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298 Commits

Author SHA1 Message Date
GitHub Actions
10e6348e77 chore: Update CHANGELOG.md 2026-01-22 21:45:53 +00:00
GitHub Actions
e431f5b496 chore: Update CHANGELOG.md 2026-01-22 20:08:52 +00:00
GitHub Actions
052a1317c0 chore: Update CHANGELOG.md 2026-01-21 22:00:41 +00:00
GitHub Actions
a6a8045031 chore: Update CHANGELOG.md 2026-01-20 23:09:04 +00:00
GitHub Actions
74cc597eb5 chore: Update CHANGELOG.md 2026-01-17 16:17:56 +00:00
GitHub Actions
923d727492 chore: Update CHANGELOG.md 2026-01-17 01:38:55 +00:00
GitHub Actions
fb3a947cb5 chore: Update CHANGELOG.md 2026-01-16 17:12:36 +00:00
Franklin Volcic
2961ddcafe Merge pull request #18489 from anthropics/fvolcic/minor-code-review-fixes
minor code review updates
2026-01-15 21:31:02 -08:00
Franklin Volcic
fd8f3801b9 minor update 2026-01-15 21:29:38 -08:00
Franklin Volcic
26315247e7 Minor code review fixes 2026-01-15 21:12:50 -08:00
GitHub Actions
5a91286a82 chore: Update CHANGELOG.md 2026-01-16 02:19:08 +00:00
GitHub Actions
3196f36cee chore: Update CHANGELOG.md 2026-01-15 23:28:44 +00:00
JB
7d22b6e167 Merge pull request #18238 from anthropics/hackyon/update-to-claude-code-action
chore: allow non-write users to trigger claude-code-action workflows
2026-01-14 18:12:25 -05:00
JB
19a829ba68 chore: allow non-write users to trigger claude-code-action workflows
Co-Authored-By: Claude <noreply@anthropic.com>
2026-01-14 18:11:06 -05:00
JB
18979efb8d Merge pull request #18209 from anthropics/hackyon/update-to-claude-code-action
fix: add github_token input to claude-code-action workflows
2026-01-14 16:31:27 -05:00
JB
f77acdf149 fix: add github_token input to claude-code-action workflows 2026-01-14 14:42:11 -05:00
JB
c13cf781ef Merge pull request #18206 from anthropics/hackyon/update-to-claude-code-action
chore: add id-token write permission for claude-code-action workflows
2026-01-14 14:21:23 -05:00
JB
cc70d3ab50 chore: add id-token write permission for claude-code-action workflows
The claude-code-action requires id-token: write permission for OIDC authentication.

Co-Authored-By: Claude <noreply@anthropic.com>
Claude-Generated-By: Claude Code (cli/claude-opus-4-5=100%)
Claude-Steers: 3
Claude-Permission-Prompts: 3
Claude-Escapes: 0
2026-01-14 14:16:13 -05:00
JB
250b257c4e Merge pull request #18198 from anthropics/hackyon/update-to-claude-code-action
chore: migrate workflows from claude-code-base-action to claude-code-action
2026-01-14 13:51:04 -05:00
JB
dec754edc9 chore: migrate workflows from claude-code-base-action to claude-code-action
Updates GitHub workflow files to use the new claude-code-action@v1 and replaces prompt_file with inline prompt parameter.

Co-Authored-By: Claude <noreply@anthropic.com>
Claude-Generated-By: Claude Code (cli/claude-opus-4-5=100%)
Claude-Steers: 3
Claude-Permission-Prompts: 4
Claude-Escapes: 0
2026-01-14 13:12:00 -05:00
GitHub Actions
6a2936ab79 chore: Update CHANGELOG.md 2026-01-14 00:03:57 +00:00
GitHub Actions
f860f671dc chore: Update CHANGELOG.md 2026-01-13 02:25:43 +00:00
ant-kurt
76df7eea04 Merge pull request #17797 from anthropics/docs/update-installation-instructions
docs: update installation instructions in README
2026-01-12 15:22:53 -08:00
ant-kurt
a8d107f9cc Merge pull request #16459 from nelsonauner/patch-1
Fix broken doc link
2026-01-12 15:17:19 -08:00
Kurt Carpenter
b640d94a49 docs: update installation instructions in README
- Add note that npm installation is deprecated
- Add link to setup documentation
- Add WinGet installation option for Windows
- Update Homebrew to indicate MacOS/Linux support
- Mark recommended installation methods
- Improve formatting with proper indentation
2026-01-12 15:12:24 -08:00
ant-kurt
b17c088cdc Merge pull request #17238 from anthropics/ci/update-base-action
ci: update claude-code-base-action and claude-code-action to v1
2026-01-12 11:38:56 -08:00
GitHub Actions
a856c62014 chore: Update CHANGELOG.md 2026-01-12 18:48:06 +00:00
GitHub Actions
0359f24538 chore: Update CHANGELOG.md 2026-01-11 00:28:09 +00:00
Kurt Carpenter
b8497141a5 chore: upgrade claude-code actions from @beta to @v1
- Update action references from @beta to @v1
- Move allowed_tools to --allowedTools in claude_args
- Move mcp_config to --mcp-config in claude_args
- Move claude_env to step-level env block
- Replace timeout_minutes with GitHub native timeout-minutes

Claude-Generated-By: Claude Code (cli/claude-opus-4-5=100%)
Claude-Steers: 8
Claude-Permission-Prompts: 3
Claude-Escapes: 0
2026-01-09 18:54:19 -08:00
Kurt Carpenter
9cc635aac1 ci: update claude-code-base-action and claude-code-action to v1 2026-01-09 18:24:29 -08:00
GitHub Actions
4f18698a9e chore: Update CHANGELOG.md 2026-01-09 23:32:24 +00:00
GitHub Actions
553d6ffc3e chore: Update CHANGELOG.md 2026-01-09 00:04:20 +00:00
Franklin Volcic
7b600bca3b Merge pull request #16938 from fvolcic/fix-committable-suggestions-docs
refactor(code-review): improve issue flagging and agent behavior
2026-01-08 15:49:22 -05:00
Franklin Volcic
4700be03eb revert: restore marketplace.json to upstream state 2026-01-08 15:46:40 -05:00
Franklin Volcic
9b08c1010b refactor(code-review): simplify inline comment instructions and clarify issue criteria
1. Remove redundant tool parameter descriptions - MCP tool is source of truth

2. Clarify what issues to flag:
   - Compile/parse errors (syntax, types, imports, references)
   - Clear logic errors that produce wrong results regardless of inputs
   - CLAUDE.md violations

3. Clarify what NOT to flag:
   - Code style or quality concerns
   - Issues that depend on specific inputs or state
   - Subjective suggestions
2026-01-08 15:43:21 -05:00
Thariq Shihipar
f34e2535b4 Merge pull request #16743 from anthropics/ThariqS-patch-1
Update CHANGELOG.md to reference IS_DEMO
2026-01-07 18:16:58 -06:00
GitHub Actions
4297e57ef1 chore: Update CHANGELOG.md 2026-01-08 00:16:11 +00:00
Thariq Shihipar
0d0221fd0a Update CHANGELOG.md to reference IS_DEMO 2026-01-07 16:14:39 -08:00
GitHub Actions
5aac2b1b6a chore: Update CHANGELOG.md 2026-01-07 21:30:49 +00:00
GitHub Actions
2bb8af55fa chore: Update CHANGELOG.md 2026-01-07 20:36:59 +00:00
Boris Cherny
a19dd76dcf Merge pull request #16686 from anthropics/bcherny-patch-7
Update CHANGELOG.md
2026-01-07 12:31:21 -08:00
Boris Cherny
63eefe157a Update CHANGELOG.md 2026-01-07 12:30:35 -08:00
GitHub Actions
870624fc15 chore: Update CHANGELOG.md 2026-01-07 20:03:52 +00:00
Franklin Volcic
2c3884689b Rename marketplace to franklin-plugins for sandbox testing 2026-01-07 13:50:23 -05:00
David Dworken
03129a27b0 Merge pull request #16635 from ddworken/dworken/validate-issue-exists
fix: validate that issues exist before commenting on duplicates
2026-01-07 11:03:50 -05:00
David Dworken
a3df424857 fix: validate that issues exist before commenting on duplicates
Add validation to comment-on-duplicates.sh that verifies the base issue
and all potential duplicate issues actually exist in the repo before
posting a comment.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2026-01-07 07:57:56 -08:00
Boris Cherny
0b86fdb0e0 fix(security): Remove overly broad gh api permission from dedupe command (#16549)
* fix(security): Remove overly broad gh api permission from dedupe command

Remove `Bash(gh api:*)` from dedupe.md allowed-tools to prevent potential
secret exfiltration via prompt injection. The dedupe workflow only needs
gh issue view/list/comment and gh search commands - it doesn't require
raw API access.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

* feat: Add comment-on-duplicates script for safer duplicate handling

Replace `gh issue comment:*` permission with a constrained script that:
- Only accepts validated issue numbers
- Enforces max 3 duplicates
- Uses a fixed comment format
- Prevents arbitrary comment content injection

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-07 08:46:31 +05:30
Anthony Morris
c2022d3698 fix(ralph-wiggum): add :* to allowed-tools pattern to permit arguments (#16522)
The allowed-tools pattern was missing :* suffix, causing permission check
failures when arguments were passed to the setup script via ```! block.

Fixes #16398
2026-01-06 13:46:09 -08:00
sarahdeaton
e515f50dff Merge pull request #16474 from anthropics/fix-data-usage-link
docs: Fix links to Claude Code docs in README.
2026-01-06 11:23:17 -08:00
Sarah Deaton
24ad98a95f docs: Fix links to Claude Code docs in README. 2026-01-06 06:47:41 -08:00
Nelson Auner
495d6a3d4b Fix broken doc link
Current doc link is dated, no longer exists
2026-01-06 05:26:23 -08:00
Anthony Morris
5c92b97cc4 fix(ralph-wiggum): move multi-line bash from command to setup script (#16320)
Fixes #12170

The ralph-wiggum slash commands had multi-line bash scripts in their
```! blocks. Claude Code's security check blocks commands with
newlines to prevent command injection, causing the error:

  "Command contains newlines that could separate multiple commands"

Changes:

ralph-loop.md:
- Remove multi-line bash from code block
- Keep single-line call to setup script
- Keep scoped allowed-tools for security

cancel-ralph.md:
- Replace multi-line bash with step-by-step instructions
- Tighten allowed-tools to specific file paths

setup-ralph-loop.sh:
- Add completion promise display logic (moved from ralph-loop.md)
- Uses COMPLETION_PROMISE variable directly instead of reading from file
2026-01-04 23:27:48 -08:00
GitHub Actions
d213a74fc8 chore: Update CHANGELOG.md 2025-12-19 22:13:14 +00:00
GitHub Actions
52115592ba chore: Update CHANGELOG.md 2025-12-19 00:59:25 +00:00
Franklin Volcic
5d2df70860 Merge pull request #14527 from anthropics/fvolcic/code-review-updates
Improve code review inline comments
2025-12-18 13:52:59 -08:00
Franklin Volcic
b8a2ffb38f Require committable suggestions to be complete
Suggestions must include all necessary changes. If a fix requires
additional work elsewhere (e.g., renaming a variable requires updating
usages), use the Claude Code prompt format instead of a partial suggestion.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-18 13:30:25 -08:00
Franklin Volcic
9fd556d947 Skip summary comment when posting inline comments
Only post a summary comment when no issues are found. When issues
exist, post inline comments directly without a redundant summary block.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-12-18 13:24:03 -08:00
Franklin Volcic
b31e2fd182 Merge pull request #14385 from anthropics/fvolcic/inline-comments
Add inline comments with suggestions to code-review plugin
2025-12-17 15:55:23 -08:00
Franklin Volcic
d2cb503247 Remove header, add Claude Code prompt for larger fixes 2025-12-17 15:32:23 -08:00
Franklin Volcic
5fe61207ff Allow committable suggestions up to 5 lines 2025-12-17 15:28:50 -08:00
Franklin Volcic
1ed82e6af0 Refine inline comment formatting: no Bug prefix, summary first, limit suggestion size 2025-12-17 15:27:37 -08:00
Franklin Volcic
2a61cb364c Add inline comments with suggestions to code-review plugin 2025-12-17 15:20:12 -08:00
GitHub Actions
6880bcbace chore: Update CHANGELOG.md 2025-12-17 21:55:53 +00:00
GitHub Actions
4392352687 chore: Update CHANGELOG.md 2025-12-16 22:06:07 +00:00
kashyap murali
c27c6f4e4a Merge pull request #14071 from anthropics/claude/slack-make-no-comment-default-Qqha8
Make no-comment the default for /code-review
2025-12-16 12:22:18 -08:00
GitHub Actions
0dde1fef97 chore: Update CHANGELOG.md 2025-12-15 23:49:39 +00:00
Claude
e4f682030b Make no-comment the default for /code-review
Change the default behavior of /code-review to output to the terminal
instead of posting a PR comment. Users can use the --comment flag to
explicitly post the review as a PR comment when desired.

This is more suitable for local development workflows where posting
comments to the PR is not always needed.
2025-12-15 17:50:32 +00:00
GitHub Actions
eb87245010 chore: Update CHANGELOG.md 2025-12-13 00:59:55 +00:00
GitHub Actions
3680637065 chore: Update CHANGELOG.md 2025-12-12 23:31:50 +00:00
GitHub Actions
2192c86c20 chore: Update CHANGELOG.md 2025-12-12 01:29:45 +00:00
kashyap murali
dfd3494132 Merge pull request #13739 from anthropics/claude/slack-session-01GzKi42xM3SphuxeQ4De88U
Remove footer from code-review plugin output
2025-12-11 14:42:30 -08:00
Claude
e8cca9a7af Remove footer from code-review plugin output
Remove the "Generated with Claude Code" footer and feedback CTA
from the code review comment template as it adds noise without
providing value after the first viewing.
2025-12-11 22:40:32 +00:00
GitHub Actions
6358669884 chore: Update CHANGELOG.md 2025-12-11 19:07:31 +00:00
GitHub Actions
ace0a82778 chore: Update CHANGELOG.md 2025-12-11 04:39:56 +00:00
GitHub Actions
e095e1270a chore: Update CHANGELOG.md 2025-12-10 08:18:47 +00:00
GitHub Actions
69da5e8269 chore: Update CHANGELOG.md 2025-12-10 02:27:37 +00:00
GitHub Actions
7069a25987 chore: Update CHANGELOG.md 2025-12-09 02:08:28 +00:00
GitHub Actions
de49a07679 chore: Update CHANGELOG.md 2025-12-07 10:44:43 +00:00
Franklin Volcic
cbc55b7d54 Merge pull request #13177 from anthropics/fvolcic/code-review-command-updates 2025-12-05 18:22:08 -08:00
Franklin Volcic
e836d4ea90 fix allowed tools list 2025-12-05 17:55:00 -08:00
Franklin Volcic
52465789e2 fix allowed tools list 2025-12-05 17:54:25 -08:00
Franklin Volcic
9babb8dbbf Update the code review prompt 2025-12-05 17:48:34 -08:00
GitHub Actions
b1a46e6623 chore: Update CHANGELOG.md 2025-12-06 00:06:43 +00:00
GitHub Actions
5ef1391afc chore: Update CHANGELOG.md 2025-12-04 23:06:16 +00:00
GitHub Actions
337cc419c3 chore: Update CHANGELOG.md 2025-12-03 20:06:45 +00:00
GitHub Actions
5e98326f42 chore: Update CHANGELOG.md 2025-12-03 19:25:03 +00:00
GitHub Actions
56a3ef77c5 chore: Update CHANGELOG.md 2025-12-03 12:16:31 +00:00
GitHub Actions
5b69f85043 chore: Update CHANGELOG.md 2025-12-03 05:15:40 +00:00
Ashwin Bhat
5e3e9408fe Revert "Revert "Add stale issue management workflows" (#9304)" (#12917)
This reverts commit a6e0921729.
2025-12-02 15:19:09 -08:00
GitHub Actions
4928f2cdca chore: Update CHANGELOG.md 2025-12-02 01:31:29 +00:00
GitHub Actions
84d7b08539 chore: Update CHANGELOG.md 2025-11-26 23:57:28 +00:00
GitHub Actions
10b8736b55 chore: Update CHANGELOG.md 2025-11-26 17:22:35 +00:00
GitHub Actions
29a5fe7eca chore: Update CHANGELOG.md 2025-11-26 01:03:45 +00:00
Stephen Grider
26b5c07c59 Merge pull request #12409 from anthropics/sgrider/plugin-1125
chore: alphabetize plugins and update README with comprehensive table
2025-11-25 15:36:50 -07:00
Stephen Grider
4ae2cb4e5e chore: alphabetize plugins and update README with comprehensive table 2025-11-25 15:00:24 -07:00
GitHub Actions
3464c7955f chore: Update CHANGELOG.md 2025-11-24 23:28:19 +00:00
William Hu
5880baedc3 Merge pull request #12280 from anthropics/whu/opus-migration
Claude Opus 4.5 migration plugin
2025-11-24 11:05:28 -08:00
GitHub Actions
47d996cb4a chore: Update CHANGELOG.md 2025-11-24 18:51:46 +00:00
GitHub Actions
34dcaa13bc chore: Update CHANGELOG.md 2025-11-24 18:45:14 +00:00
William Hu
a194a9d41b Claude Opus 4.5 migration plugin 2025-11-23 23:24:09 -08:00
GitHub Actions
eb39543260 chore: Update CHANGELOG.md 2025-11-21 23:28:28 +00:00
GitHub Actions
b83c5cfda3 chore: Update CHANGELOG.md 2025-11-21 23:13:29 +00:00
Steve M
5a17f570db docs: Update README with skills and hooks sections (#11818)
* docs: Update README with skills and hooks sections

Added sections for skills and hooks to the plugin structure per the [official documentation](https://code.claude.com/docs/en/plugins#plugin-structure-overview).

* docs: add .mcp.json

---------

Co-authored-by: Anthony Morris <amorriscode@gmail.com>
2025-11-21 01:39:58 -08:00
GitHub Actions
bcda757fff chore: Update CHANGELOG.md 2025-11-21 01:28:41 +00:00
GitHub Actions
3c95987059 chore: Update CHANGELOG.md 2025-11-21 00:30:58 +00:00
GitHub Actions
021b91b5eb chore: Update CHANGELOG.md 2025-11-19 23:08:43 +00:00
GitHub Actions
13a258a3fe chore: Update CHANGELOG.md 2025-11-19 04:37:08 +00:00
GitHub Actions
68ba47859a chore: Update CHANGELOG.md 2025-11-18 16:47:22 +00:00
Daisy S. Hollman
c508e59e8a Merge pull request #11780 from anthropics/daisy/plugin-dev/public-marketplace
Add plugin-dev toolkit for comprehensive plugin development
2025-11-17 22:54:12 -08:00
GitHub Actions
8f34f4744d chore: Update CHANGELOG.md 2025-11-18 00:26:04 +00:00
Daisy S. Hollman
387dc35db7 feat: Add plugin-dev toolkit for comprehensive plugin development
Adds the plugin-dev plugin to public marketplace. A comprehensive toolkit for
developing Claude Code plugins with 7 expert skills, 3 AI-assisted agents, and
extensive documentation covering the complete plugin development lifecycle.

Key features:
- 7 skills: hook-development, mcp-integration, plugin-structure, plugin-settings,
  command-development, agent-development, skill-development
- 3 agents: agent-creator (AI-assisted generation), plugin-validator (structure
  validation), skill-reviewer (quality review)
- 1 command: /plugin-dev:create-plugin (guided 8-phase workflow)
- 10 utility scripts for validation and testing
- 21 reference docs with deep-dive guidance (~11k words)
- 9 working examples demonstrating best practices

Changes for public release:
- Replaced all references to internal repositories with "Claude Code"
- Updated MCP examples: internal.company.com → api.example.com
- Updated token variables: ${INTERNAL_TOKEN} → ${API_TOKEN}
- Reframed agent-creation-system-prompt as "proven in production"
- Preserved all ${CLAUDE_PLUGIN_ROOT} references (186 total)
- Preserved valuable test blocks in core modules

Validation:
- All 3 agents validated successfully with validate-agent.sh
- All JSON files validated with jq
- Zero internal references remaining
- 59 files migrated, 21,971 lines added

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 04:09:00 -08:00
Daisy S. Hollman
31ba6e541b Merge pull request #11752 from anthropics/daisy/ralph-wiggum/public-marketplace
Add ralph-wiggum and hookify plugins to public marketplace
2025-11-17 03:28:08 -08:00
Daisy S. Hollman
59372c0921 feat: Add hookify plugin for custom hook rules via markdown
Adds the hookify plugin to public marketplace. Enables users to create custom
hooks using simple markdown configuration files instead of editing JSON.

Key features:
- Define rules with regex patterns to warn/block operations
- Create rules from explicit instructions or conversation analysis
- Pattern-based matching for bash commands, file edits, prompts, stop events
- Enable/disable rules dynamically without editing code
- Conversation analyzer agent finds problematic behaviors

Changes from internal version:
- Removed non-functional SessionStart hook (not registered in hooks.json)
- Removed all sessionstart documentation and examples
- Fixed restart documentation to consistently state "no restart needed"
- Changed license from "Internal Anthropic use only" to "MIT License"
- Kept test blocks in core modules (useful for developers)

Plugin provides:
- 4 commands: /hookify, /hookify:list, /hookify:configure, /hookify:help
- 1 agent: conversation-analyzer
- 1 skill: writing-rules
- 4 hook types: PreToolUse, PostToolUse, Stop, UserPromptSubmit
- 4 example rules ready to use

All features functional and suitable for public use.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-17 03:18:43 -08:00
Daisy S. Hollman
68f90e05dd feat: Add ralph-wiggum plugin for iterative self-referential development
Migrates the ralph-wiggum plugin from internal marketplace to public marketplace.
Implements Geoffrey Huntley's "Ralph Wiggum" technique using Claude Code's Stop
hook mechanism for continuous iterative development loops.

Key features:
- Interactive self-referential AI loops in current session
- Stop hook intercepts exit and feeds same prompt back
- Iteration tracking and completion promise detection
- Max iterations safety limits

Changes:
- Remove all tmux dependencies and background execution mode
- Simplify to interactive-only mode using Stop hooks
- Add comprehensive error handling with clear messages
- Fix documentation to accurately describe Stop hook mechanism
- Add input validation for all command-line arguments
- Register plugin in public marketplace

Security fixes:
- Remove eval usage (command injection vulnerability)
- Add numeric validation before arithmetic operations
- Remove silent error suppression

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-16 13:53:45 -08:00
GitHub Actions
5dd91a9fe2 chore: Update CHANGELOG.md 2025-11-15 00:14:00 +00:00
GitHub Actions
17945ae3d5 chore: Update CHANGELOG.md 2025-11-14 22:40:04 +00:00
GitHub Actions
d594fd24b9 chore: Update CHANGELOG.md 2025-11-14 19:28:50 +00:00
Thariq Shihipar
2b535344fc Merge pull request #11518 from anthropics/add-frontend-design-plugin
feat: Add plugin.json metadata for frontend-design plugin
2025-11-12 15:04:26 -08:00
Thariq Shihipar
c91a6b660d feat: Add plugin.json metadata for frontend-design plugin
Add plugin metadata configuration file with version, description, and author information for the frontend-design plugin.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-12 14:15:38 -08:00
Wanghong Yuan
0b4215d637 Merge pull request #11495 from anthropics/whyuan-code-review
update code review plugin
2025-11-12 08:50:03 -08:00
Wanghong Yuan MacBook
b85cc4474f update 2025-11-12 08:43:01 -08:00
Wanghong Yuan MacBook
fc3c2c26e0 update 2025-11-12 08:40:43 -08:00
Wanghong Yuan MacBook
dd65bc4d16 update 2025-11-12 08:35:27 -08:00
Thariq Shihipar
dfd715012f Merge pull request #11454 from anthropics/add-frontend-design-plugin
feat: Add frontend-design plugin to marketplace
2025-11-11 20:17:40 -08:00
Thariq Shihipar
62c3cbc471 feat: Add frontend-design plugin to marketplace
Add a new plugin that helps create distinctive, production-grade frontend interfaces with high design quality. The plugin includes a skill that generates creative, polished code avoiding generic AI aesthetics.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-11 17:31:51 -08:00
Boris Cherny
556d296786 Merge pull request #10912 from saadiq/docs/update-installation-options
docs: Update README installation options to match official docs
2025-11-11 14:34:32 -08:00
Boris Cherny
8a0bfd3687 Merge branch 'main' into docs/update-installation-options 2025-11-11 14:34:00 -08:00
Boris Cherny
5d66745e78 Merge pull request #11029 from jamestrew/plugins-hook-portable-shabang
fix: use portable shebang in plugin hooks
2025-11-11 14:30:27 -08:00
Boris Cherny
18043d7474 Merge pull request #11297 from ravshansbox/patch-1
Update installation instructions for Claude Code
2025-11-11 14:28:48 -08:00
GitHub Actions
d38bde5087 chore: Update CHANGELOG.md 2025-11-11 00:18:17 +00:00
Boris Cherny
970fff49e2 Merge pull request #11326 from anthropics/bcherny-patch-6 2025-11-09 21:50:35 -08:00
Boris Cherny
2d0fcacc05 Update code-review.md to avoid flagging test failures 2025-11-09 13:04:12 -08:00
Ravshan Samandarov
f09b24c49a Update installation instructions for Claude Code 2025-11-09 08:47:52 +03:00
GitHub Actions
1fe9e369a7 chore: Update CHANGELOG.md 2025-11-07 22:00:42 +00:00
GitHub Actions
b95fa46499 chore: Update CHANGELOG.md 2025-11-06 21:04:19 +00:00
GitHub Actions
7a05427a4b chore: Update CHANGELOG.md 2025-11-05 21:07:53 +00:00
James Trew
3af8ef29be fix: use portable shebang in plugin hooks
Replace #!/bin/bash with #!/usr/bin/env bash for better portability across systems

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-04 20:46:10 -05:00
GitHub Actions
84b97165dd chore: Update CHANGELOG.md 2025-11-04 22:34:37 +00:00
GitHub Actions
07dcea57ee chore: Update CHANGELOG.md 2025-11-04 00:57:10 +00:00
Saadiq Rodgers-King
1e95326e12 docs: Update README installation options to match official docs
Expands the installation section to include all available methods:
- macOS/Linux (curl installer)
- Homebrew
- Windows (PowerShell installer)
- NPM

This brings the repository README in line with the official documentation at https://docs.claude.com/en/docs/claude-code/overview
2025-11-03 09:59:16 -05:00
Boris Cherny
b42fd9928c Merge pull request #10830 from anthropics/boris/pumg
Add explanatory-output-style and learning-output-style plugins to marketplace
2025-11-01 16:26:53 -07:00
Boris Cherny
128de2a75d feat: Add explanatory-output-style and learning-output-style plugins to marketplace
Added two missing plugins to the marketplace.json:
- explanatory-output-style: Adds educational insights about implementation choices
- learning-output-style: Interactive learning mode that requests code contributions

Both plugins are categorized under "learning" to help users discover educational tools.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-01 16:15:21 -07:00
Boris Cherny
b8a98a8df7 Merge pull request #10826 from anthropics/boris/rmbx
feat: Add learning-output-style plugin
2025-11-01 15:55:57 -07:00
claude[bot]
ba49573fe1 feat: Incorporate explanatory functionality into learning-output-style plugin
- Update session-start.sh to include explanatory insights alongside learning mode
- Add educational insight formatting with ★ Insight sections
- Update README.md to clarify differences from unshipped Learning output style
- Document that this plugin now combines both learning and explanatory functionality
- Address review feedback about incorporating explanatory-output-style features

Co-authored-by: Boris Cherny <bcherny@users.noreply.github.com>
2025-11-01 22:37:17 +00:00
Boris Cherny
015808d89c feat: Add learning-output-style plugin
Add interactive learning mode plugin that requests meaningful code contributions at decision points. Based on the unshipped Learning output style, this plugin engages users in active learning by having them write 5-10 lines of code for business logic, error handling, and design decisions.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-01 15:26:34 -07:00
GitHub Actions
ae411f8461 chore: Update CHANGELOG.md 2025-11-01 00:47:17 +00:00
GitHub Actions
4310085cb5 chore: Update CHANGELOG.md 2025-10-31 23:27:06 +00:00
GitHub Actions
c509821adc chore: Update CHANGELOG.md 2025-10-31 21:57:10 +00:00
GitHub Actions
d9aa4cf649 chore: Update CHANGELOG.md 2025-10-31 16:02:25 +00:00
GitHub Actions
b935da77db chore: Update CHANGELOG.md 2025-10-30 23:32:01 +00:00
Dickson Tsai
0c7d02b56f Merge pull request #10495 from anthropics/dickson/explanatory-output-style
Implement Explanatory output style as a plugin
2025-10-29 11:04:44 -07:00
Dickson Tsai
8b47e224a0 Editorial changes 2025-10-29 08:37:48 -07:00
Dickson Tsai
21bbc9f250 Merge pull request #10445 from stbenjam/lints
Add missing plugin.json files to fix claudelint errors
2025-10-29 08:19:27 -07:00
Catherine Wu
7add6863a0 Merge pull request #10076 from anthropics/add-oncall-triage-workflow
Add oncall triage slash command for issue management
2025-10-28 20:12:35 -07:00
Cat Wu
5484a86d28 Increase oncall triage engagement threshold to 50
Updates the oncall triage automation to require 50+ engagements
(comments + reactions) before applying the oncall label, making the
criteria more conservative to focus on the most critical issues.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-28 20:04:53 -07:00
Dickson Tsai
10e1d3fe77 Implement a plugin as alternative for deprecated Explanatory output style 2025-10-28 02:39:56 -07:00
GitHub Actions
4dc23d0275 chore: Update CHANGELOG.md 2025-10-28 00:45:49 +00:00
GitHub Actions
8077cdc68c chore: Update CHANGELOG.md 2025-10-27 21:29:34 +00:00
Stephen Benjamin
207b22de65 Add missing plugin.json files to fix claudelint errors
Added plugin metadata files for code-review and commit-commands plugins
to comply with Claude plugin structure requirements. These files were
identified as missing by the [claudelint](https://github.com/stbenjam/claudelint)
tool, which validates plugin structure and format according to the Claude
Code plugin conventions.
2025-10-27 12:49:45 -04:00
Ashwin Bhat
52fea66ba5 Update code-review.md (#10358) 2025-10-25 21:58:21 -07:00
Wanghong Yuan
4e417747c5 Merge pull request #10227 from anthropics/add-code-review-plugin
Add code-review plugin for automated PR reviews
2025-10-24 15:38:33 -07:00
GitHub Actions
1b41969c71 chore: Update CHANGELOG.md 2025-10-24 22:04:57 +00:00
Wanghong Yuan MacBook
e9af4d7c1d rm gh api 2025-10-24 13:08:13 -07:00
Wanghong Yuan MacBook
48a8bfc2b1 Add code-review plugin to marketplace.json
Added marketplace entry for the code-review plugin, which provides automated PR review using multiple specialized agents with confidence-based scoring.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-23 23:35:40 -07:00
Wanghong Yuan MacBook
546f0b46ac Add code-review plugin with automated PR review workflow
Add new code-review plugin that provides automated pull request reviews using multiple specialized agents with confidence-based scoring to filter false positives.

Key features:
- Multiple parallel agents for independent auditing (CLAUDE.md compliance, bug detection, historical context)
- Confidence-based scoring (0-100) with 80+ threshold to filter false positives
- Automatic skipping of closed, draft, or already-reviewed PRs
- Links directly to code with full SHA and line ranges

Updates:
- Add code-review plugin directory with command and README
- Update plugins/README.md to document the new plugin

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-23 23:11:44 -07:00
GitHub Actions
3be7215354 chore: Update CHANGELOG.md 2025-10-21 21:34:34 +00:00
Cat Wu
5d0e5cf15f Add oncall triage slash command for issue management
Creates a new /oncall-triage command that automates the process of triaging GitHub issues and labeling critical ones for oncall attention.

The command:
- Fetches open bugs updated in last 3 days with 5+ engagements
- Systematically evaluates each issue for blocking severity
- Adds "oncall" label to truly blocking issues
- Provides summary of all issues that received the label

Includes guidance to use individual gh commands instead of bash loops to avoid approval prompts.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-21 13:44:18 -07:00
Catherine Wu
71bb75e3b5 Merge pull request #10023 from anthropics/add-oncall-triage-workflow
Add automated oncall triage workflow
2025-10-21 09:49:49 -07:00
Catherine Wu
1b827ad951 Merge pull request #10024 from anthropics/claude/investigate-workflow-config-011CUKnhpbage9BLno96Adg1
feat: upgrade GitHub workflows to use Claude Sonnet 4.5
2025-10-21 09:49:40 -07:00
Cat Wu
113ea425ac Add automated oncall triage workflow
Implements a GitHub Actions workflow that automatically identifies and labels critical blocking issues requiring oncall attention.

Features:
- Runs every 6 hours via cron schedule
- Fetches open issues updated in the last 3 days (5 per page to avoid context overflow)
- Orders by UPDATED_AT DESC and stops when hitting issues older than 3 days
- Evaluates each issue for bug status, engagement level (5+), and blocking severity
- Uses LLM comprehension to determine true blocking impact, not keyword matching
- Applies "oncall" label to qualifying issues via GitHub MCP tools
- Provides detailed summary including processed count, labeled issues, and close calls

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-20 23:13:36 -07:00
Claude
70cb0d1016 feat: upgrade GitHub workflows to use Claude Sonnet 4.5
Update all Claude Code GitHub Action workflows to use the latest Sonnet 4.5 model (claude-sonnet-4-5-20250929) instead of the default Sonnet 4.0 model. This provides improved performance and capabilities for:
- Issue commenting and PR reviews (claude.yml)
- Automated issue triage (claude-issue-triage.yml)
- Duplicate issue detection (claude-dedupe-issues.yml)

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-21 05:30:35 +00:00
GitHub Actions
ff0aafa946 chore: Update CHANGELOG.md 2025-10-20 22:56:31 +00:00
GitHub Actions
fb9d9169a0 chore: Update CHANGELOG.md 2025-10-18 00:27:28 +00:00
Ashwin Bhat
cabd74fa9e docs: Add comprehensive plugin documentation (#9797)
- Add plugins section to main README with link to detailed docs
- Create plugins/README.md with overview of all available plugins
- Add detailed READMEs for agent-sdk-dev, commit-commands, and feature-dev plugins
- Document all commands, agents, usage patterns, and workflows

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude <noreply@anthropic.com>
2025-10-17 16:44:48 -07:00
GitHub Actions
0ea180e55e chore: Update CHANGELOG.md 2025-10-17 22:26:06 +00:00
GitHub Actions
b4b858a115 chore: Update CHANGELOG.md 2025-10-16 16:48:05 +00:00
GitHub Actions
25f5057c37 chore: Update CHANGELOG.md 2025-10-15 22:26:23 +00:00
GitHub Actions
6dd90b2b89 chore: Update CHANGELOG.md 2025-10-15 20:16:40 +00:00
GitHub Actions
32d0be96e3 chore: Update CHANGELOG.md 2025-10-15 16:54:54 +00:00
GitHub Actions
5096c85c4a chore: Update CHANGELOG.md 2025-10-14 17:47:02 +00:00
GitHub Actions
24aa2626cc chore: Update CHANGELOG.md 2025-10-10 21:16:29 +00:00
Ashwin Bhat
a6e0921729 Revert "Add stale issue management workflows" (#9304) 2025-10-10 09:02:03 -07:00
GitHub Actions
8462b0700b chore: Update CHANGELOG.md 2025-10-09 17:50:27 +00:00
Ashwin Bhat
88d3666b7f Remove model specification from new-sdk-app command (#9232)
The model field is no longer needed in the command frontmatter as model selection is now handled at a different level.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude <noreply@anthropic.com>
2025-10-09 10:11:08 -07:00
Ashwin Bhat
87a3b338c6 refactor: Update agent-sdk-dev plugin structure and configuration (#9230)
- Move plugin.json to .claude-plugin directory to match pr-review-toolkit pattern
- Add author information: Ashwin Bhat (ashwin@anthropic.com)
- Update model field from sonnet-4.5 to sonnet in all agent/command definitions

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude <noreply@anthropic.com>
2025-10-09 09:56:12 -07:00
David Dworken
c6a1c392d7 Merge pull request #9231 from ddworken/dworken/marketplace
feat: add security-guidance plugin to marketplace.json
2025-10-09 09:52:58 -07:00
David Dworken
559db46b72 feat: add security-guidance plugin to marketplace.json 2025-10-09 09:50:34 -07:00
Sid Bidasaria
3139f287fb Merge pull request #9229 from anthropics/sidb/fix-feature-dev-agents
fix: agent model idenitifer names
2025-10-09 09:45:32 -07:00
Sid Bidasaria
00f53cb2cb fix: agent model idenitifer names 2025-10-09 09:44:24 -07:00
GitHub Actions
af073adcd1 chore: Update CHANGELOG.md 2025-10-09 16:32:49 +00:00
Sid Bidasaria
b03aea4649 Merge pull request #9226 from anthropics/sidb/feature-dev
feat: add feature-dev plugin
2025-10-09 09:31:28 -07:00
Sid Bidasaria
5cff78741f feat: add feature-dev to public marketplace 2025-10-09 09:29:11 -07:00
Daisy S. Hollman
8d1be7bc48 Merge pull request #6369 from anthropics/ashwin/taskreaper
Add stale issue management workflows
2025-10-09 09:19:00 -07:00
David Dworken
f876b85116 feat: Add security-guidance plugin in claude-code repo (#9223) 2025-10-09 09:10:43 -07:00
Daisy S. Hollman
a0317fcc53 Merge pull request #9220 from anthropics/ashwin/pluginimport
Bundle core plugins into claude-code repo
2025-10-09 08:36:21 -07:00
Ashwin Bhat
f7ab5c799c feat: Bundle core plugins into claude-code repo
Add bundled plugins from claude-code-marketplace into a new plugins/ directory:
- agent-sdk-dev: Development kit for Claude Agent SDK with TypeScript/Python verifiers
- ireview-plugin: Comprehensive AI+Human PR review toolkit with 9 specialized agents
- commit-commands: Git commit workflow commands (commit, push, PR creation)

Created .claude-plugin/marketplace.json at repo root to register the bundled plugins.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-08 17:03:57 -07:00
GitHub Actions
c1cd23641c chore: Update CHANGELOG.md 2025-10-08 21:38:36 +00:00
GitHub Actions
7b8230ab30 chore: Update CHANGELOG.md 2025-10-08 20:38:22 +00:00
GitHub Actions
9c12000c6b chore: Update CHANGELOG.md 2025-10-06 21:56:42 +00:00
GitHub Actions
852d74c61c chore: Update CHANGELOG.md 2025-10-04 23:16:14 +00:00
GitHub Actions
16f01d42e2 chore: Update CHANGELOG.md 2025-10-04 22:18:20 +00:00
GitHub Actions
4a81335287 chore: Update CHANGELOG.md 2025-10-02 19:29:00 +00:00
GitHub Actions
bee44763a0 chore: Update CHANGELOG.md 2025-10-01 02:29:12 +00:00
GitHub Actions
30cc434f2c chore: Update CHANGELOG.md 2025-10-01 00:47:55 +00:00
GitHub Actions
5062ed93fc chore: Update CHANGELOG.md 2025-09-30 02:44:30 +00:00
GitHub Actions
f73eee0ead chore: Update CHANGELOG.md 2025-09-29 17:20:23 +00:00
Boris Cherny
33f1bfe5d8 Merge pull request #8352 from anthropics/boris/euws
Update demo.gif
2025-09-29 10:14:09 -07:00
Boris Cherny
1abf1a56c5 Update demo.gif with latest recording
🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-29 09:50:14 -07:00
Boris Cherny
970758b9d2 Merge pull request #8082 from mgiovani/fix/issue-7730-broken-links
fix: broken links in issue template configuration
2025-09-29 08:34:55 -07:00
GitHub Actions
bd8aff23f2 chore: Update CHANGELOG.md 2025-09-26 01:18:15 +00:00
GitHub Actions
d132c322e1 chore: Update CHANGELOG.md 2025-09-25 04:23:05 +00:00
Adam Wolff
272a20131f Merge pull request #8160 from anthropics/adam/restore
Restore dedupe workflows
2025-09-24 18:11:13 -07:00
Adam Wolff
09a020096a Restore dedupe workflows
This reverts commit d81efef324.
2025-09-24 18:01:05 -07:00
GitHub Actions
f5f6c7693c chore: Update CHANGELOG.md 2025-09-23 23:48:04 +00:00
Giovani Moutinho
fa55bc6eeb Fix broken links in issue template configuration
- Update all documentation URLs from docs.anthropic.com to docs.claude.com to avoid redirects
- Change Getting Started Guide URL from /getting-started to /quickstart path
- Remove Discussions link as GitHub Discussions are not enabled for this repository

Fixes #7730
2025-09-23 19:34:52 -03:00
GitHub Actions
4c9c16f23d chore: Update CHANGELOG.md 2025-09-23 21:59:17 +00:00
GitHub Actions
d8841efb1d chore: Update CHANGELOG.md 2025-09-19 23:55:20 +00:00
bogini
dabdebdabf Merge pull request #7895 from anthropics/inigo/cleanup
cleanup
2025-09-19 15:46:18 -07:00
inigo
d81efef324 cleanup
🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-19 10:39:06 -07:00
GitHub Actions
acfacb9f62 chore: Update CHANGELOG.md 2025-09-19 06:44:52 +00:00
GitHub Actions
9e13ea7680 chore: Update CHANGELOG.md 2025-09-19 00:59:00 +00:00
GitHub Actions
0a1b93058b chore: Update CHANGELOG.md 2025-09-16 00:51:22 +00:00
GitHub Actions
c382eb800e chore: Update CHANGELOG.md 2025-09-13 02:26:57 +00:00
GitHub Actions
ccc3fdf1ad chore: Update CHANGELOG.md 2025-09-12 01:19:27 +00:00
GitHub Actions
fdc9b02a9c chore: Update CHANGELOG.md 2025-09-10 23:55:55 +00:00
GitHub Actions
92747c9ba5 chore: Update CHANGELOG.md 2025-09-10 00:49:40 +00:00
GitHub Actions
a569a80930 chore: Update CHANGELOG.md 2025-09-10 00:19:58 +00:00
GitHub Actions
73e2ca0adc chore: Update CHANGELOG.md 2025-09-09 21:39:05 +00:00
GitHub Actions
c3a32e4ccf chore: Update CHANGELOG.md 2025-09-08 23:38:38 +00:00
GitHub Actions
2511feadf3 chore: Update CHANGELOG.md 2025-09-08 23:38:22 +00:00
bogini
bdba4a874d Merge pull request #7224 from anthropics/inigo/fix-repository-dispatch
Update workflow
2025-09-05 15:27:14 -07:00
inigo
cd043128fe Update workflow 2025-09-05 15:26:12 -07:00
inigo
8fba17cb99 Fix cross-repo workflow trigger mechanism 2025-09-05 15:15:25 -07:00
bogini
2b3a504f85 Merge pull request #7211 from anthropics/inigo/make-workflow-name-configurable
Add workflow configuration
2025-09-05 10:27:45 -07:00
inigo
1bcc5cf5bd msg 2025-09-05 09:21:33 -07:00
inigo
3e00a44590 Add workflow variable 2025-09-05 09:18:42 -07:00
bogini
702c601369 Merge pull request #7198 from anthropics/inigo/use-workflow-dispatch-for-issue-detective
Update workflow configuration
2025-09-05 00:17:13 -07:00
inigo
542b57b9a4 Update workflow trigger method 2025-09-05 00:16:39 -07:00
bogini
5c2a1e1d2e Merge pull request #7192 from anthropics/inigo/update-issue-notify-repository-dispatch
feat: update issue-notify to use repository_dispatch
2025-09-04 22:30:49 -07:00
inigo
156d9e9e3f feat: update issue-notify to use repository_dispatch
Switch from workflow_dispatch to repository_dispatch for cross-repo
triggering of issue-detective workflow in claude-cli-internal.

Changes:
- Use gh api with repository_dispatch endpoint
- Send issue_url in client_payload
- Support ISSUE_NOTIFY_TOKEN secret for better permissions
- Remove dependency on ISSUE_NOTIFY_WORKFLOW_NAME secret

This enables automatic issue detective analysis when issues are
opened in claude-code repository.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-04 22:24:51 -07:00
bogini
3404b075ec Merge pull request #7180 from anthropics/inigo/issue-templates
Update issue templates
2025-09-04 21:46:57 -07:00
GitHub Actions
72042e95fb chore: Update CHANGELOG.md 2025-09-05 00:56:17 +00:00
inigo
1feaffa747 Update issue templates
Co-Authored-By: Claude <noreply@anthropic.com>
2025-09-04 17:00:14 -07:00
bogini
7127181c79 Merge pull request #7170 from anthropics/inigo/update-issue-notification-workflow
Update issue notification workflow
2025-09-04 14:31:58 -07:00
inigo
e66b150c0e Update issue notification workflow
- Simplify workflow to use built-in GitHub token
- Remove external dependencies
- Improve error handling and logging
2025-09-04 14:28:04 -07:00
Dalton Flanagan
dbff8bea24 Merge pull request #7101 from anthropics/dalton/readme-update-data-usage
Update README.md data usage section
2025-09-03 19:33:09 -07:00
Dalton Flanagan
5a2442227a Update README.md data usage section
Link to the official page for the most up-to-date, accurate information
2025-09-03 19:04:05 -07:00
bogini
f5dd15ac7e Merge pull request #7092 from anthropics/workflow-update-2024
Update workflow configuration
2025-09-03 16:28:04 -07:00
Iñigo Beitia Arévalo
c0a28eede9 Add workflow configuration 2025-09-03 23:25:19 +00:00
GitHub Actions
81f65bea8a chore: Update CHANGELOG.md 2025-08-29 21:24:20 +00:00
Boris Cherny
dc8f77c7ef Merge pull request #5881 from anthropics/boris/iuni
feat: update dedupe backfill script to filter by issue number
2025-08-28 16:26:35 -07:00
Boris Cherny
786259a00c Merge pull request #6387 from anthropics/boris/oauy
Add issue close event trigger to log-issue-events workflow
2025-08-28 16:24:42 -07:00
GitHub Actions
8e679e75f7 chore: Update CHANGELOG.md 2025-08-27 21:53:37 +00:00
ant-kurt
87560460bc Merge pull request #6684 from anthropics/feat/devcontainer-claude-extension-and-vscode-urls
feat(devcontainer): add Claude Code extension and VS Code marketplace URLs
2025-08-27 14:30:12 -07:00
Kurt Carpenter
07e13937b2 feat(devcontainer): add Claude Code extension and VS Code marketplace URLs
- Add anthropic.claude-code extension to default extensions list
- Allow VS Code marketplace URLs in firewall configuration:
  - marketplace.visualstudio.com (marketplace API)
  - vscode.blob.core.windows.net (extension downloads)
  - update.code.visualstudio.com (VS Code updates/metadata)

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-27 14:18:30 -07:00
ant-kurt
55988caadf Merge pull request #5842 from suwakei/fix/ps1
Improving the robustness of prerequisite checks
2025-08-26 17:58:52 -07:00
ant-kurt
8beb9b0c76 Merge pull request #6182 from nozokare/fix-devcontainer-firewall-reset
fix: ensure firewall rules are re-applied on every DevContainer start
2025-08-26 17:28:18 -07:00
ant-kurt
4607d83fa8 Merge pull request #6218 from rquintino/feat(devcontainer)use-firewall-reject-rule-for-immediate-feedback-instead-of-+2min-timeouts
feat(devcontainer): Use firewall reject rule for immediate feedback instead of +2min timeouts
2025-08-26 17:18:05 -07:00
ant-kurt
70d5361861 Merge pull request #6509 from arsenx/deprication-docker-env
chore: Update Dockerfile deprecated ENV usage
2025-08-26 17:04:09 -07:00
GitHub Actions
c792b7d4c7 chore: Update CHANGELOG.md 2025-08-26 22:53:44 +00:00
Arsen Hovhanissian
5f52517c0b chore: Update Dockerfile to standardize environment variable assignments for editor 2025-08-25 12:23:29 +03:00
GitHub Actions
cc09d58e8e chore: Update CHANGELOG.md 2025-08-25 01:58:04 +00:00
Boris Cherny
d820a4dbd7 Add issue close event trigger to log-issue-events workflow
Updates the GitHub workflow to also trigger when issues are closed,
expanding event tracking beyond just issue creation.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-22 18:30:52 -07:00
Ashwin Bhat
87e1022e09 Add stale issue management workflows
- Add stale-issue-manager.yml to check and manage inactive issues daily
- Add remove-autoclose-label.yml to remove autoclose label when users comment
- Issues get warning after 30 days of inactivity
- Issues auto-close after 60 days (30 days after warning)
- User comments reset the stale timer by removing autoclose label

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-22 15:23:07 -07:00
GitHub Actions
eb0e43457b chore: Update CHANGELOG.md 2025-08-22 01:21:59 +00:00
GitHub Actions
b417bfc532 chore: Update CHANGELOG.md 2025-08-22 00:59:57 +00:00
Rui Quintino
2b46e47360 update to icmp-admin-prohibited
makes more sense for the intended usage
2025-08-20 23:41:38 +01:00
Rui Quintino
c58a7da257 add Explicit REJECT
Allows for immediate (~20ms) for any blocked call instead of long timeout
2025-08-20 23:17:44 +01:00
Dickson Tsai
239aeb55ee Merge pull request #6202 from anthropics/dickson/discord
Add Discord to README.md
2025-08-20 11:09:29 -07:00
Dickson Tsai
f4e707fdcc Add Discord to README.md 2025-08-20 11:07:32 -07:00
nozokare
6d79459b16 fix: ensure firewall rules are re-applied on every DevContainer start 2025-08-20 18:37:24 +09:00
GitHub Actions
d2f88820c9 chore: Update CHANGELOG.md 2025-08-19 23:59:26 +00:00
ant-kurt
a3620cdd0b Merge pull request #5872 from backpaper0/remove-cname-on-domain-ip-resolution
fix: improve DNS resolution in firewall script to filter CNAME records
2025-08-19 11:23:35 -07:00
GitHub Actions
da6d2f715e chore: Update CHANGELOG.md 2025-08-18 23:43:38 +00:00
GitHub Actions
f200ab3c5c chore: Update CHANGELOG.md 2025-08-18 23:19:02 +00:00
Boris Cherny
fa29b8f9c0 Merge pull request #6047 from anthropics/boris/adbf
Re-add log-issue-events workflow with security fix
2025-08-18 13:27:03 -07:00
GitHub Actions
2558619a83 chore: Update CHANGELOG.md 2025-08-18 20:06:51 +00:00
Boris Cherny
80ceacaa78 Re-add log-issue-events workflow with security fix
Re-implements the workflow removed in #5919, but with proper security:
- All GitHub event data is now passed via environment variables
- No direct templating of values into shell commands
- Prevents remote code execution through malicious issue titles
- Still escapes quotes in JSON payload for proper formatting

This fixes the security vulnerability while maintaining the functionality
of logging issue creation events to Statsig.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-18 09:56:56 -07:00
Boris Cherny
20ba9a34a5 feat: update dedupe backfill script to filter by issue number
Replace date-based filtering with issue number filtering to only process issues older than #4050. This provides more precise control over which issues are processed for duplicate detection backfill.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-18 09:54:40 -07:00
Chris Lloyd
4e63568abd Merge pull request #5919 from anthropics/chrislloyd/8a49b1
Remove log-issue-events workflow
2025-08-16 07:32:25 -07:00
Chris Lloyd
5d0b81ae41 Remove log-issue-events workflow 2025-08-16 07:26:53 -07:00
GitHub Actions
b1751f2e86 chore: Update CHANGELOG.md 2025-08-16 00:11:04 +00:00
Uragami Taichi
eb48d5e4a8 fix: improve DNS resolution in firewall script to filter CNAME records 2025-08-16 06:38:34 +09:00
Boris Cherny
fc8c10995f Merge pull request #5858 from anthropics/boris/vreg
fix: update auto-close-duplicates workflow permissions to write
2025-08-15 10:57:02 -07:00
Boris Cherny
01fb7af5b3 fix: update auto-close-duplicates workflow permissions to write
Change issues permission from read to write to fix 403 Forbidden
errors when attempting to close duplicate issues.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-15 10:55:50 -07:00
keitosuwahara
10a1f7dab9 Improving the robustness of prerequisite checks 2025-08-15 23:38:40 +09:00
Boris Cherny
afb0fc9156 Merge pull request #5802 from anthropics/boris/jymy
fix: improve duplicate issue number extraction in auto-close script
2025-08-14 16:38:49 -07:00
Boris Cherny
370a97d939 fix: improve duplicate issue number extraction in auto-close script
The extractDuplicateIssueNumber function now handles both #123 format
and full GitHub issue URLs like https://github.com/owner/repo/issues/123.
This fixes the "could not extract duplicate issue number from comment"
errors that were occurring when the script encountered URL-formatted
issue references in duplicate detection comments.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-14 16:37:46 -07:00
GitHub Actions
f54569efd2 chore: Update CHANGELOG.md 2025-08-14 20:13:16 +00:00
GitHub Actions
d8cf5a874c chore: Update CHANGELOG.md 2025-08-14 16:59:55 +00:00
GitHub Actions
e499db6e9e chore: Update CHANGELOG.md 2025-08-11 23:43:35 +00:00
Boris Cherny
5300e12135 Merge pull request #5569 from anthropics/boris/limc
Consolidate GitHub issue closure events
2025-08-11 16:07:18 -07:00
Boris Cherny
4a04589002 Use proper 'duplicate' state_reason for issue closures
- Update auto-close script to use state_reason: 'duplicate' instead of 'not_planned'
- Simplify workflow detection logic to only check for duplicate state_reason
- Remove fallback logic for backward compatibility - use modern GitHub API

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-11 15:44:08 -07:00
Boris Cherny
04cace9ec0 Consolidate GitHub issue closure events to prevent duplicates
- Remove duplicate Statsig logging from auto-close-duplicates.ts
- GitHub workflow now handles all issue closures uniformly
- Add 'duplicate' label to ensure proper detection by workflow
- Prevents double-logging when script closes issues

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-11 15:33:31 -07:00
Boris Cherny
2dbf1e97a0 Merge pull request #5564 from anthropics/boris/lptz
Fix GitHub Actions workflow to properly escape issue titles
2025-08-11 13:49:50 -07:00
Boris Cherny
0662600e93 Fix GitHub Actions workflow to properly escape issue titles
Prevents shell execution of backticks in issue titles by using single quotes and sed escaping.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-11 13:38:40 -07:00
Boris Cherny
27d2c6fdcf Merge pull request #5562 from anthropics/boris/zivm
Add GitHub workflow logging for issue closure events
2025-08-11 13:17:26 -07:00
GitHub Actions
dd53f86325 chore: Update CHANGELOG.md 2025-08-11 20:15:53 +00:00
167 changed files with 31763 additions and 356 deletions

View File

@@ -0,0 +1,150 @@
{
"$schema": "https://anthropic.com/claude-code/marketplace.schema.json",
"name": "claude-code-plugins",
"version": "1.0.0",
"description": "Bundled plugins for Claude Code including Agent SDK development tools, PR review toolkit, and commit workflows",
"owner": {
"name": "Anthropic",
"email": "support@anthropic.com"
},
"plugins": [
{
"name": "agent-sdk-dev",
"description": "Development kit for working with the Claude Agent SDK",
"source": "./plugins/agent-sdk-dev",
"category": "development"
},
{
"name": "claude-opus-4-5-migration",
"description": "Migrate your code and prompts from Sonnet 4.x and Opus 4.1 to Opus 4.5.",
"version": "1.0.0",
"author": {
"name": "William Hu",
"email": "whu@anthropic.com"
},
"source": "./plugins/claude-opus-4-5-migration",
"category": "development"
},
{
"name": "code-review",
"description": "Automated code review for pull requests using multiple specialized agents with confidence-based scoring to filter false positives",
"version": "1.0.0",
"author": {
"name": "Boris Cherny",
"email": "boris@anthropic.com"
},
"source": "./plugins/code-review",
"category": "productivity"
},
{
"name": "commit-commands",
"description": "Commands for git commit workflows including commit, push, and PR creation",
"version": "1.0.0",
"author": {
"name": "Anthropic",
"email": "support@anthropic.com"
},
"source": "./plugins/commit-commands",
"category": "productivity"
},
{
"name": "explanatory-output-style",
"description": "Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)",
"version": "1.0.0",
"author": {
"name": "Dickson Tsai",
"email": "dickson@anthropic.com"
},
"source": "./plugins/explanatory-output-style",
"category": "learning"
},
{
"name": "feature-dev",
"description": "Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review",
"version": "1.0.0",
"author": {
"name": "Siddharth Bidasaria",
"email": "sbidasaria@anthropic.com"
},
"source": "./plugins/feature-dev",
"category": "development"
},
{
"name": "frontend-design",
"description": "Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics.",
"version": "1.0.0",
"author": {
"name": "Prithvi Rajasekaran & Alexander Bricken",
"email": "prithvi@anthropic.com"
},
"source": "./plugins/frontend-design",
"category": "development"
},
{
"name": "hookify",
"description": "Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or from explicit instructions. Define rules via simple markdown files.",
"version": "0.1.0",
"author": {
"name": "Daisy Hollman",
"email": "daisy@anthropic.com"
},
"source": "./plugins/hookify",
"category": "productivity"
},
{
"name": "learning-output-style",
"description": "Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)",
"version": "1.0.0",
"author": {
"name": "Boris Cherny",
"email": "boris@anthropic.com"
},
"source": "./plugins/learning-output-style",
"category": "learning"
},
{
"name": "plugin-dev",
"description": "Comprehensive toolkit for developing Claude Code plugins. Includes 7 expert skills covering hooks, MCP integration, commands, agents, and best practices. AI-assisted plugin creation and validation.",
"version": "0.1.0",
"author": {
"name": "Daisy Hollman",
"email": "daisy@anthropic.com"
},
"source": "./plugins/plugin-dev",
"category": "development"
},
{
"name": "pr-review-toolkit",
"description": "Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification",
"version": "1.0.0",
"author": {
"name": "Anthropic",
"email": "support@anthropic.com"
},
"source": "./plugins/pr-review-toolkit",
"category": "productivity"
},
{
"name": "ralph-wiggum",
"description": "Interactive self-referential AI loops for iterative development. Claude works on the same task repeatedly, seeing its previous work, until completion.",
"version": "1.0.0",
"author": {
"name": "Daisy Hollman",
"email": "daisy@anthropic.com"
},
"source": "./plugins/ralph-wiggum",
"category": "development"
},
{
"name": "security-guidance",
"description": "Security reminder hook that warns about potential security issues when editing files, including command injection, XSS, and unsafe code patterns",
"version": "1.0.0",
"author": {
"name": "David Dworken",
"email": "dworken@anthropic.com"
},
"source": "./plugins/security-guidance",
"category": "security"
}
]
}

View File

@@ -1,5 +1,5 @@
---
allowed-tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh api:*), Bash(gh issue comment:*)
allowed-tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(./scripts/comment-on-duplicates.sh:*)
description: Find duplicate GitHub issues
---
@@ -11,28 +11,13 @@ To do this, follow these steps precisely:
2. Use an agent to view a Github issue, and ask the agent to return a summary of the issue
3. Then, launch 5 parallel agents to search Github for duplicates of this issue, using diverse keywords and search approaches, using the summary from #1
4. Next, feed the results from #1 and #2 into another agent, so that it can filter out false positives, that are likely not actually duplicates of the original issue. If there are no duplicates remaining, do not proceed.
5. Finally, comment back on the issue with a list of up to three duplicate issues (or zero, if there are no likely duplicates)
5. Finally, use the comment script to post duplicates:
```
./scripts/comment-on-duplicates.sh --base-issue <issue-number> --potential-duplicates <dup1> <dup2> <dup3>
```
Notes (be sure to tell this to your agents, too):
- Use `gh` to interact with Github, rather than web fetch
- Do not use other tools, beyond `gh` (eg. don't use other MCP servers, file edit, etc.)
- Do not use other tools, beyond `gh` and the comment script (eg. don't use other MCP servers, file edit, etc.)
- Make a todo list first
- For your comment, follow the following format precisely (assuming for this example that you found 3 suspected duplicates):
---
Found 3 possible duplicate issues:
1. <link to issue>
2. <link to issue>
3. <link to issue>
This issue will be automatically closed as a duplicate in 3 days.
- If your issue is a duplicate, please close it and 👍 the existing issue instead
- To prevent auto-closure, add a comment or 👎 this comment
🤖 Generated with [Claude Code](https://claude.ai/code)
---

View File

@@ -0,0 +1,40 @@
---
allowed-tools: Bash(gh issue list:*), Bash(gh issue view:*), Bash(gh issue edit:*), TodoWrite
description: Triage GitHub issues and label critical ones for oncall
---
You're an oncall triage assistant for GitHub issues. Your task is to identify critical issues that require immediate oncall attention and apply the "oncall" label.
Repository: anthropics/claude-code
Task overview:
1. First, get all open bugs updated in the last 3 days with at least 50 engagements:
```bash
gh issue list --repo anthropics/claude-code --state open --label bug --limit 1000 --json number,title,updatedAt,comments,reactions | jq -r '.[] | select((.updatedAt >= (now - 259200 | strftime("%Y-%m-%dT%H:%M:%SZ"))) and ((.comments | length) + ([.reactions[].content] | length) >= 50)) | "\(.number)"'
```
2. Save the list of issue numbers and create a TODO list with ALL of them. This ensures you process every single one.
3. For each issue in your TODO list:
- Use `gh issue view <number> --repo anthropics/claude-code --json title,body,labels,comments` to get full details
- Read and understand the full issue content and comments to determine actual user impact
- Evaluate: Is this truly blocking users from using Claude Code?
- Consider: "crash", "stuck", "frozen", "hang", "unresponsive", "cannot use", "blocked", "broken"
- Does it prevent core functionality? Can users work around it?
- Be conservative - only flag issues that truly prevent users from getting work done
4. For issues that are truly blocking and don't already have the "oncall" label:
- Use `gh issue edit <number> --repo anthropics/claude-code --add-label "oncall"`
- Mark the issue as complete in your TODO list
5. After processing all issues, provide a summary:
- List each issue number that received the "oncall" label
- Include the issue title and brief reason why it qualified
- If no issues qualified, state that clearly
Important:
- Process ALL issues in your TODO list systematically
- Don't post any comments to issues
- Only add the "oncall" label, never remove it
- Use individual `gh issue view` commands instead of bash for loops to avoid approval prompts

View File

@@ -65,8 +65,8 @@ ENV PATH=$PATH:/usr/local/share/npm-global/bin
ENV SHELL=/bin/zsh
# Set the default editor and visual
ENV EDITOR nano
ENV VISUAL nano
ENV EDITOR=nano
ENV VISUAL=nano
# Default powerline10k theme
ARG ZSH_IN_DOCKER_VERSION=1.2.0

View File

@@ -16,6 +16,7 @@
"customizations": {
"vscode": {
"extensions": [
"anthropic.claude-code",
"dbaeumer.vscode-eslint",
"esbenp.prettier-vscode",
"eamodio.gitlens"
@@ -51,5 +52,6 @@
},
"workspaceMount": "source=${localWorkspaceFolder},target=/workspace,type=bind,consistency=delegated",
"workspaceFolder": "/workspace",
"postCreateCommand": "sudo /usr/local/bin/init-firewall.sh"
"postStartCommand": "sudo /usr/local/bin/init-firewall.sh",
"waitFor": "postStartCommand"
}

View File

@@ -69,9 +69,12 @@ for domain in \
"api.anthropic.com" \
"sentry.io" \
"statsig.anthropic.com" \
"statsig.com"; do
"statsig.com" \
"marketplace.visualstudio.com" \
"vscode.blob.core.windows.net" \
"update.code.visualstudio.com"; do
echo "Resolving $domain..."
ips=$(dig +short A "$domain")
ips=$(dig +noall +answer A "$domain" | awk '$4 == "A" {print $5}')
if [ -z "$ips" ]; then
echo "ERROR: Failed to resolve $domain"
exit 1
@@ -113,6 +116,9 @@ iptables -A OUTPUT -m state --state ESTABLISHED,RELATED -j ACCEPT
# Then allow only specific outbound traffic to allowed domains
iptables -A OUTPUT -m set --match-set allowed-domains dst -j ACCEPT
# Explicitly REJECT all other outbound traffic for immediate feedback
iptables -A OUTPUT -j REJECT --reject-with icmp-admin-prohibited
echo "Firewall configuration complete"
echo "Verifying firewall rules..."
if curl --connect-timeout 5 https://example.com >/dev/null 2>&1; then

View File

@@ -1,34 +0,0 @@
---
name: Bug report
about: Create a report to help us improve
title: '[BUG] '
labels: bug
assignees: ''
---
## Environment
- Platform (select one):
- [ ] Anthropic API
- [ ] AWS Bedrock
- [ ] Google Vertex AI
- [ ] Other: <!-- specify -->
- Claude CLI version: <!-- output of `claude --version` -->
- Operating System: <!-- e.g. macOS 14.3, Windows 11, Ubuntu 22.04 -->
- Terminal: <!-- e.g. iTerm2, Terminal App -->
## Bug Description
<!-- A clear and concise description of the bug -->
## Steps to Reproduce
1. <!-- First step -->
2. <!-- Second step -->
3. <!-- And so on... -->
## Expected Behavior
<!-- What you expected to happen -->
## Actual Behavior
<!-- What actually happened -->
## Additional Context
<!-- Add any other context about the problem here, such as screenshots, logs, etc. -->

188
.github/ISSUE_TEMPLATE/bug_report.yml vendored Normal file
View File

@@ -0,0 +1,188 @@
name: 🐛 Bug Report
description: Report a bug or unexpected behavior in Claude Code
title: "[BUG] "
labels:
- bug
body:
- type: markdown
attributes:
value: |
Thanks for taking the time to report this bug! Please fill out the sections below to help us understand and fix the issue.
Before submitting, please check:
- You're using the [latest version](https://www.npmjs.com/package/@anthropic-ai/claude-code?activeTab=versions) of Claude Code (`claude --version`)
- This issue hasn't already been reported by searching [existing issues](https://github.com/anthropics/claude-code/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug).
- This is a bug, not a feature request or support question
- type: checkboxes
id: preflight
attributes:
label: Preflight Checklist
description: Please confirm before submitting
options:
- label: I have searched [existing issues](https://github.com/anthropics/claude-code/issues?q=is%3Aissue%20state%3Aopen%20label%3Abug) and this hasn't been reported yet
required: true
- label: This is a single bug report (please file separate reports for different bugs)
required: true
- label: I am using the latest version of Claude Code
required: true
- type: textarea
id: actual
attributes:
label: What's Wrong?
description: Describe what's happening that shouldn't be
placeholder: |
When I try to create a Python file, Claude shows an error "EACCES: permission denied" and the file isn't created.
The command fails immediately after accepting the file write permission...
validations:
required: true
- type: textarea
id: expected
attributes:
label: What Should Happen?
description: Describe the expected behavior
placeholder: Claude should create a Python script file successfully without errors
validations:
required: true
- type: textarea
id: error_output
attributes:
label: Error Messages/Logs
description: If you see any error messages, paste them here
placeholder: |
Paste any error output, stack traces, or relevant logs here.
This will be automatically formatted as code.
render: shell
validations:
required: false
- type: textarea
id: reproduction
attributes:
label: Steps to Reproduce
description: |
Please provide clear, numbered steps that anyone can follow to reproduce the issue.
**Important**: Include any necessary code, file contents, or context needed to reproduce the bug.
If the issue involves specific files or code, please create a minimal example.
placeholder: |
1. Create a file `test.py` with this content:
```python
def hello():
print("test")
```
2. Run `claude "add type hints to test.py"`
3. When prompted for file access, accept
4. Error appears: "Unable to parse..."
Note: The bug only happens with Python files containing...
validations:
required: true
- type: dropdown
id: model
attributes:
label: Claude Model
description: Which model were you using? (Run `/model` to check)
options:
- Sonnet (default)
- Opus
- Not sure / Multiple models
- Other
validations:
required: false
- type: dropdown
id: regression
attributes:
label: Is this a regression?
description: Did this work in a previous version?
options:
- "Yes, this worked in a previous version"
- "No, this never worked"
- "I don't know"
validations:
required: true
- type: input
id: working_version
attributes:
label: Last Working Version
description: If this is a regression, which version last worked? This helps expedite a fix.
placeholder: "e.g., 1.0.100"
validations:
required: false
- type: input
id: version
attributes:
label: Claude Code Version
description: Run `claude --version` and paste the output
placeholder: "e.g., 1.0.123 (Claude Code)"
validations:
required: true
- type: dropdown
id: platform
attributes:
label: Platform
description: Which API platform are you using?
options:
- Anthropic API
- AWS Bedrock
- Google Vertex AI
- Other
validations:
required: true
- type: dropdown
id: os
attributes:
label: Operating System
options:
- macOS
- Windows
- Ubuntu/Debian Linux
- Other Linux
- Other
validations:
required: true
- type: dropdown
id: terminal
attributes:
label: Terminal/Shell
description: Which terminal are you using?
options:
- Terminal.app (macOS)
- Warp
- Cursor
- iTerm2
- IntelliJ IDEA terminal
- VS Code integrated terminal
- PyCharm terminal
- Windows Terminal
- PowerShell
- WSL (Windows Subsystem for Linux)
- Xterm
- Non-interactive/CI environment
- Other
validations:
required: true
- type: textarea
id: additional
attributes:
label: Additional Information
description: |
Anything else that might help us understand the issue?
- Screenshots (drag and drop images here)
- Configuration files
- Related files or code
- Links to repositories demonstrating the issue
placeholder: Any additional context, screenshots, or information...
validations:
required: false

14
.github/ISSUE_TEMPLATE/config.yml vendored Normal file
View File

@@ -0,0 +1,14 @@
blank_issues_enabled: false
contact_links:
- name: 💬 Discord Community
url: https://anthropic.com/discord
about: Get help, ask questions, and chat with other Claude Code users
- name: 📖 Documentation
url: https://docs.claude.com/en/docs/claude-code
about: Read the official documentation and guides
- name: 🎓 Getting Started Guide
url: https://docs.claude.com/en/docs/claude-code/quickstart
about: New to Claude Code? Start here
- name: 🔧 Troubleshooting Guide
url: https://docs.claude.com/en/docs/claude-code/troubleshooting
about: Common issues and how to fix them

117
.github/ISSUE_TEMPLATE/documentation.yml vendored Normal file
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@@ -0,0 +1,117 @@
name: 📚 Documentation Issue
description: Report missing, unclear, or incorrect documentation
title: "[DOCS] "
labels:
- documentation
body:
- type: markdown
attributes:
value: |
## Help us improve our documentation!
Good documentation is crucial for a great developer experience. Please let us know what's missing or confusing.
- type: dropdown
id: doc_type
attributes:
label: Documentation Type
description: What kind of documentation issue is this?
options:
- Missing documentation (feature not documented)
- Unclear/confusing documentation
- Incorrect/outdated documentation
- Typo or formatting issue
- Missing code examples
- Broken links
- Other
validations:
required: true
- type: input
id: location
attributes:
label: Documentation Location
description: Where did you encounter this issue? Provide a URL if possible
placeholder: "e.g., https://docs.anthropic.com/en/docs/claude-code/getting-started"
validations:
required: false
- type: input
id: section
attributes:
label: Section/Topic
description: Which specific section or topic needs improvement?
placeholder: "e.g., MCP Server Configuration section"
validations:
required: true
- type: textarea
id: current
attributes:
label: Current Documentation
description: |
What does the documentation currently say?
Quote the specific text if applicable.
placeholder: |
The docs currently say:
"To configure MCP servers, add them to your configuration..."
But it doesn't explain...
validations:
required: false
- type: textarea
id: issue
attributes:
label: What's Wrong or Missing?
description: Explain what's incorrect, unclear, or missing
placeholder: |
The documentation doesn't explain how to:
- Configure multiple MCP servers
- Handle authentication
- Debug connection issues
The example code doesn't work because...
validations:
required: true
- type: textarea
id: suggested
attributes:
label: Suggested Improvement
description: How should the documentation be improved? Provide suggested text if possible
placeholder: |
The documentation should include:
1. A complete example showing...
2. Explanation of common errors like...
3. Step-by-step guide for...
Suggested text:
"To configure multiple MCP servers, create an array in your settings..."
validations:
required: true
- type: dropdown
id: impact
attributes:
label: Impact
description: How much does this documentation issue affect users?
options:
- High - Prevents users from using a feature
- Medium - Makes feature difficult to understand
- Low - Minor confusion or inconvenience
validations:
required: true
- type: textarea
id: additional
attributes:
label: Additional Context
description: |
- Screenshots showing the issue
- Links to related documentation
- Examples from other projects that do this well
placeholder: Any additional information that would help...
validations:
required: false

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@@ -0,0 +1,132 @@
name: ✨ Feature Request
description: Suggest a new feature or enhancement for Claude Code
title: "[FEATURE] "
labels:
- enhancement
body:
- type: markdown
attributes:
value: |
## Thanks for suggesting a feature!
We love hearing ideas from our community. Please help us understand your use case by filling out the sections below.
Before submitting, please check if this feature has already been requested.
- type: checkboxes
id: preflight
attributes:
label: Preflight Checklist
options:
- label: I have searched [existing requests](https://github.com/anthropics/claude-code/issues?q=is%3Aissue%20label%3Aenhancement) and this feature hasn't been requested yet
required: true
- label: This is a single feature request (not multiple features)
required: true
- type: textarea
id: problem
attributes:
label: Problem Statement
description: |
What problem are you trying to solve? Why do you need this feature?
Focus on the problem, not the solution. Help us understand your workflow.
placeholder: |
I often need to work with multiple projects simultaneously, but Claude Code doesn't support...
When I'm debugging code, I find it difficult to...
The current workflow requires me to manually...
validations:
required: true
- type: textarea
id: solution
attributes:
label: Proposed Solution
description: |
How would you like this to work? Describe the ideal user experience.
Be specific about how you'd interact with this feature.
placeholder: |
I'd like to be able to run `claude --workspace project1,project2` to...
There should be a command or setting that allows...
The interface should show...
validations:
required: true
- type: textarea
id: alternatives
attributes:
label: Alternative Solutions
description: |
What alternatives have you considered or tried?
Are there workarounds you're currently using?
placeholder: |
I've tried using multiple terminal windows but...
Currently I work around this by...
Other tools solve this by...
validations:
required: false
- type: dropdown
id: priority
attributes:
label: Priority
description: How important is this feature to your workflow?
options:
- Critical - Blocking my work
- High - Significant impact on productivity
- Medium - Would be very helpful
- Low - Nice to have
validations:
required: true
- type: dropdown
id: category
attributes:
label: Feature Category
description: What area does this feature relate to?
options:
- CLI commands and flags
- Interactive mode (TUI)
- File operations
- API and model interactions
- MCP server integration
- Performance and speed
- Configuration and settings
- Developer tools/SDK
- Documentation
- Other
validations:
required: true
- type: textarea
id: use_case
attributes:
label: Use Case Example
description: |
Provide a concrete, real-world example of when you'd use this feature.
Walk us through a scenario step-by-step.
placeholder: |
Example scenario:
1. I'm working on a React app with a Node.js backend
2. I need to make changes to both frontend and backend
3. With this feature, I could...
4. This would save me time because...
validations:
required: false
- type: textarea
id: additional
attributes:
label: Additional Context
description: |
- Screenshots or mockups of the proposed feature
- Links to similar features in other tools
- Technical considerations or constraints
- Any other relevant information
placeholder: Add any other context, mockups, or examples here...
validations:
required: false

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name: 🤖 Model Behavior Issue
description: Report unexpected Claude model behavior, incorrect actions, or permission violations
title: "[MODEL] "
labels:
- model
body:
- type: markdown
attributes:
value: |
## Report Unexpected Model Behavior
Use this template when Claude does something unexpected, makes unwanted changes, or behaves inconsistently with your instructions.
**This is for:** Unexpected actions, file modifications outside scope, ignoring instructions, making assumptions
**NOT for:** Crashes, API errors, or installation issues (use Bug Report instead)
- type: checkboxes
id: preflight
attributes:
label: Preflight Checklist
description: Please confirm before submitting
options:
- label: I have searched [existing issues](https://github.com/anthropics/claude-code/issues?q=is%3Aissue%20state%3Aopen%20label%3Amodel) for similar behavior reports
required: true
- label: This report does NOT contain sensitive information (API keys, passwords, etc.)
required: true
- type: dropdown
id: behavior_type
attributes:
label: Type of Behavior Issue
description: What category best describes the unexpected behavior?
options:
- Claude modified files I didn't ask it to modify
- Claude accessed files outside the working directory
- Claude ignored my instructions or configuration
- Claude reverted/undid previous changes without asking
- Claude made incorrect assumptions about my project
- Claude refused a reasonable request
- Claude's behavior changed between sessions
- Subagent behaved unexpectedly
- Other unexpected behavior
validations:
required: true
- type: textarea
id: what_you_asked
attributes:
label: What You Asked Claude to Do
description: Provide the exact prompt or command you gave
placeholder: |
I asked: "Update the README.md file to add installation instructions"
Or I ran: `claude "fix the bug in auth.js"`
validations:
required: true
- type: textarea
id: what_claude_did
attributes:
label: What Claude Actually Did
description: Describe step-by-step what Claude did instead
placeholder: |
1. Claude read README.md
2. Instead of updating it, Claude deleted the entire file
3. Created a new README from scratch with different content
4. Also modified package.json without being asked
5. Changed .gitignore file
validations:
required: true
- type: textarea
id: expected_behavior
attributes:
label: Expected Behavior
description: What should Claude have done?
placeholder: |
Claude should have:
1. Read the existing README.md
2. Added an "Installation" section
3. Only modified that single file
4. Not touched any other files
validations:
required: true
- type: textarea
id: files_affected
attributes:
label: Files Affected
description: |
List all files that were accessed or modified (even if you didn't expect them to be)
placeholder: |
Modified:
- README.md (deleted and recreated)
- package.json (version bumped - not requested)
- .gitignore (added entries - not requested)
Read (unexpectedly):
- /Users/me/.ssh/config
- ../../../parent-directory/secrets.env
render: shell
validations:
required: false
- type: dropdown
id: permission_mode
attributes:
label: Permission Mode
description: What permission settings were active?
options:
- Accept Edits was ON (auto-accepting changes)
- Accept Edits was OFF (manual approval required)
- I don't know / Not sure
validations:
required: true
- type: dropdown
id: reproducible
attributes:
label: Can You Reproduce This?
description: Does this happen consistently?
options:
- Yes, every time with the same prompt
- Sometimes (intermittent)
- No, only happened once
- Haven't tried to reproduce
validations:
required: true
- type: textarea
id: reproduction_steps
attributes:
label: Steps to Reproduce
description: If reproducible, provide minimal steps
placeholder: |
1. Create a new directory with a simple README.md
2. Ask Claude Code to "improve the README"
3. Claude will delete and recreate the file instead of editing
validations:
required: false
- type: dropdown
id: model
attributes:
label: Claude Model
description: Which model were you using? (Run `/model` to check)
options:
- Sonnet
- Opus
- Haiku
- Not sure
- Other
validations:
required: true
- type: textarea
id: conversation_log
attributes:
label: Relevant Conversation
description: |
Include relevant parts of Claude's responses, especially where it explains what it's doing
placeholder: |
Claude said: "I'll help you update the README. Let me first delete the old one and create a fresh version..."
[Then proceeded to delete without asking for confirmation]
render: markdown
validations:
required: false
- type: dropdown
id: impact
attributes:
label: Impact
description: How severe was the impact of this behavior?
options:
- Critical - Data loss or corrupted project
- High - Significant unwanted changes
- Medium - Extra work to undo changes
- Low - Minor inconvenience
validations:
required: true
- type: input
id: version
attributes:
label: Claude Code Version
description: Run `claude --version` and paste the output
placeholder: "e.g., 1.0.123 (Claude Code)"
validations:
required: true
- type: dropdown
id: platform
attributes:
label: Platform
description: Which API platform are you using?
options:
- Anthropic API
- AWS Bedrock
- Google Vertex AI
- Other
validations:
required: true
- type: textarea
id: additional
attributes:
label: Additional Context
description: |
- Any patterns you've noticed
- Similar behavior in other sessions
- Specific file types or project structures that trigger this
- Screenshots if relevant
placeholder: |
This seems to happen more often with:
- Python projects
- When there are multiple similar files
- After long conversations
validations:
required: false

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@@ -11,7 +11,7 @@ jobs:
timeout-minutes: 10
permissions:
contents: read
issues: read
issues: write
steps:
- name: Checkout repository

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@@ -17,18 +17,22 @@ jobs:
permissions:
contents: read
issues: write
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Run Claude Code slash command
uses: anthropics/claude-code-base-action@beta
uses: anthropics/claude-code-action@v1
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
allowed_non_write_users: "*"
prompt: "/dedupe ${{ github.repository }}/issues/${{ github.event.issue.number || inputs.issue_number }}"
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
claude_env: |
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
claude_args: "--model claude-sonnet-4-5-20250929"
- name: Log duplicate comment event to Statsig
if: always()

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@@ -11,65 +11,12 @@ jobs:
permissions:
contents: read
issues: write
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Create triage prompt
run: |
mkdir -p /tmp/claude-prompts
cat > /tmp/claude-prompts/triage-prompt.txt << 'EOF'
You're an issue triage assistant for GitHub issues. Your task is to analyze the issue and select appropriate labels from the provided list.
IMPORTANT: Don't post any comments or messages to the issue. Your only action should be to apply labels.
Issue Information:
- REPO: ${{ github.repository }}
- ISSUE_NUMBER: ${{ github.event.issue.number }}
TASK OVERVIEW:
1. First, fetch the list of labels available in this repository by running: `gh label list`. Run exactly this command with nothing else.
2. Next, use the GitHub tools to get context about the issue:
- You have access to these tools:
- mcp__github__get_issue: Use this to retrieve the current issue's details including title, description, and existing labels
- mcp__github__get_issue_comments: Use this to read any discussion or additional context provided in the comments
- mcp__github__update_issue: Use this to apply labels to the issue (do not use this for commenting)
- mcp__github__search_issues: Use this to find similar issues that might provide context for proper categorization and to identify potential duplicate issues
- mcp__github__list_issues: Use this to understand patterns in how other issues are labeled
- Start by using mcp__github__get_issue to get the issue details
3. Analyze the issue content, considering:
- The issue title and description
- The type of issue (bug report, feature request, question, etc.)
- Technical areas mentioned
- Severity or priority indicators
- User impact
- Components affected
4. Select appropriate labels from the available labels list provided above:
- Choose labels that accurately reflect the issue's nature
- Be specific but comprehensive
- Select priority labels if you can determine urgency (high-priority, med-priority, or low-priority)
- Consider platform labels (android, ios) if applicable
- If you find similar issues using mcp__github__search_issues, consider using a "duplicate" label if appropriate. Only do so if the issue is a duplicate of another OPEN issue.
5. Apply the selected labels:
- Use mcp__github__update_issue to apply your selected labels
- DO NOT post any comments explaining your decision
- DO NOT communicate directly with users
- If no labels are clearly applicable, do not apply any labels
IMPORTANT GUIDELINES:
- Be thorough in your analysis
- Only select labels from the provided list above
- DO NOT post any comments to the issue
- Your ONLY action should be to apply labels using mcp__github__update_issue
- It's okay to not add any labels if none are clearly applicable
EOF
- name: Setup GitHub MCP Server
run: |
mkdir -p /tmp/mcp-config
@@ -95,12 +42,64 @@ jobs:
EOF
- name: Run Claude Code for Issue Triage
uses: anthropics/claude-code-base-action@beta
timeout-minutes: 5
uses: anthropics/claude-code-action@v1
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
prompt_file: /tmp/claude-prompts/triage-prompt.txt
allowed_tools: "Bash(gh label list),mcp__github__get_issue,mcp__github__get_issue_comments,mcp__github__update_issue,mcp__github__search_issues,mcp__github__list_issues"
timeout_minutes: "5"
github_token: ${{ secrets.GITHUB_TOKEN }}
allowed_non_write_users: "*"
prompt: |
You're an issue triage assistant for GitHub issues. Your task is to analyze the issue and select appropriate labels from the provided list.
IMPORTANT: Don't post any comments or messages to the issue. Your only action should be to apply labels.
Issue Information:
- REPO: ${{ github.repository }}
- ISSUE_NUMBER: ${{ github.event.issue.number }}
TASK OVERVIEW:
1. First, fetch the list of labels available in this repository by running: `gh label list`. Run exactly this command with nothing else.
2. Next, use the GitHub tools to get context about the issue:
- You have access to these tools:
- mcp__github__get_issue: Use this to retrieve the current issue's details including title, description, and existing labels
- mcp__github__get_issue_comments: Use this to read any discussion or additional context provided in the comments
- mcp__github__update_issue: Use this to apply labels to the issue (do not use this for commenting)
- mcp__github__search_issues: Use this to find similar issues that might provide context for proper categorization and to identify potential duplicate issues
- mcp__github__list_issues: Use this to understand patterns in how other issues are labeled
- Start by using mcp__github__get_issue to get the issue details
3. Analyze the issue content, considering:
- The issue title and description
- The type of issue (bug report, feature request, question, etc.)
- Technical areas mentioned
- Severity or priority indicators
- User impact
- Components affected
4. Select appropriate labels from the available labels list provided above:
- Choose labels that accurately reflect the issue's nature
- Be specific but comprehensive
- Select priority labels if you can determine urgency (high-priority, med-priority, or low-priority)
- Consider platform labels (android, ios) if applicable
- If you find similar issues using mcp__github__search_issues, consider using a "duplicate" label if appropriate. Only do so if the issue is a duplicate of another OPEN issue.
5. Apply the selected labels:
- Use mcp__github__update_issue to apply your selected labels
- DO NOT post any comments explaining your decision
- DO NOT communicate directly with users
- If no labels are clearly applicable, do not apply any labels
IMPORTANT GUIDELINES:
- Be thorough in your analysis
- Only select labels from the provided list above
- DO NOT post any comments to the issue
- Your ONLY action should be to apply labels using mcp__github__update_issue
- It's okay to not add any labels if none are clearly applicable
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
mcp_config: /tmp/mcp-config/mcp-servers.json
claude_env: |
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
claude_args: |
--model claude-sonnet-4-5-20250929
--mcp-config /tmp/mcp-config/mcp-servers.json
--allowedTools "Bash(gh label list),mcp__github__get_issue,mcp__github__get_issue_comments,mcp__github__update_issue,mcp__github__search_issues,mcp__github__list_issues"

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@@ -31,7 +31,8 @@ jobs:
- name: Run Claude Code
id: claude
uses: anthropics/claude-code-action@beta
uses: anthropics/claude-code-action@v1
with:
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
claude_args: "--model claude-sonnet-4-5-20250929"

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@@ -0,0 +1,28 @@
name: Issue Opened Dispatch
on:
issues:
types: [opened]
permissions:
issues: read
actions: write
jobs:
notify:
runs-on: ubuntu-latest
timeout-minutes: 1
steps:
- name: Process new issue
env:
ISSUE_URL: ${{ github.event.issue.html_url }}
ISSUE_NUMBER: ${{ github.event.issue.number }}
ISSUE_TITLE: ${{ github.event.issue.title }}
TARGET_REPO: ${{ secrets.ISSUE_OPENED_DISPATCH_TARGET_REPO }}
GH_TOKEN: ${{ secrets.ISSUE_OPENED_DISPATCH_TOKEN }}
run: |
gh api repos/${TARGET_REPO}/dispatches \
-f event_type=issue_opened \
-f client_payload[issue_url]="${ISSUE_URL}" || {
exit 0
}

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@@ -1,180 +1,40 @@
name: Log GitHub Issue Events
name: Log Issue Events to Statsig
on:
issues:
types: [opened, closed]
jobs:
log-issue-created:
if: github.event.action == 'opened'
log-to-statsig:
runs-on: ubuntu-latest
timeout-minutes: 5
permissions:
contents: read
issues: read
steps:
- name: Log issue creation to Statsig
env:
STATSIG_API_KEY: ${{ secrets.STATSIG_API_KEY }}
ISSUE_NUMBER: ${{ github.event.issue.number }}
REPO: ${{ github.repository }}
ISSUE_TITLE: ${{ github.event.issue.title }}
AUTHOR: ${{ github.event.issue.user.login }}
CREATED_AT: ${{ github.event.issue.created_at }}
run: |
ISSUE_NUMBER=${{ github.event.issue.number }}
REPO=${{ github.repository }}
ISSUE_TITLE="${{ github.event.issue.title }}"
AUTHOR="${{ github.event.issue.user.login }}"
CREATED_AT="${{ github.event.issue.created_at }}"
# All values are now safely passed via environment variables
# No direct templating in the shell script to prevent injection attacks
if [ -z "$STATSIG_API_KEY" ]; then
echo "STATSIG_API_KEY not found, skipping Statsig logging"
exit 0
fi
# Prepare the event payload
EVENT_PAYLOAD=$(jq -n \
--arg issue_number "$ISSUE_NUMBER" \
--arg repo "$REPO" \
--arg title "$ISSUE_TITLE" \
--arg author "$AUTHOR" \
--arg created_at "$CREATED_AT" \
'{
events: [{
eventName: "github_issue_created",
value: 1,
metadata: {
repository: $repo,
issue_number: ($issue_number | tonumber),
issue_title: $title,
issue_author: $author,
created_at: $created_at
},
time: (now | floor | tostring)
}]
}')
# Send to Statsig API
echo "Logging issue creation to Statsig for issue #${ISSUE_NUMBER}"
RESPONSE=$(curl -s -w "\n%{http_code}" -X POST https://events.statsigapi.net/v1/log_event \
curl -X POST "https://events.statsigapi.net/v1/log_event" \
-H "Content-Type: application/json" \
-H "STATSIG-API-KEY: ${STATSIG_API_KEY}" \
-d "$EVENT_PAYLOAD")
HTTP_CODE=$(echo "$RESPONSE" | tail -n1)
BODY=$(echo "$RESPONSE" | head -n-1)
if [ "$HTTP_CODE" -eq 200 ] || [ "$HTTP_CODE" -eq 202 ]; then
echo "Successfully logged issue creation for issue #${ISSUE_NUMBER}"
else
echo "Failed to log issue creation for issue #${ISSUE_NUMBER}. HTTP ${HTTP_CODE}: ${BODY}"
fi
log-issue-closed:
if: github.event.action == 'closed'
runs-on: ubuntu-latest
timeout-minutes: 5
permissions:
contents: read
issues: read
steps:
- name: Log issue closure to Statsig
env:
STATSIG_API_KEY: ${{ secrets.STATSIG_API_KEY }}
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
run: |
ISSUE_NUMBER=${{ github.event.issue.number }}
REPO=${{ github.repository }}
ISSUE_TITLE="${{ github.event.issue.title }}"
CLOSED_BY="${{ github.event.issue.closed_by.login }}"
CLOSED_AT="${{ github.event.issue.closed_at }}"
STATE_REASON="${{ github.event.issue.state_reason }}"
if [ -z "$STATSIG_API_KEY" ]; then
echo "STATSIG_API_KEY not found, skipping Statsig logging"
exit 0
fi
# Get additional issue data via GitHub API
echo "Fetching additional issue data for #${ISSUE_NUMBER}"
ISSUE_DATA=$(curl -s -H "Authorization: token ${GITHUB_TOKEN}" \
-H "Accept: application/vnd.github.v3+json" \
"https://api.github.com/repos/${REPO}/issues/${ISSUE_NUMBER}")
COMMENTS_COUNT=$(echo "$ISSUE_DATA" | jq -r '.comments')
# Get reactions data
REACTIONS_DATA=$(curl -s -H "Authorization: token ${GITHUB_TOKEN}" \
-H "Accept: application/vnd.github.v3+json" \
"https://api.github.com/repos/${REPO}/issues/${ISSUE_NUMBER}/reactions")
REACTIONS_COUNT=$(echo "$REACTIONS_DATA" | jq '. | length')
# Check if issue was closed automatically (by checking if closed_by is a bot)
CLOSED_AUTOMATICALLY="false"
if [[ "$CLOSED_BY" == *"[bot]"* ]]; then
CLOSED_AUTOMATICALLY="true"
fi
# Check if closed as duplicate by looking for duplicate label or state_reason
CLOSED_AS_DUPLICATE="false"
if [ "$STATE_REASON" = "not_planned" ]; then
# Check if issue has duplicate label
LABELS=$(echo "$ISSUE_DATA" | jq -r '.labels[] | select(.name | test("duplicate"; "i")) | .name')
if [ -n "$LABELS" ]; then
CLOSED_AS_DUPLICATE="true"
fi
fi
# Prepare the event payload
EVENT_PAYLOAD=$(jq -n \
--arg issue_number "$ISSUE_NUMBER" \
--arg repo "$REPO" \
--arg title "$ISSUE_TITLE" \
--arg closed_by "$CLOSED_BY" \
--arg closed_at "$CLOSED_AT" \
--arg state_reason "$STATE_REASON" \
--arg comments_count "$COMMENTS_COUNT" \
--arg reactions_count "$REACTIONS_COUNT" \
--arg closed_automatically "$CLOSED_AUTOMATICALLY" \
--arg closed_as_duplicate "$CLOSED_AS_DUPLICATE" \
'{
events: [{
eventName: "github_issue_closed",
value: 1,
metadata: {
repository: $repo,
issue_number: ($issue_number | tonumber),
issue_title: $title,
closed_by: $closed_by,
closed_at: $closed_at,
state_reason: $state_reason,
comments_count: ($comments_count | tonumber),
reactions_count: ($reactions_count | tonumber),
closed_automatically: ($closed_automatically | test("true")),
closed_as_duplicate: ($closed_as_duplicate | test("true"))
-H "statsig-api-key: $STATSIG_API_KEY" \
-d '{
"events": [{
"eventName": "github_issue_created",
"metadata": {
"issue_number": "'"$ISSUE_NUMBER"'",
"repository": "'"$REPO"'",
"title": "'"$(echo "$ISSUE_TITLE" | sed "s/\"/\\\\\"/g")"'",
"author": "'"$AUTHOR"'",
"created_at": "'"$CREATED_AT"'"
},
time: (now | floor | tostring)
"time": '"$(date +%s)000"'
}]
}')
# Send to Statsig API
echo "Logging issue closure to Statsig for issue #${ISSUE_NUMBER}"
RESPONSE=$(curl -s -w "\n%{http_code}" -X POST https://events.statsigapi.net/v1/log_event \
-H "Content-Type: application/json" \
-H "STATSIG-API-KEY: ${STATSIG_API_KEY}" \
-d "$EVENT_PAYLOAD")
HTTP_CODE=$(echo "$RESPONSE" | tail -n1)
BODY=$(echo "$RESPONSE" | head -n-1)
if [ "$HTTP_CODE" -eq 200 ] || [ "$HTTP_CODE" -eq 202 ]; then
echo "Successfully logged issue closure for issue #${ISSUE_NUMBER}"
echo "Closed by: $CLOSED_BY"
echo "Comments: $COMMENTS_COUNT"
echo "Reactions: $REACTIONS_COUNT"
echo "Closed automatically: $CLOSED_AUTOMATICALLY"
echo "Closed as duplicate: $CLOSED_AS_DUPLICATE"
else
echo "Failed to log issue closure for issue #${ISSUE_NUMBER}. HTTP ${HTTP_CODE}: ${BODY}"
fi
}'

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name: Oncall Issue Triage
description: Automatically identify and label critical blocking issues requiring oncall attention
on:
push:
branches:
- add-oncall-triage-workflow # Temporary: for testing only
schedule:
# Run every 6 hours
- cron: '0 */6 * * *'
workflow_dispatch: # Allow manual trigger
jobs:
oncall-triage:
runs-on: ubuntu-latest
timeout-minutes: 15
permissions:
contents: read
issues: write
id-token: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Setup GitHub MCP Server
run: |
mkdir -p /tmp/mcp-config
cat > /tmp/mcp-config/mcp-servers.json << 'EOF'
{
"mcpServers": {
"github": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GITHUB_PERSONAL_ACCESS_TOKEN",
"ghcr.io/github/github-mcp-server:sha-7aced2b"
],
"env": {
"GITHUB_PERSONAL_ACCESS_TOKEN": "${{ secrets.GITHUB_TOKEN }}"
}
}
}
}
EOF
- name: Run Claude Code for Oncall Triage
timeout-minutes: 10
uses: anthropics/claude-code-action@v1
env:
GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
allowed_non_write_users: "*"
prompt: |
You're an oncall triage assistant for GitHub issues. Your task is to identify critical issues that require immediate oncall attention.
Important: Don't post any comments or messages to the issues. Your only action should be to apply the "oncall" label to qualifying issues.
Repository: ${{ github.repository }}
Task overview:
1. Fetch all open issues updated in the last 3 days:
- Use mcp__github__list_issues with:
- state="open"
- first=5 (fetch only 5 issues per page)
- orderBy="UPDATED_AT"
- direction="DESC"
- This will give you the most recently updated issues first
- For each page of results, check the updatedAt timestamp of each issue
- Add issues updated within the last 3 days (72 hours) to your TODO list as you go
- Keep paginating using the 'after' parameter until you encounter issues older than 3 days
- Once you hit issues older than 3 days, you can stop fetching (no need to fetch all open issues)
2. Build your TODO list incrementally as you fetch:
- As you fetch each page, immediately add qualifying issues to your TODO list
- One TODO item per issue number (e.g., "Evaluate issue #123")
- This allows you to start processing while still fetching more pages
3. For each issue in your TODO list:
- Use mcp__github__get_issue to read the issue details (title, body, labels)
- Use mcp__github__get_issue_comments to read all comments
- Evaluate whether this issue needs the oncall label:
a) Is it a bug? (has "bug" label or describes bug behavior)
b) Does it have at least 50 engagements? (count comments + reactions)
c) Is it truly blocking? Read and understand the full content to determine:
- Does this prevent core functionality from working?
- Can users work around it?
- Consider severity indicators: "crash", "stuck", "frozen", "hang", "unresponsive", "cannot use", "blocked", "broken"
- Be conservative - only flag issues that truly prevent users from getting work done
4. For issues that meet all criteria and do not already have the "oncall" label:
- Use mcp__github__update_issue to add the "oncall" label
- Do not post any comments
- Do not remove any existing labels
- Do not remove the "oncall" label from issues that already have it
Important guidelines:
- Use the TODO list to track your progress through ALL candidate issues
- Process issues efficiently - don't read every single issue upfront, work through your TODO list systematically
- Be conservative in your assessment - only flag truly critical blocking issues
- Do not post any comments to issues
- Your only action should be to add the "oncall" label using mcp__github__update_issue
- Mark each issue as complete in your TODO list as you process it
7. After processing all issues in your TODO list, provide a summary of your actions:
- Total number of issues processed (candidate issues evaluated)
- Number of issues that received the "oncall" label
- For each issue that got the label: list issue number, title, and brief reason why it qualified
- Close calls: List any issues that almost qualified but didn't quite meet the criteria (e.g., borderline blocking, had workarounds)
- If no issues qualified, state that clearly
- Format the summary clearly for easy reading
anthropic_api_key: ${{ secrets.ANTHROPIC_API_KEY }}
claude_args: |
--mcp-config /tmp/mcp-config/mcp-servers.json
--allowedTools "mcp__github__list_issues,mcp__github__get_issue,mcp__github__get_issue_comments,mcp__github__update_issue"

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name: "Remove Autoclose Label on Activity"
on:
issue_comment:
types: [created]
permissions:
issues: write
jobs:
remove-autoclose:
# Only run if the issue has the autoclose label
if: |
github.event.issue.state == 'open' &&
contains(github.event.issue.labels.*.name, 'autoclose') &&
github.event.comment.user.login != 'github-actions[bot]'
runs-on: ubuntu-latest
steps:
- name: Remove autoclose label
uses: actions/github-script@v7
with:
script: |
console.log(`Removing autoclose label from issue #${context.issue.number} due to new comment from ${context.payload.comment.user.login}`);
try {
// Remove the autoclose label
await github.rest.issues.removeLabel({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.issue.number,
name: 'autoclose'
});
console.log(`Successfully removed autoclose label from issue #${context.issue.number}`);
} catch (error) {
// If the label was already removed or doesn't exist, that's fine
if (error.status === 404) {
console.log(`Autoclose label was already removed from issue #${context.issue.number}`);
} else {
throw error;
}
}

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name: "Manage Stale Issues"
on:
schedule:
# 2am Pacific = 9am UTC (10am UTC during DST)
- cron: "0 10 * * *"
workflow_dispatch:
permissions:
issues: write
concurrency:
group: stale-issue-manager
jobs:
manage-stale-issues:
runs-on: ubuntu-latest
steps:
- name: Manage stale issues
uses: actions/github-script@v7
with:
script: |
const oneMonthAgo = new Date();
oneMonthAgo.setDate(oneMonthAgo.getDate() - 30);
const twoMonthsAgo = new Date();
twoMonthsAgo.setDate(twoMonthsAgo.getDate() - 60);
const warningComment = `This issue has been inactive for 30 days. If the issue is still occurring, please comment to let us know. Otherwise, this issue will be automatically closed in 30 days for housekeeping purposes.`;
const closingComment = `This issue has been automatically closed due to 60 days of inactivity. If you're still experiencing this issue, please open a new issue with updated information.`;
let page = 1;
let hasMore = true;
let totalWarned = 0;
let totalClosed = 0;
let totalLabeled = 0;
while (hasMore) {
// Get open issues sorted by last updated (oldest first)
const { data: issues } = await github.rest.issues.listForRepo({
owner: context.repo.owner,
repo: context.repo.repo,
state: 'open',
sort: 'updated',
direction: 'asc',
per_page: 100,
page: page
});
if (issues.length === 0) {
hasMore = false;
break;
}
for (const issue of issues) {
// Skip if already locked
if (issue.locked) continue;
// Skip pull requests
if (issue.pull_request) continue;
// Check if updated more recently than 30 days ago
const updatedAt = new Date(issue.updated_at);
if (updatedAt > oneMonthAgo) {
// Since issues are sorted by updated_at ascending,
// once we hit a recent issue, all remaining will be recent too
hasMore = false;
break;
}
// Check if issue has autoclose label
const hasAutocloseLabel = issue.labels.some(label =>
typeof label === 'object' && label.name === 'autoclose'
);
try {
// Get comments to check for existing warning
const { data: comments } = await github.rest.issues.listComments({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: issue.number,
per_page: 100
});
// Find the last comment from github-actions bot
const botComments = comments.filter(comment =>
comment.user && comment.user.login === 'github-actions[bot]' &&
comment.body && comment.body.includes('inactive for 30 days')
);
const lastBotComment = botComments[botComments.length - 1];
if (lastBotComment) {
// Check if the bot comment is older than 30 days (total 60 days of inactivity)
const botCommentDate = new Date(lastBotComment.created_at);
if (botCommentDate < oneMonthAgo) {
// Close the issue - it's been stale for 60+ days
console.log(`Closing issue #${issue.number} (stale for 60+ days): ${issue.title}`);
// Post closing comment
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: issue.number,
body: closingComment
});
// Close the issue
await github.rest.issues.update({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: issue.number,
state: 'closed',
state_reason: 'not_planned'
});
totalClosed++;
}
// If bot comment exists but is recent, issue already has warning
} else if (updatedAt < oneMonthAgo) {
// No bot warning yet, issue is 30+ days old
console.log(`Warning issue #${issue.number} (stale for 30+ days): ${issue.title}`);
// Post warning comment
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: issue.number,
body: warningComment
});
totalWarned++;
// Add autoclose label if not present
if (!hasAutocloseLabel) {
await github.rest.issues.addLabels({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: issue.number,
labels: ['autoclose']
});
totalLabeled++;
}
}
} catch (error) {
console.error(`Failed to process issue #${issue.number}: ${error.message}`);
}
}
page++;
}
console.log(`Summary:`);
console.log(`- Issues warned (30 days stale): ${totalWarned}`);
console.log(`- Issues labeled with autoclose: ${totalLabeled}`);
console.log(`- Issues closed (60 days stale): ${totalClosed}`);

2
.gitignore vendored Normal file
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.DS_Store

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@@ -1,5 +1,937 @@
# Changelog
## 2.1.17
- Fixed crashes on processors without AVX instruction support
## 2.1.16
- Added new task management system, including new capabilities like dependency tracking
- [VSCode] Added native plugin management support
- [VSCode] Added ability for OAuth users to browse and resume remote Claude sessions from the Sessions dialog
- Fixed out-of-memory crashes when resuming sessions with heavy subagent usage
- Fixed an issue where the "context remaining" warning was not hidden after running `/compact`
- Fixed session titles on the resume screen not respecting the user's language setting
- [IDE] Fixed a race condition on Windows where the Claude Code sidebar view container would not appear on start
## 2.1.15
- Added deprecation notification for npm installations - run `claude install` or see https://docs.anthropic.com/en/docs/claude-code/getting-started for more options
- Improved UI rendering performance with React Compiler
- Fixed the "Context left until auto-compact" warning not disappearing after running `/compact`
- Fixed MCP stdio server timeout not killing child process, which could cause UI freezes
## 2.1.14
- Added history-based autocomplete in bash mode (`!`) - type a partial command and press Tab to complete from your bash command history
- Added search to installed plugins list - type to filter by name or description
- Added support for pinning plugins to specific git commit SHAs, allowing marketplace entries to install exact versions
- Fixed a regression where the context window blocking limit was calculated too aggressively, blocking users at ~65% context usage instead of the intended ~98%
- Fixed memory issues that could cause crashes when running parallel subagents
- Fixed memory leak in long-running sessions where stream resources were not cleaned up after shell commands completed
- Fixed `@` symbol incorrectly triggering file autocomplete suggestions in bash mode
- Fixed `@`-mention menu folder click behavior to navigate into directories instead of selecting them
- Fixed `/feedback` command generating invalid GitHub issue URLs when description is very long
- Fixed `/context` command to show the same token count and percentage as the status line in verbose mode
- Fixed an issue where `/config`, `/context`, `/model`, and `/todos` command overlays could close unexpectedly
- Fixed slash command autocomplete selecting wrong command when typing similar commands (e.g., `/context` vs `/compact`)
- Fixed inconsistent back navigation in plugin marketplace when only one marketplace is configured
- Fixed iTerm2 progress bar not clearing properly on exit, preventing lingering indicators and bell sounds
- Improved backspace to delete pasted text as a single token instead of one character at a time
- [VSCode] Added `/usage` command to display current plan usage
## 2.1.12
- Fixed message rendering bug
## 2.1.11
- Fixed excessive MCP connection requests for HTTP/SSE transports
## 2.1.10
- Added new `Setup` hook event that can be triggered via `--init`, `--init-only`, or `--maintenance` CLI flags for repository setup and maintenance operations
- Added keyboard shortcut 'c' to copy OAuth URL when browser doesn't open automatically during login
- Fixed a crash when running bash commands containing heredocs with JavaScript template literals like `${index + 1}`
- Improved startup to capture keystrokes typed before the REPL is fully ready
- Improved file suggestions to show as removable attachments instead of inserting text when accepted
- [VSCode] Added install count display to plugin listings
- [VSCode] Added trust warning when installing plugins
## 2.1.9
- Added `auto:N` syntax for configuring the MCP tool search auto-enable threshold, where N is the context window percentage (0-100)
- Added `plansDirectory` setting to customize where plan files are stored
- Added external editor support (Ctrl+G) in AskUserQuestion "Other" input field
- Added session URL attribution to commits and PRs created from web sessions
- Added support for `PreToolUse` hooks to return `additionalContext` to the model
- Added `${CLAUDE_SESSION_ID}` string substitution for skills to access the current session ID
- Fixed long sessions with parallel tool calls failing with an API error about orphan tool_result blocks
- Fixed MCP server reconnection hanging when cached connection promise never resolves
- Fixed Ctrl+Z suspend not working in terminals using Kitty keyboard protocol (Ghostty, iTerm2, kitty, WezTerm)
## 2.1.7
- Added `showTurnDuration` setting to hide turn duration messages (e.g., "Cooked for 1m 6s")
- Added ability to provide feedback when accepting permission prompts
- Added inline display of agent's final response in task notifications, making it easier to see results without reading the full transcript file
- Fixed security vulnerability where wildcard permission rules could match compound commands containing shell operators
- Fixed false "file modified" errors on Windows when cloud sync tools, antivirus scanners, or Git touch file timestamps without changing content
- Fixed orphaned tool_result errors when sibling tools fail during streaming execution
- Fixed context window blocking limit being calculated using the full context window instead of the effective context window (which reserves space for max output tokens)
- Fixed spinner briefly flashing when running local slash commands like `/model` or `/theme`
- Fixed terminal title animation jitter by using fixed-width braille characters
- Fixed plugins with git submodules not being fully initialized when installed
- Fixed bash commands failing on Windows when temp directory paths contained characters like `t` or `n` that were misinterpreted as escape sequences
- Improved typing responsiveness by reducing memory allocation overhead in terminal rendering
- Enabled MCP tool search auto mode by default for all users. When MCP tool descriptions exceed 10% of the context window, they are automatically deferred and discovered via the MCPSearch tool instead of being loaded upfront. This reduces context usage for users with many MCP tools configured. Users can disable this by adding `MCPSearch` to `disallowedTools` in their settings.
- Changed OAuth and API Console URLs from console.anthropic.com to platform.claude.com
- [VSCode] Fixed `claudeProcessWrapper` setting passing the wrapper path instead of the Claude binary path
## 2.1.6
- Added search functionality to `/config` command for quickly filtering settings
- Added Updates section to `/doctor` showing auto-update channel and available npm versions (stable/latest)
- Added date range filtering to `/stats` command - press `r` to cycle between Last 7 days, Last 30 days, and All time
- Added automatic discovery of skills from nested `.claude/skills` directories when working with files in subdirectories
- Added `context_window.used_percentage` and `context_window.remaining_percentage` fields to status line input for easier context window display
- Added an error display when the editor fails during Ctrl+G
- Fixed permission bypass via shell line continuation that could allow blocked commands to execute
- Fixed false "File has been unexpectedly modified" errors when file watchers touch files without changing content
- Fixed text styling (bold, colors) getting progressively misaligned in multi-line responses
- Fixed the feedback panel closing unexpectedly when typing 'n' in the description field
- Fixed rate limit warning appearing at low usage after weekly reset (now requires 70% usage)
- Fixed rate limit options menu incorrectly auto-opening when resuming a previous session
- Fixed numpad keys outputting escape sequences instead of characters in Kitty keyboard protocol terminals
- Fixed Option+Return not inserting newlines in Kitty keyboard protocol terminals
- Fixed corrupted config backup files accumulating in the home directory (now only one backup is created per config file)
- Fixed `mcp list` and `mcp get` commands leaving orphaned MCP server processes
- Fixed visual artifacts in ink2 mode when nodes become hidden via `display:none`
- Improved the external CLAUDE.md imports approval dialog to show which files are being imported and from where
- Improved the `/tasks` dialog to go directly to task details when there's only one background task running
- Improved @ autocomplete with icons for different suggestion types and single-line formatting
- Updated "Help improve Claude" setting fetch to refresh OAuth and retry when it fails due to a stale OAuth token
- Changed task notification display to cap at 3 lines with overflow summary when multiple background tasks complete simultaneously
- Changed terminal title to "Claude Code" on startup for better window identification
- Removed ability to @-mention MCP servers to enable/disable - use `/mcp enable <name>` instead
- [VSCode] Fixed usage indicator not updating after manual compact
## 2.1.5
- Added `CLAUDE_CODE_TMPDIR` environment variable to override the temp directory used for internal temp files, useful for environments with custom temp directory requirements
## 2.1.4
- Added `CLAUDE_CODE_DISABLE_BACKGROUND_TASKS` environment variable to disable all background task functionality including auto-backgrounding and the Ctrl+B shortcut
- Fixed "Help improve Claude" setting fetch to refresh OAuth and retry when it fails due to a stale OAuth token
## 2.1.3
- Merged slash commands and skills, simplifying the mental model with no change in behavior
- Added release channel (`stable` or `latest`) toggle to `/config`
- Added detection and warnings for unreachable permission rules, with warnings in `/doctor` and after saving rules that include the source of each rule and actionable fix guidance
- Fixed plan files persisting across `/clear` commands, now ensuring a fresh plan file is used after clearing a conversation
- Fixed false skill duplicate detection on filesystems with large inodes (e.g., ExFAT) by using 64-bit precision for inode values
- Fixed mismatch between background task count in status bar and items shown in tasks dialog
- Fixed sub-agents using the wrong model during conversation compaction
- Fixed web search in sub-agents using incorrect model
- Fixed trust dialog acceptance when running from the home directory not enabling trust-requiring features like hooks during the session
- Improved terminal rendering stability by preventing uncontrolled writes from corrupting cursor state
- Improved slash command suggestion readability by truncating long descriptions to 2 lines
- Changed tool hook execution timeout from 60 seconds to 10 minutes
- [VSCode] Added clickable destination selector for permission requests, allowing you to choose where settings are saved (this project, all projects, shared with team, or session only)
## 2.1.2
- Added source path metadata to images dragged onto the terminal, helping Claude understand where images originated
- Added clickable hyperlinks for file paths in tool output in terminals that support OSC 8 (like iTerm)
- Added support for Windows Package Manager (winget) installations with automatic detection and update instructions
- Added Shift+Tab keyboard shortcut in plan mode to quickly select "auto-accept edits" option
- Added `FORCE_AUTOUPDATE_PLUGINS` environment variable to allow plugin autoupdate even when the main auto-updater is disabled
- Added `agent_type` to SessionStart hook input, populated if `--agent` is specified
- Fixed a command injection vulnerability in bash command processing where malformed input could execute arbitrary commands
- Fixed a memory leak where tree-sitter parse trees were not being freed, causing WASM memory to grow unbounded over long sessions
- Fixed binary files (images, PDFs, etc.) being accidentally included in memory when using `@include` directives in CLAUDE.md files
- Fixed updates incorrectly claiming another installation is in progress
- Fixed crash when socket files exist in watched directories (defense-in-depth for EOPNOTSUPP errors)
- Fixed remote session URL and teleport being broken when using `/tasks` command
- Fixed MCP tool names being exposed in analytics events by sanitizing user-specific server configurations
- Improved Option-as-Meta hint on macOS to show terminal-specific instructions for native CSIu terminals like iTerm2, Kitty, and WezTerm
- Improved error message when pasting images over SSH to suggest using `scp` instead of the unhelpful clipboard shortcut hint
- Improved permission explainer to not flag routine dev workflows (git fetch/rebase, npm install, tests, PRs) as medium risk
- Changed large bash command outputs to be saved to disk instead of truncated, allowing Claude to read the full content
- Changed large tool outputs to be persisted to disk instead of truncated, providing full output access via file references
- Changed `/plugins` installed tab to unify plugins and MCPs with scope-based grouping
- Deprecated Windows managed settings path `C:\ProgramData\ClaudeCode\managed-settings.json` - administrators should migrate to `C:\Program Files\ClaudeCode\managed-settings.json`
- [SDK] Changed minimum zod peer dependency to ^4.0.0
- [VSCode] Fixed usage display not updating after manual compact
## 2.1.0
- Added automatic skill hot-reload - skills created or modified in `~/.claude/skills` or `.claude/skills` are now immediately available without restarting the session
- Added support for running skills and slash commands in a forked sub-agent context using `context: fork` in skill frontmatter
- Added support for `agent` field in skills to specify agent type for execution
- Added `language` setting to configure Claude's response language (e.g., language: "japanese")
- Changed Shift+Enter to work out of the box in iTerm2, WezTerm, Ghostty, and Kitty without modifying terminal configs
- Added `respectGitignore` support in `settings.json` for per-project control over @-mention file picker behavior
- Added `IS_DEMO` environment variable to hide email and organization from the UI, useful for streaming or recording sessions
- Fixed security issue where sensitive data (OAuth tokens, API keys, passwords) could be exposed in debug logs
- Fixed files and skills not being properly discovered when resuming sessions with `-c` or `--resume`
- Fixed pasted content being lost when replaying prompts from history using up arrow or Ctrl+R search
- Fixed Esc key with queued prompts to only move them to input without canceling the running task
- Reduced permission prompts for complex bash commands
- Fixed command search to prioritize exact and prefix matches on command names over fuzzy matches in descriptions
- Fixed PreToolUse hooks to allow `updatedInput` when returning `ask` permission decision, enabling hooks to act as middleware while still requesting user consent
- Fixed plugin path resolution for file-based marketplace sources
- Fixed LSP tool being incorrectly enabled when no LSP servers were configured
- Fixed background tasks failing with "git repository not found" error for repositories with dots in their names
- Fixed Claude in Chrome support for WSL environments
- Fixed Windows native installer silently failing when executable creation fails
- Improved CLI help output to display options and subcommands in alphabetical order for easier navigation
- Added wildcard pattern matching for Bash tool permissions using `*` at any position in rules (e.g., `Bash(npm *)`, `Bash(* install)`, `Bash(git * main)`)
- Added unified Ctrl+B backgrounding for both bash commands and agents - pressing Ctrl+B now backgrounds all running foreground tasks simultaneously
- Added support for MCP `list_changed` notifications, allowing MCP servers to dynamically update their available tools, prompts, and resources without requiring reconnection
- Added `/teleport` and `/remote-env` slash commands for claude.ai subscribers, allowing them to resume and configure remote sessions
- Added support for disabling specific agents using `Task(AgentName)` syntax in settings.json permissions or the `--disallowedTools` CLI flag
- Added hooks support to agent frontmatter, allowing agents to define PreToolUse, PostToolUse, and Stop hooks scoped to the agent's lifecycle
- Added hooks support for skill and slash command frontmatter
- Added new Vim motions: `;` and `,` to repeat f/F/t/T motions, `y` operator for yank with `yy`/`Y`, `p`/`P` for paste, text objects (`iw`, `aw`, `iW`, `aW`, `i"`, `a"`, `i'`, `a'`, `i(`, `a(`, `i[`, `a[`, `i{`, `a{`), `>>` and `<<` for indent/dedent, and `J` to join lines
- Added `/plan` command shortcut to enable plan mode directly from the prompt
- Added slash command autocomplete support when `/` appears anywhere in input, not just at the beginning
- Added `--tools` flag support in interactive mode to restrict which built-in tools Claude can use during interactive sessions
- Added `CLAUDE_CODE_FILE_READ_MAX_OUTPUT_TOKENS` environment variable to override the default file read token limit
- Added support for `once: true` config for hooks
- Added support for YAML-style lists in frontmatter `allowed-tools` field for cleaner skill declarations
- Added support for prompt and agent hook types from plugins (previously only command hooks were supported)
- Added Cmd+V support for image paste in iTerm2 (maps to Ctrl+V)
- Added left/right arrow key navigation for cycling through tabs in dialogs
- Added real-time thinking block display in Ctrl+O transcript mode
- Added filepath to full output in background bash task details dialog
- Added Skills as a separate category in the context visualization
- Fixed OAuth token refresh not triggering when server reports token expired but local expiration check disagrees
- Fixed session persistence getting stuck after transient server errors by recovering from 409 conflicts when the entry was actually stored
- Fixed session resume failures caused by orphaned tool results during concurrent tool execution
- Fixed a race condition where stale OAuth tokens could be read from the keychain cache during concurrent token refresh attempts
- Fixed AWS Bedrock subagents not inheriting EU/APAC cross-region inference model configuration, causing 403 errors when IAM permissions are scoped to specific regions
- Fixed API context overflow when background tasks produce large output by truncating to 30K chars with file path reference
- Fixed a hang when reading FIFO files by skipping symlink resolution for special file types
- Fixed terminal keyboard mode not being reset on exit in Ghostty, iTerm2, Kitty, and WezTerm
- Fixed Alt+B and Alt+F (word navigation) not working in iTerm2, Ghostty, Kitty, and WezTerm
- Fixed `${CLAUDE_PLUGIN_ROOT}` not being substituted in plugin `allowed-tools` frontmatter, which caused tools to incorrectly require approval
- Fixed files created by the Write tool using hardcoded 0o600 permissions instead of respecting the system umask
- Fixed commands with `$()` command substitution failing with parse errors
- Fixed multi-line bash commands with backslash continuations being incorrectly split and flagged for permissions
- Fixed bash command prefix extraction to correctly identify subcommands after global options (e.g., `git -C /path log` now correctly matches `Bash(git log:*)` rules)
- Fixed slash commands passed as CLI arguments (e.g., `claude /context`) not being executed properly
- Fixed pressing Enter after Tab-completing a slash command selecting a different command instead of submitting the completed one
- Fixed slash command argument hint flickering and inconsistent display when typing commands with arguments
- Fixed Claude sometimes redundantly invoking the Skill tool when running slash commands directly
- Fixed skill token estimates in `/context` to accurately reflect frontmatter-only loading
- Fixed subagents sometimes not inheriting the parent's model by default
- Fixed model picker showing incorrect selection for Bedrock/Vertex users using `--model haiku`
- Fixed duplicate Bash commands appearing in permission request option labels
- Fixed noisy output when background tasks complete - now shows clean completion message instead of raw output
- Fixed background task completion notifications to appear proactively with bullet point
- Fixed forked slash commands showing "AbortError" instead of "Interrupted" message when cancelled
- Fixed cursor disappearing after dismissing permission dialogs
- Fixed `/hooks` menu selecting wrong hook type when scrolling to a different option
- Fixed images in queued prompts showing as "[object Object]" when pressing Esc to cancel
- Fixed images being silently dropped when queueing messages while backgrounding a task
- Fixed large pasted images failing with "Image was too large" error
- Fixed extra blank lines in multiline prompts containing CJK characters (Japanese, Chinese, Korean)
- Fixed ultrathink keyword highlighting being applied to wrong characters when user prompt text wraps to multiple lines
- Fixed collapsed "Reading X files…" indicator incorrectly switching to past tense when thinking blocks appear mid-stream
- Fixed Bash read commands (like `ls` and `cat`) not being counted in collapsed read/search groups, causing groups to incorrectly show "Read 0 files"
- Fixed spinner token counter to properly accumulate tokens from subagents during execution
- Fixed memory leak in git diff parsing where sliced strings retained large parent strings
- Fixed race condition where LSP tool could return "no server available" during startup
- Fixed feedback submission hanging indefinitely when network requests timeout
- Fixed search mode in plugin discovery and log selector views exiting when pressing up arrow
- Fixed hook success message showing trailing colon when hook has no output
- Multiple optimizations to improve startup performance
- Improved terminal rendering performance when using native installer or Bun, especially for text with emoji, ANSI codes, and Unicode characters
- Improved performance when reading Jupyter notebooks with many cells
- Improved reliability for piped input like `cat refactor.md | claude`
- Improved reliability for AskQuestion tool
- Improved sed in-place edit commands to render as file edits with diff preview
- Improved Claude to automatically continue when response is cut off due to output token limit, instead of showing an error message
- Improved compaction reliability
- Improved subagents (Task tool) to continue working after permission denial, allowing them to try alternative approaches
- Improved skills to show progress while executing, displaying tool uses as they happen
- Improved skills from `/skills/` directories to be visible in the slash command menu by default (opt-out with `user-invocable: false` in frontmatter)
- Improved skill suggestions to prioritize recently and frequently used skills
- Improved spinner feedback when waiting for the first response token
- Improved token count display in spinner to include tokens from background agents
- Improved incremental output for async agents to give the main thread more control and visibility
- Improved permission prompt UX with Tab hint moved to footer, cleaner Yes/No input labels with contextual placeholders
- Improved the Claude in Chrome notification with shortened help text and persistent display until dismissed
- Improved macOS screenshot paste reliability with TIFF format support
- Improved `/stats` output
- Updated Atlassian MCP integration to use a more reliable default configuration (streamable HTTP)
- Changed "Interrupted" message color from red to grey for a less alarming appearance
- Removed permission prompt when entering plan mode - users can now enter plan mode without approval
- Removed underline styling from image reference links
- [SDK] Changed minimum zod peer dependency to ^4.0.0
- [VSCode] Added currently selected model name to the context menu
- [VSCode] Added descriptive labels on auto-accept permission button (e.g., "Yes, allow npm for this project" instead of "Yes, and don't ask again")
- [VSCode] Fixed paragraph breaks not rendering in markdown content
- [VSCode] Fixed scrolling in the extension inadvertently scrolling the parent iframe
- [Windows] Fixed issue with improper rendering
## 2.0.76
- Fixed issue with macOS code-sign warning when using Claude in Chrome integration
## 2.0.75
- Minor bugfixes
## 2.0.74
- Added LSP (Language Server Protocol) tool for code intelligence features like go-to-definition, find references, and hover documentation
- Added `/terminal-setup` support for Kitty, Alacritty, Zed, and Warp terminals
- Added ctrl+t shortcut in `/theme` to toggle syntax highlighting on/off
- Added syntax highlighting info to theme picker
- Added guidance for macOS users when Alt shortcuts fail due to terminal configuration
- Fixed skill `allowed-tools` not being applied to tools invoked by the skill
- Fixed Opus 4.5 tip incorrectly showing when user was already using Opus
- Fixed a potential crash when syntax highlighting isn't initialized correctly
- Fixed visual bug in `/plugins discover` where list selection indicator showed while search box was focused
- Fixed macOS keyboard shortcuts to display 'opt' instead of 'alt'
- Improved `/context` command visualization with grouped skills and agents by source, slash commands, and sorted token count
- [Windows] Fixed issue with improper rendering
- [VSCode] Added gift tag pictogram for year-end promotion message
## 2.0.73
- Added clickable `[Image #N]` links that open attached images in the default viewer
- Added alt-y yank-pop to cycle through kill ring history after ctrl-y yank
- Added search filtering to the plugin discover screen (type to filter by name, description, or marketplace)
- Added support for custom session IDs when forking sessions with `--session-id` combined with `--resume` or `--continue` and `--fork-session`
- Fixed slow input history cycling and race condition that could overwrite text after message submission
- Improved `/theme` command to open theme picker directly
- Improved theme picker UI
- Improved search UX across resume session, permissions, and plugins screens with a unified SearchBox component
- [VSCode] Added tab icon badges showing pending permissions (blue) and unread completions (orange)
## 2.0.72
- Added Claude in Chrome (Beta) feature that works with the Chrome extension (https://claude.ai/chrome) to let you control your browser directly from Claude Code
- Reduced terminal flickering
- Added scannable QR code to mobile app tip for quick app downloads
- Added loading indicator when resuming conversations for better feedback
- Fixed `/context` command not respecting custom system prompts in non-interactive mode
- Fixed order of consecutive Ctrl+K lines when pasting with Ctrl+Y
- Improved @ mention file suggestion speed (~3x faster in git repositories)
- Improved file suggestion performance in repos with `.ignore` or `.rgignore` files
- Improved settings validation errors to be more prominent
- Changed thinking toggle from Tab to Alt+T to avoid accidental triggers
## 2.0.71
- Added /config toggle to enable/disable prompt suggestions
- Added `/settings` as an alias for the `/config` command
- Fixed @ file reference suggestions incorrectly triggering when cursor is in the middle of a path
- Fixed MCP servers from `.mcp.json` not loading when using `--dangerously-skip-permissions`
- Fixed permission rules incorrectly rejecting valid bash commands containing shell glob patterns (e.g., `ls *.txt`, `for f in *.png`)
- Bedrock: Environment variable `ANTHROPIC_BEDROCK_BASE_URL` is now respected for token counting and inference profile listing
- New syntax highlighting engine for native build
## 2.0.70
- Added Enter key to accept and submit prompt suggestions immediately (tab still accepts for editing)
- Added wildcard syntax `mcp__server__*` for MCP tool permissions to allow or deny all tools from a server
- Added auto-update toggle for plugin marketplaces, allowing per-marketplace control over automatic updates
- Added `current_usage` field to status line input, enabling accurate context window percentage calculations
- Fixed input being cleared when processing queued commands while the user was typing
- Fixed prompt suggestions replacing typed input when pressing Tab
- Fixed diff view not updating when terminal is resized
- Improved memory usage by 3x for large conversations
- Improved resolution of stats screenshots copied to clipboard (Ctrl+S) for crisper images
- Removed # shortcut for quick memory entry (tell Claude to edit your CLAUDE.md instead)
- Fix thinking mode toggle in /config not persisting correctly
- Improve UI for file creation permission dialog
## 2.0.69
- Minor bugfixes
## 2.0.68
- Fixed IME (Input Method Editor) support for languages like Chinese, Japanese, and Korean by correctly positioning the composition window at the cursor
- Fixed a bug where disallowed MCP tools were visible to the model
- Fixed an issue where steering messages could be lost while a subagent is working
- Fixed Option+Arrow word navigation treating entire CJK (Chinese, Japanese, Korean) text sequences as a single word instead of navigating by word boundaries
- Improved plan mode exit UX: show simplified yes/no dialog when exiting with empty or missing plan instead of throwing an error
- Add support for enterprise managed settings. Contact your Anthropic account team to enable this feature.
## 2.0.67
- Thinking mode is now enabled by default for Opus 4.5
- Thinking mode configuration has moved to /config
- Added search functionality to `/permissions` command with `/` keyboard shortcut for filtering rules by tool name
- Show reason why autoupdater is disabled in `/doctor`
- Fixed false "Another process is currently updating Claude" error when running `claude update` while another instance is already on the latest version
- Fixed MCP servers from `.mcp.json` being stuck in pending state when running in non-interactive mode (`-p` flag or piped input)
- Fixed scroll position resetting after deleting a permission rule in `/permissions`
- Fixed word deletion (opt+delete) and word navigation (opt+arrow) not working correctly with non-Latin text such as Cyrillic, Greek, Arabic, Hebrew, Thai, and Chinese
- Fixed `claude install --force` not bypassing stale lock files
- Fixed consecutive @~/ file references in CLAUDE.md being incorrectly parsed due to markdown strikethrough interference
- Windows: Fixed plugin MCP servers failing due to colons in log directory paths
## 2.0.65
- Added ability to switch models while writing a prompt using alt+p (linux, windows), option+p (macos).
- Added context window information to status line input
- Added `fileSuggestion` setting for custom `@` file search commands
- Added `CLAUDE_CODE_SHELL` environment variable to override automatic shell detection (useful when login shell differs from actual working shell)
- Fixed prompt not being saved to history when aborting a query with Escape
- Fixed Read tool image handling to identify format from bytes instead of file extension
## 2.0.64
- Made auto-compacting instant
- Agents and bash commands can run asynchronously and send messages to wake up the main agent
- /stats now provides users with interesting CC stats, such as favorite model, usage graph, usage streak
- Added named session support: use `/rename` to name sessions, `/resume <name>` in REPL or `claude --resume <name>` from the terminal to resume them
- Added support for .claude/rules/`. See https://code.claude.com/docs/en/memory for details.
- Added image dimension metadata when images are resized, enabling accurate coordinate mappings for large images
- Fixed auto-loading .env when using native installer
- Fixed `--system-prompt` being ignored when using `--continue` or `--resume` flags
- Improved `/resume` screen with grouped forked sessions and keyboard shortcuts for preview (P) and rename (R)
- VSCode: Added copy-to-clipboard button on code blocks and bash tool inputs
- VSCode: Fixed extension not working on Windows ARM64 by falling back to x64 binary via emulation
- Bedrock: Improve efficiency of token counting
- Bedrock: Add support for `aws login` AWS Management Console credentials
- Unshipped AgentOutputTool and BashOutputTool, in favor of a new unified TaskOutputTool
## 2.0.62
- Added "(Recommended)" indicator for multiple-choice questions, with the recommended option moved to the top of the list
- Added `attribution` setting to customize commit and PR bylines (deprecates `includeCoAuthoredBy`)
- Fixed duplicate slash commands appearing when ~/.claude is symlinked to a project directory
- Fixed slash command selection not working when multiple commands share the same name
- Fixed an issue where skill files inside symlinked skill directories could become circular symlinks
- Fixed running versions getting removed because lock file incorrectly going stale
- Fixed IDE diff tab not closing when rejecting file changes
## 2.0.61
- Reverted VSCode support for multiple terminal clients due to responsiveness issues.
## 2.0.60
- Added background agent support. Agents run in the background while you work
- Added --disable-slash-commands CLI flag to disable all slash commands
- Added model name to "Co-Authored-By" commit messages
- Enabled "/mcp enable [server-name]" or "/mcp disable [server-name]" to quickly toggle all servers
- Updated Fetch to skip summarization for pre-approved websites
- VSCode: Added support for multiple terminal clients connecting to the IDE server simultaneously
## 2.0.59
- Added --agent CLI flag to override the agent setting for the current session
- Added `agent` setting to configure main thread with a specific agent's system prompt, tool restrictions, and model
- VS Code: Fixed .claude.json config file being read from incorrect location
## 2.0.58
- Pro users now have access to Opus 4.5 as part of their subscription!
- Fixed timer duration showing "11m 60s" instead of "12m 0s"
- Windows: Managed settings now prefer `C:\Program Files\ClaudeCode` if it exists. Support for `C:\ProgramData\ClaudeCode` will be removed in a future version.
## 2.0.57
- Added feedback input when rejecting plans, allowing users to tell Claude what to change
- VSCode: Added streaming message support for real-time response display
## 2.0.56
- Added setting to enable/disable terminal progress bar (OSC 9;4)
- VSCode Extension: Added support for VS Code's secondary sidebar (VS Code 1.97+), allowing Claude Code to be displayed in the right sidebar while keeping the file explorer on the left. Requires setting sidebar as Preferred Location in the config.
## 2.0.55
- Fixed proxy DNS resolution being forced on by default. Now opt-in via `CLAUDE_CODE_PROXY_RESOLVES_HOSTS=true` environment variable
- Fixed keyboard navigation becoming unresponsive when holding down arrow keys in memory location selector
- Improved AskUserQuestion tool to auto-submit single-select questions on the last question, eliminating the extra review screen for simple question flows
- Improved fuzzy matching for `@` file suggestions with faster, more accurate results
## 2.0.54
- Hooks: Enable PermissionRequest hooks to process 'always allow' suggestions and apply permission updates
- Fix issue with excessive iTerm notifications
## 2.0.52
- Fixed duplicate message display when starting Claude with a command line argument
- Fixed `/usage` command progress bars to fill up as usage increases (instead of showing remaining percentage)
- Fixed image pasting not working on Linux systems running Wayland (now falls back to wl-paste when xclip is unavailable)
- Permit some uses of `$!` in bash commands
## 2.0.51
- Added Opus 4.5! https://www.anthropic.com/news/claude-opus-4-5
- Introducing Claude Code for Desktop: https://claude.com/download
- To give you room to try out our new model, we've updated usage limits for Claude Code users. See the Claude Opus 4.5 blog for full details
- Pro users can now purchase extra usage for access to Opus 4.5 in Claude Code
- Plan Mode now builds more precise plans and executes more thoroughly
- Usage limit notifications now easier to understand
- Switched `/usage` back to "% used"
- Fixed handling of thinking errors
- Fixed performance regression
## 2.0.50
- Fixed bug preventing calling MCP tools that have nested references in their input schemas
- Silenced a noisy but harmless error during upgrades
- Improved ultrathink text display
- Improved clarity of 5-hour session limit warning message
## 2.0.49
- Added readline-style ctrl-y for pasting deleted text
- Improved clarity of usage limit warning message
- Fixed handling of subagent permissions
## 2.0.47
- Improved error messages and validation for `claude --teleport`
- Improved error handling in `/usage`
- Fixed race condition with history entry not getting logged at exit
- Fixed Vertex AI configuration not being applied from `settings.json`
## 2.0.46
- Fixed image files being reported with incorrect media type when format cannot be detected from metadata
## 2.0.45
- Added support for Microsoft Foundry! See https://code.claude.com/docs/en/azure-ai-foundry
- Added `PermissionRequest` hook to automatically approve or deny tool permission requests with custom logic
- Send background tasks to Claude Code on the web by starting a message with `&`
## 2.0.43
- Added `permissionMode` field for custom agents
- Added `tool_use_id` field to `PreToolUseHookInput` and `PostToolUseHookInput` types
- Added skills frontmatter field to declare skills to auto-load for subagents
- Added the `SubagentStart` hook event
- Fixed nested `CLAUDE.md` files not loading when @-mentioning files
- Fixed duplicate rendering of some messages in the UI
- Fixed some visual flickers
- Fixed NotebookEdit tool inserting cells at incorrect positions when cell IDs matched the pattern `cell-N`
## 2.0.42
- Added `agent_id` and `agent_transcript_path` fields to `SubagentStop` hooks.
## 2.0.41
- Added `model` parameter to prompt-based stop hooks, allowing users to specify a custom model for hook evaluation
- Fixed slash commands from user settings being loaded twice, which could cause rendering issues
- Fixed incorrect labeling of user settings vs project settings in command descriptions
- Fixed crash when plugin command hooks timeout during execution
- Fixed: Bedrock users no longer see duplicate Opus entries in the /model picker when using `--model haiku`
- Fixed broken security documentation links in trust dialogs and onboarding
- Fixed issue where pressing ESC to close the diff modal would also interrupt the model
- ctrl-r history search landing on a slash command no longer cancels the search
- SDK: Support custom timeouts for hooks
- Allow more safe git commands to run without approval
- Plugins: Added support for sharing and installing output styles
- Teleporting a session from web will automatically set the upstream branch
## 2.0.37
- Fixed how idleness is computed for notifications
- Hooks: Added matcher values for Notification hook events
- Output Styles: Added `keep-coding-instructions` option to frontmatter
## 2.0.36
- Fixed: DISABLE_AUTOUPDATER environment variable now properly disables package manager update notifications
- Fixed queued messages being incorrectly executed as bash commands
- Fixed input being lost when typing while a queued message is processed
## 2.0.35
- Improve fuzzy search results when searching commands
- Improved VS Code extension to respect `chat.fontSize` and `chat.fontFamily` settings throughout the entire UI, and apply font changes immediately without requiring reload
- Added `CLAUDE_CODE_EXIT_AFTER_STOP_DELAY` environment variable to automatically exit SDK mode after a specified idle duration, useful for automated workflows and scripts
- Migrated `ignorePatterns` from project config to deny permissions in the localSettings.
- Fixed menu navigation getting stuck on items with empty string or other falsy values (e.g., in the `/hooks` menu)
## 2.0.34
- VSCode Extension: Added setting to configure the initial permission mode for new conversations
- Improved file path suggestion performance with native Rust-based fuzzy finder
- Fixed infinite token refresh loop that caused MCP servers with OAuth (e.g., Slack) to hang during connection
- Fixed memory crash when reading or writing large files (especially base64-encoded images)
## 2.0.33
- Native binary installs now launch quicker.
- Fixed `claude doctor` incorrectly detecting Homebrew vs npm-global installations by properly resolving symlinks
- Fixed `claude mcp serve` exposing tools with incompatible outputSchemas
## 2.0.32
- Un-deprecate output styles based on community feedback
- Added `companyAnnouncements` setting for displaying announcements on startup
- Fixed hook progress messages not updating correctly during PostToolUse hook execution
## 2.0.31
- Windows: native installation uses shift+tab as shortcut for mode switching, instead of alt+m
- Vertex: add support for Web Search on supported models
- VSCode: Adding the respectGitIgnore configuration to include .gitignored files in file searches (defaults to true)
- Fixed a bug with subagents and MCP servers related to "Tool names must be unique" error
- Fixed issue causing `/compact` to fail with `prompt_too_long` by making it respect existing compact boundaries
- Fixed plugin uninstall not removing plugins
## 2.0.30
- Added helpful hint to run `security unlock-keychain` when encountering API key errors on macOS with locked keychain
- Added `allowUnsandboxedCommands` sandbox setting to disable the dangerouslyDisableSandbox escape hatch at policy level
- Added `disallowedTools` field to custom agent definitions for explicit tool blocking
- Added prompt-based stop hooks
- VSCode: Added respectGitIgnore configuration to include .gitignored files in file searches (defaults to true)
- Enabled SSE MCP servers on native build
- Deprecated output styles. Review options in `/output-style` and use --system-prompt-file, --system-prompt, --append-system-prompt, CLAUDE.md, or plugins instead
- Removed support for custom ripgrep configuration, resolving an issue where Search returns no results and config discovery fails
- Fixed Explore agent creating unwanted .md investigation files during codebase exploration
- Fixed a bug where `/context` would sometimes fail with "max_tokens must be greater than thinking.budget_tokens" error message
- Fixed `--mcp-config` flag to correctly override file-based MCP configurations
- Fixed bug that saved session permissions to local settings
- Fixed MCP tools not being available to sub-agents
- Fixed hooks and plugins not executing when using --dangerously-skip-permissions flag
- Fixed delay when navigating through typeahead suggestions with arrow keys
- VSCode: Restored selection indicator in input footer showing current file or code selection status
## 2.0.28
- Plan mode: introduced new Plan subagent
- Subagents: claude can now choose to resume subagents
- Subagents: claude can dynamically choose the model used by its subagents
- SDK: added --max-budget-usd flag
- Discovery of custom slash commands, subagents, and output styles no longer respects .gitignore
- Stop `/terminal-setup` from adding backslash to `Shift + Enter` in VS Code
- Add branch and tag support for git-based plugins and marketplaces using fragment syntax (e.g., `owner/repo#branch`)
- Fixed a bug where macOS permission prompts would show up upon initial launch when launching from home directory
- Various other bug fixes
## 2.0.27
- New UI for permission prompts
- Added current branch filtering and search to session resume screen for easier navigation
- Fixed directory @-mention causing "No assistant message found" error
- VSCode Extension: Add config setting to include .gitignored files in file searches
- VSCode Extension: Bug fixes for unrelated 'Warmup' conversations, and configuration/settings occasionally being reset to defaults
## 2.0.25
- Removed legacy SDK entrypoint. Please migrate to @anthropic-ai/claude-agent-sdk for future SDK updates: https://platform.claude.com/docs/en/agent-sdk/migration-guide
## 2.0.24
- Fixed a bug where project-level skills were not loading when --setting-sources 'project' was specified
- Claude Code Web: Support for Web -> CLI teleport
- Sandbox: Releasing a sandbox mode for the BashTool on Linux & Mac
- Bedrock: Display awsAuthRefresh output when auth is required
## 2.0.22
- Fixed content layout shift when scrolling through slash commands
- IDE: Add toggle to enable/disable thinking.
- Fix bug causing duplicate permission prompts with parallel tool calls
- Add support for enterprise managed MCP allowlist and denylist
## 2.0.21
- Support MCP `structuredContent` field in tool responses
- Added an interactive question tool
- Claude will now ask you questions more often in plan mode
- Added Haiku 4.5 as a model option for Pro users
- Fixed an issue where queued commands don't have access to previous messages' output
## 2.0.20
- Added support for Claude Skills
## 2.0.19
- Auto-background long-running bash commands instead of killing them. Customize with BASH_DEFAULT_TIMEOUT_MS
- Fixed a bug where Haiku was unnecessarily called in print mode
## 2.0.17
- Added Haiku 4.5 to model selector!
- Haiku 4.5 automatically uses Sonnet in plan mode, and Haiku for execution (i.e. SonnetPlan by default)
- 3P (Bedrock and Vertex) are not automatically upgraded yet. Manual upgrading can be done through setting `ANTHROPIC_DEFAULT_HAIKU_MODEL`
- Introducing the Explore subagent. Powered by Haiku it'll search through your codebase efficiently to save context!
- OTEL: support HTTP_PROXY and HTTPS_PROXY
- `CLAUDE_CODE_DISABLE_NONESSENTIAL_TRAFFIC` now disables release notes fetching
## 2.0.15
- Fixed bug with resuming where previously created files needed to be read again before writing
- Fixed bug with `-p` mode where @-mentioned files needed to be read again before writing
## 2.0.14
- Fix @-mentioning MCP servers to toggle them on/off
- Improve permission checks for bash with inline env vars
- Fix ultrathink + thinking toggle
- Reduce unnecessary logins
- Document --system-prompt
- Several improvements to rendering
- Plugins UI polish
## 2.0.13
- Fixed `/plugin` not working on native build
## 2.0.12
- **Plugin System Released**: Extend Claude Code with custom commands, agents, hooks, and MCP servers from marketplaces
- `/plugin install`, `/plugin enable/disable`, `/plugin marketplace` commands for plugin management
- Repository-level plugin configuration via `extraKnownMarketplaces` for team collaboration
- `/plugin validate` command for validating plugin structure and configuration
- Plugin announcement blog post at https://www.anthropic.com/news/claude-code-plugins
- Plugin documentation available at https://code.claude.com/docs/en/plugins
- Comprehensive error messages and diagnostics via `/doctor` command
- Avoid flickering in `/model` selector
- Improvements to `/help`
- Avoid mentioning hooks in `/resume` summaries
- Changes to the "verbose" setting in `/config` now persist across sessions
## 2.0.11
- Reduced system prompt size by 1.4k tokens
- IDE: Fixed keyboard shortcuts and focus issues for smoother interaction
- Fixed Opus fallback rate limit errors appearing incorrectly
- Fixed /add-dir command selecting wrong default tab
## 2.0.10
- Rewrote terminal renderer for buttery smooth UI
- Enable/disable MCP servers by @mentioning, or in /mcp
- Added tab completion for shell commands in bash mode
- PreToolUse hooks can now modify tool inputs
- Press Ctrl-G to edit your prompt in your system's configured text editor
- Fixes for bash permission checks with environment variables in the command
## 2.0.9
- Fix regression where bash backgrounding stopped working
## 2.0.8
- Update Bedrock default Sonnet model to `global.anthropic.claude-sonnet-4-5-20250929-v1:0`
- IDE: Add drag-and-drop support for files and folders in chat
- /context: Fix counting for thinking blocks
- Improve message rendering for users with light themes on dark terminals
- Remove deprecated .claude.json allowedTools, ignorePatterns, env, and todoFeatureEnabled config options (instead, configure these in your settings.json)
## 2.0.5
- IDE: Fix IME unintended message submission with Enter and Tab
- IDE: Add "Open in Terminal" link in login screen
- Fix unhandled OAuth expiration 401 API errors
- SDK: Added SDKUserMessageReplay.isReplay to prevent duplicate messages
## 2.0.1
- Skip Sonnet 4.5 default model setting change for Bedrock and Vertex
- Various bug fixes and presentation improvements
## 2.0.0
- New native VS Code extension
- Fresh coat of paint throughout the whole app
- /rewind a conversation to undo code changes
- /usage command to see plan limits
- Tab to toggle thinking (sticky across sessions)
- Ctrl-R to search history
- Unshipped claude config command
- Hooks: Reduced PostToolUse 'tool_use' ids were found without 'tool_result' blocks errors
- SDK: The Claude Code SDK is now the Claude Agent SDK
- Add subagents dynamically with `--agents` flag
## 1.0.126
- Enable /context command for Bedrock and Vertex
- Add mTLS support for HTTP-based OpenTelemetry exporters
## 1.0.124
- Set `CLAUDE_BASH_NO_LOGIN` environment variable to 1 or true to to skip login shell for BashTool
- Fix Bedrock and Vertex environment variables evaluating all strings as truthy
- No longer inform Claude of the list of allowed tools when permission is denied
- Fixed security vulnerability in Bash tool permission checks
- Improved VSCode extension performance for large files
## 1.0.123
- Bash permission rules now support output redirections when matching (e.g., `Bash(python:*)` matches `python script.py > output.txt`)
- Fixed thinking mode triggering on negation phrases like "don't think"
- Fixed rendering performance degradation during token streaming
- Added SlashCommand tool, which enables Claude to invoke your slash commands. https://code.claude.com/docs/en/slash-commands#SlashCommand-tool
- Enhanced BashTool environment snapshot logging
- Fixed a bug where resuming a conversation in headless mode would sometimes enable thinking unnecessarily
- Migrated --debug logging to a file, to enable easy tailing & filtering
## 1.0.120
- Fix input lag during typing, especially noticeable with large prompts
- Improved VSCode extension command registry and sessions dialog user experience
- Enhanced sessions dialog responsiveness and visual feedback
- Fixed IDE compatibility issue by removing worktree support check
- Fixed security vulnerability where Bash tool permission checks could be bypassed using prefix matching
## 1.0.119
- Fix Windows issue where process visually freezes on entering interactive mode
- Support dynamic headers for MCP servers via headersHelper configuration
- Fix thinking mode not working in headless sessions
- Fix slash commands now properly update allowed tools instead of replacing them
## 1.0.117
- Add Ctrl-R history search to recall previous commands like bash/zsh
- Fix input lag while typing, especially on Windows
- Add sed command to auto-allowed commands in acceptEdits mode
- Fix Windows PATH comparison to be case-insensitive for drive letters
- Add permissions management hint to /add-dir output
## 1.0.115
- Improve thinking mode display with enhanced visual effects
- Type /t to temporarily disable thinking mode in your prompt
- Improve path validation for glob and grep tools
- Show condensed output for post-tool hooks to reduce visual clutter
- Fix visual feedback when loading state completes
- Improve UI consistency for permission request dialogs
## 1.0.113
- Deprecated piped input in interactive mode
- Move Ctrl+R keybinding for toggling transcript to Ctrl+O
## 1.0.112
- Transcript mode (Ctrl+R): Added the model used to generate each assistant message
- Addressed issue where some Claude Max users were incorrectly recognized as Claude Pro users
- Hooks: Added systemMessage support for SessionEnd hooks
- Added `spinnerTipsEnabled` setting to disable spinner tips
- IDE: Various improvements and bug fixes
## 1.0.111
- /model now validates provided model names
- Fixed Bash tool crashes caused by malformed shell syntax parsing
## 1.0.110
- /terminal-setup command now supports WezTerm
- MCP: OAuth tokens now proactively refresh before expiration
- Fixed reliability issues with background Bash processes
## 1.0.109
- SDK: Added partial message streaming support via `--include-partial-messages` CLI flag
## 1.0.106
- Windows: Fixed path permission matching to consistently use POSIX format (e.g., `Read(//c/Users/...)`)
## 1.0.97
- Settings: /doctor now validates permission rule syntax and suggests corrections
## 1.0.94
- Vertex: add support for global endpoints for supported models
- /memory command now allows direct editing of all imported memory files
- SDK: Add custom tools as callbacks
- Added /todos command to list current todo items
## 1.0.93
- Windows: Add alt + v shortcut for pasting images from clipboard
- Support NO_PROXY environment variable to bypass proxy for specified hostnames and IPs
## 1.0.90
- Settings file changes take effect immediately - no restart required
## 1.0.88
- Fixed issue causing "OAuth authentication is currently not supported"
- Status line input now includes `exceeds_200k_tokens`
- Fixed incorrect usage tracking in /cost.
- Introduced `ANTHROPIC_DEFAULT_SONNET_MODEL` and `ANTHROPIC_DEFAULT_OPUS_MODEL` for controlling model aliases opusplan, opus, and sonnet.
- Bedrock: Updated default Sonnet model to Sonnet 4
## 1.0.86
- Added /context to help users self-serve debug context issues
- SDK: Added UUID support for all SDK messages
- SDK: Added `--replay-user-messages` to replay user messages back to stdout
## 1.0.85
- Status line input now includes session cost info
- Hooks: Introduced SessionEnd hook
## 1.0.84
- Fix tool_use/tool_result id mismatch error when network is unstable
- Fix Claude sometimes ignoring real-time steering when wrapping up a task
- @-mention: Add ~/.claude/\* files to suggestions for easier agent, output style, and slash command editing
- Use built-in ripgrep by default; to opt out of this behavior, set USE_BUILTIN_RIPGREP=0
## 1.0.83
- @-mention: Support files with spaces in path
- New shimmering spinner
## 1.0.82
- SDK: Add request cancellation support
- SDK: New additionalDirectories option to search custom paths, improved slash command processing
- Settings: Validation prevents invalid fields in .claude/settings.json files
- MCP: Improve tool name consistency
- Bash: Fix crash when Claude tries to automatically read large files
## 1.0.81
- Released output styles, including new built-in educational output styles "Explanatory" and "Learning". Docs: https://code.claude.com/docs/en/output-styles
- Agents: Fix custom agent loading when agent files are unparsable
## 1.0.80
- UI improvements: Fix text contrast for custom subagent colors and spinner rendering issues
## 1.0.77
- Bash tool: Fix heredoc and multiline string escaping, improve stderr redirection handling
- SDK: Add session support and permission denial tracking
- Fix token limit errors in conversation summarization
- Opus Plan Mode: New setting in `/model` to run Opus only in plan mode, Sonnet otherwise
## 1.0.73
- MCP: Support multiple config files with `--mcp-config file1.json file2.json`
- MCP: Press Esc to cancel OAuth authentication flows
- Bash: Improved command validation and reduced false security warnings
- UI: Enhanced spinner animations and status line visual hierarchy
- Linux: Added support for Alpine and musl-based distributions (requires separate ripgrep installation)
## 1.0.72
- Ask permissions: have Claude Code always ask for confirmation to use specific tools with /permissions
## 1.0.71
- Background commands: (Ctrl-b) to run any Bash command in the background so Claude can keep working (great for dev servers, tailing logs, etc.)
@@ -179,7 +1111,7 @@
## 1.0.38
- Released hooks. Special thanks to community input in https://github.com/anthropics/claude-code/issues/712. Docs: https://docs.anthropic.com/en/docs/claude-code/hooks
- Released hooks. Special thanks to community input in https://github.com/anthropics/claude-code/issues/712. Docs: https://code.claude.com/docs/en/hooks
## 1.0.37

View File

@@ -6,33 +6,64 @@
Claude Code is an agentic coding tool that lives in your terminal, understands your codebase, and helps you code faster by executing routine tasks, explaining complex code, and handling git workflows -- all through natural language commands. Use it in your terminal, IDE, or tag @claude on Github.
**Learn more in the [official documentation](https://docs.anthropic.com/en/docs/claude-code/overview)**.
**Learn more in the [official documentation](https://code.claude.com/docs/en/overview)**.
<img src="./demo.gif" />
## Get started
> [!NOTE]
> Installation via npm is deprecated. Use one of the recommended methods below.
For more installation options, uninstall steps, and troubleshooting, see the [setup documentation](https://code.claude.com/docs/en/setup).
1. Install Claude Code:
```sh
npm install -g @anthropic-ai/claude-code
```
**MacOS/Linux (Recommended):**
```bash
curl -fsSL https://claude.ai/install.sh | bash
```
**Homebrew (MacOS/Linux):**
```bash
brew install --cask claude-code
```
**Windows (Recommended):**
```powershell
irm https://claude.ai/install.ps1 | iex
```
**WinGet (Windows):**
```powershell
winget install Anthropic.ClaudeCode
```
**NPM (Deprecated):**
```bash
npm install -g @anthropic-ai/claude-code
```
2. Navigate to your project directory and run `claude`.
## Plugins
This repository includes several Claude Code plugins that extend functionality with custom commands and agents. See the [plugins directory](./plugins/README.md) for detailed documentation on available plugins.
## Reporting Bugs
We welcome your feedback. Use the `/bug` command to report issues directly within Claude Code, or file a [GitHub issue](https://github.com/anthropics/claude-code/issues).
## Connect on Discord
Join the [Claude Developers Discord](https://anthropic.com/discord) to connect with other developers using Claude Code. Get help, share feedback, and discuss your projects with the community.
## Data collection, usage, and retention
When you use Claude Code, we collect feedback, which includes usage data (such as code acceptance or rejections), associated conversation data, and user feedback submitted via the `/bug` command.
### How we use your data
We may use feedback to improve our products and services, but we will not train generative models using your feedback from Claude Code. Given their potentially sensitive nature, we store user feedback transcripts for only 30 days.
If you choose to send us feedback about Claude Code, such as transcripts of your usage, Anthropic may use that feedback to debug related issues and improve Claude Code's functionality (e.g., to reduce the risk of similar bugs occurring in the future).
See our [data usage policies](https://code.claude.com/docs/en/data-usage).
### Privacy safeguards

View File

@@ -40,14 +40,18 @@ Write-Host "Using backend: $($Backend)"
# --- Prerequisite Check ---
Write-Host "Checking for required commands..."
try {
Get-Command $Backend -ErrorAction Stop | Out-Null
if (-not (Get-Command $Backend -ErrorAction SilentlyContinue)) {
throw "Required command '$($Backend)' not found."
}
Write-Host "- $($Backend) command found."
Get-Command devcontainer -ErrorAction Stop | Out-Null
if (-not (Get-Command devcontainer -ErrorAction SilentlyContinue)) {
throw "Required command 'devcontainer' not found."
}
Write-Host "- devcontainer command found."
}
catch {
Write-Error "A required command is not installed or not in your PATH."
Write-Error "Please ensure '$($_.Exception.Message.Split(':')[0])' and 'devcontainer' are installed and accessible."
Write-Error "A required command is not installed or not in your PATH. $($_.Exception.Message)"
Write-Error "Please ensure both '$Backend' and 'devcontainer' are installed and accessible in your system's PATH."
exit 1
}

BIN
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plugins/README.md Normal file
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# Claude Code Plugins
This directory contains some official Claude Code plugins that extend functionality through custom commands, agents, and workflows. These are examples of what's possible with the Claude Code plugin system—many more plugins are available through community marketplaces.
## What are Claude Code Plugins?
Claude Code plugins are extensions that enhance Claude Code with custom slash commands, specialized agents, hooks, and MCP servers. Plugins can be shared across projects and teams, providing consistent tooling and workflows.
Learn more in the [official plugins documentation](https://docs.claude.com/en/docs/claude-code/plugins).
## Plugins in This Directory
| Name | Description | Contents |
|------|-------------|----------|
| [agent-sdk-dev](./agent-sdk-dev/) | Development kit for working with the Claude Agent SDK | **Command:** `/new-sdk-app` - Interactive setup for new Agent SDK projects<br>**Agents:** `agent-sdk-verifier-py`, `agent-sdk-verifier-ts` - Validate SDK applications against best practices |
| [claude-opus-4-5-migration](./claude-opus-4-5-migration/) | Migrate code and prompts from Sonnet 4.x and Opus 4.1 to Opus 4.5 | **Skill:** `claude-opus-4-5-migration` - Automated migration of model strings, beta headers, and prompt adjustments |
| [code-review](./code-review/) | Automated PR code review using multiple specialized agents with confidence-based scoring to filter false positives | **Command:** `/code-review` - Automated PR review workflow<br>**Agents:** 5 parallel Sonnet agents for CLAUDE.md compliance, bug detection, historical context, PR history, and code comments |
| [commit-commands](./commit-commands/) | Git workflow automation for committing, pushing, and creating pull requests | **Commands:** `/commit`, `/commit-push-pr`, `/clean_gone` - Streamlined git operations |
| [explanatory-output-style](./explanatory-output-style/) | Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style) | **Hook:** SessionStart - Injects educational context at the start of each session |
| [feature-dev](./feature-dev/) | Comprehensive feature development workflow with a structured 7-phase approach | **Command:** `/feature-dev` - Guided feature development workflow<br>**Agents:** `code-explorer`, `code-architect`, `code-reviewer` - For codebase analysis, architecture design, and quality review |
| [frontend-design](./frontend-design/) | Create distinctive, production-grade frontend interfaces that avoid generic AI aesthetics | **Skill:** `frontend-design` - Auto-invoked for frontend work, providing guidance on bold design choices, typography, animations, and visual details |
| [hookify](./hookify/) | Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or explicit instructions | **Commands:** `/hookify`, `/hookify:list`, `/hookify:configure`, `/hookify:help`<br>**Agent:** `conversation-analyzer` - Analyzes conversations for problematic behaviors<br>**Skill:** `writing-rules` - Guidance on hookify rule syntax |
| [learning-output-style](./learning-output-style/) | Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style) | **Hook:** SessionStart - Encourages users to write meaningful code (5-10 lines) at decision points while receiving educational insights |
| [plugin-dev](./plugin-dev/) | Comprehensive toolkit for developing Claude Code plugins with 7 expert skills and AI-assisted creation | **Command:** `/plugin-dev:create-plugin` - 8-phase guided workflow for building plugins<br>**Agents:** `agent-creator`, `plugin-validator`, `skill-reviewer`<br>**Skills:** Hook development, MCP integration, plugin structure, settings, commands, agents, and skill development |
| [pr-review-toolkit](./pr-review-toolkit/) | Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification | **Command:** `/pr-review-toolkit:review-pr` - Run with optional review aspects (comments, tests, errors, types, code, simplify, all)<br>**Agents:** `comment-analyzer`, `pr-test-analyzer`, `silent-failure-hunter`, `type-design-analyzer`, `code-reviewer`, `code-simplifier` |
| [ralph-wiggum](./ralph-wiggum/) | Interactive self-referential AI loops for iterative development. Claude works on the same task repeatedly until completion | **Commands:** `/ralph-loop`, `/cancel-ralph` - Start/stop autonomous iteration loops<br>**Hook:** Stop - Intercepts exit attempts to continue iteration |
| [security-guidance](./security-guidance/) | Security reminder hook that warns about potential security issues when editing files | **Hook:** PreToolUse - Monitors 9 security patterns including command injection, XSS, eval usage, dangerous HTML, pickle deserialization, and os.system calls |
## Installation
These plugins are included in the Claude Code repository. To use them in your own projects:
1. Install Claude Code globally:
```bash
npm install -g @anthropic-ai/claude-code
```
2. Navigate to your project and run Claude Code:
```bash
claude
```
3. Use the `/plugin` command to install plugins from marketplaces, or configure them in your project's `.claude/settings.json`.
For detailed plugin installation and configuration, see the [official documentation](https://docs.claude.com/en/docs/claude-code/plugins).
## Plugin Structure
Each plugin follows the standard Claude Code plugin structure:
```
plugin-name/
├── .claude-plugin/
│ └── plugin.json # Plugin metadata
├── commands/ # Slash commands (optional)
├── agents/ # Specialized agents (optional)
├── skills/ # Agent Skills (optional)
├── hooks/ # Event handlers (optional)
├── .mcp.json # External tool configuration (optional)
└── README.md # Plugin documentation
```
## Contributing
When adding new plugins to this directory:
1. Follow the standard plugin structure
2. Include a comprehensive README.md
3. Add plugin metadata in `.claude-plugin/plugin.json`
4. Document all commands and agents
5. Provide usage examples
## Learn More
- [Claude Code Documentation](https://docs.claude.com/en/docs/claude-code/overview)
- [Plugin System Documentation](https://docs.claude.com/en/docs/claude-code/plugins)
- [Agent SDK Documentation](https://docs.claude.com/en/api/agent-sdk/overview)

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@@ -0,0 +1,9 @@
{
"name": "agent-sdk-dev",
"description": "Claude Agent SDK Development Plugin",
"version": "1.0.0",
"author": {
"name": "Ashwin Bhat",
"email": "ashwin@anthropic.com"
}
}

View File

@@ -0,0 +1,208 @@
# Agent SDK Development Plugin
A comprehensive plugin for creating and verifying Claude Agent SDK applications in Python and TypeScript.
## Overview
The Agent SDK Development Plugin streamlines the entire lifecycle of building Agent SDK applications, from initial scaffolding to verification against best practices. It helps you quickly start new projects with the latest SDK versions and ensures your applications follow official documentation patterns.
## Features
### Command: `/new-sdk-app`
Interactive command that guides you through creating a new Claude Agent SDK application.
**What it does:**
- Asks clarifying questions about your project (language, name, agent type, starting point)
- Checks for and installs the latest SDK version
- Creates all necessary project files and configuration
- Sets up proper environment files (.env.example, .gitignore)
- Provides a working example tailored to your use case
- Runs type checking (TypeScript) or syntax validation (Python)
- Automatically verifies the setup using the appropriate verifier agent
**Usage:**
```bash
/new-sdk-app my-project-name
```
Or simply:
```bash
/new-sdk-app
```
The command will interactively ask you:
1. Language choice (TypeScript or Python)
2. Project name (if not provided)
3. Agent type (coding, business, custom)
4. Starting point (minimal, basic, or specific example)
5. Tooling preferences (npm/yarn/pnpm or pip/poetry)
**Example:**
```bash
/new-sdk-app customer-support-agent
# → Creates a new Agent SDK project for a customer support agent
# → Sets up TypeScript or Python environment
# → Installs latest SDK version
# → Verifies the setup automatically
```
### Agent: `agent-sdk-verifier-py`
Thoroughly verifies Python Agent SDK applications for correct setup and best practices.
**Verification checks:**
- SDK installation and version
- Python environment setup (requirements.txt, pyproject.toml)
- Correct SDK usage and patterns
- Agent initialization and configuration
- Environment and security (.env, API keys)
- Error handling and functionality
- Documentation completeness
**When to use:**
- After creating a new Python SDK project
- After modifying an existing Python SDK application
- Before deploying a Python SDK application
**Usage:**
The agent runs automatically after `/new-sdk-app` creates a Python project, or you can trigger it by asking:
```
"Verify my Python Agent SDK application"
"Check if my SDK app follows best practices"
```
**Output:**
Provides a comprehensive report with:
- Overall status (PASS / PASS WITH WARNINGS / FAIL)
- Critical issues that prevent functionality
- Warnings about suboptimal patterns
- List of passed checks
- Specific recommendations with SDK documentation references
### Agent: `agent-sdk-verifier-ts`
Thoroughly verifies TypeScript Agent SDK applications for correct setup and best practices.
**Verification checks:**
- SDK installation and version
- TypeScript configuration (tsconfig.json)
- Correct SDK usage and patterns
- Type safety and imports
- Agent initialization and configuration
- Environment and security (.env, API keys)
- Error handling and functionality
- Documentation completeness
**When to use:**
- After creating a new TypeScript SDK project
- After modifying an existing TypeScript SDK application
- Before deploying a TypeScript SDK application
**Usage:**
The agent runs automatically after `/new-sdk-app` creates a TypeScript project, or you can trigger it by asking:
```
"Verify my TypeScript Agent SDK application"
"Check if my SDK app follows best practices"
```
**Output:**
Provides a comprehensive report with:
- Overall status (PASS / PASS WITH WARNINGS / FAIL)
- Critical issues that prevent functionality
- Warnings about suboptimal patterns
- List of passed checks
- Specific recommendations with SDK documentation references
## Workflow Example
Here's a typical workflow using this plugin:
1. **Create a new project:**
```bash
/new-sdk-app code-reviewer-agent
```
2. **Answer the interactive questions:**
```
Language: TypeScript
Agent type: Coding agent (code review)
Starting point: Basic agent with common features
```
3. **Automatic verification:**
The command automatically runs `agent-sdk-verifier-ts` to ensure everything is correctly set up.
4. **Start developing:**
```bash
# Set your API key
echo "ANTHROPIC_API_KEY=your_key_here" > .env
# Run your agent
npm start
```
5. **Verify after changes:**
```
"Verify my SDK application"
```
## Installation
This plugin is included in the Claude Code repository. To use it:
1. Ensure Claude Code is installed
2. The plugin commands and agents are automatically available
## Best Practices
- **Always use the latest SDK version**: `/new-sdk-app` checks for and installs the latest version
- **Verify before deploying**: Run the verifier agent before deploying to production
- **Keep API keys secure**: Never commit `.env` files or hardcode API keys
- **Follow SDK documentation**: The verifier agents check against official patterns
- **Type check TypeScript projects**: Run `npx tsc --noEmit` regularly
- **Test your agents**: Create test cases for your agent's functionality
## Resources
- [Agent SDK Overview](https://docs.claude.com/en/api/agent-sdk/overview)
- [TypeScript SDK Reference](https://docs.claude.com/en/api/agent-sdk/typescript)
- [Python SDK Reference](https://docs.claude.com/en/api/agent-sdk/python)
- [Agent SDK Examples](https://docs.claude.com/en/api/agent-sdk/examples)
## Troubleshooting
### Type errors in TypeScript project
**Issue**: TypeScript project has type errors after creation
**Solution**:
- The `/new-sdk-app` command runs type checking automatically
- If errors persist, check that you're using the latest SDK version
- Verify your `tsconfig.json` matches SDK requirements
### Python import errors
**Issue**: Cannot import from `claude_agent_sdk`
**Solution**:
- Ensure you've installed dependencies: `pip install -r requirements.txt`
- Activate your virtual environment if using one
- Check that the SDK is installed: `pip show claude-agent-sdk`
### Verification fails with warnings
**Issue**: Verifier agent reports warnings
**Solution**:
- Review the specific warnings in the report
- Check the SDK documentation references provided
- Warnings don't prevent functionality but indicate areas for improvement
## Author
Ashwin Bhat (ashwin@anthropic.com)
## Version
1.0.0

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@@ -0,0 +1,140 @@
---
name: agent-sdk-verifier-py
description: Use this agent to verify that a Python Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a Python Agent SDK app has been created or modified.
model: sonnet
---
You are a Python Agent SDK application verifier. Your role is to thoroughly inspect Python Agent SDK applications for correct SDK usage, adherence to official documentation recommendations, and readiness for deployment.
## Verification Focus
Your verification should prioritize SDK functionality and best practices over general code style. Focus on:
1. **SDK Installation and Configuration**:
- Verify `claude-agent-sdk` is installed (check requirements.txt, pyproject.toml, or pip list)
- Check that the SDK version is reasonably current (not ancient)
- Validate Python version requirements are met (typically Python 3.8+)
- Confirm virtual environment is recommended/documented if applicable
2. **Python Environment Setup**:
- Check for requirements.txt or pyproject.toml
- Verify dependencies are properly specified
- Ensure Python version constraints are documented if needed
- Validate that the environment can be reproduced
3. **SDK Usage and Patterns**:
- Verify correct imports from `claude_agent_sdk` (or appropriate SDK module)
- Check that agents are properly initialized according to SDK docs
- Validate that agent configuration follows SDK patterns (system prompts, models, etc.)
- Ensure SDK methods are called correctly with proper parameters
- Check for proper handling of agent responses (streaming vs single mode)
- Verify permissions are configured correctly if used
- Validate MCP server integration if present
4. **Code Quality**:
- Check for basic syntax errors
- Verify imports are correct and available
- Ensure proper error handling
- Validate that the code structure makes sense for the SDK
5. **Environment and Security**:
- Check that `.env.example` exists with `ANTHROPIC_API_KEY`
- Verify `.env` is in `.gitignore`
- Ensure API keys are not hardcoded in source files
- Validate proper error handling around API calls
6. **SDK Best Practices** (based on official docs):
- System prompts are clear and well-structured
- Appropriate model selection for the use case
- Permissions are properly scoped if used
- Custom tools (MCP) are correctly integrated if present
- Subagents are properly configured if used
- Session handling is correct if applicable
7. **Functionality Validation**:
- Verify the application structure makes sense for the SDK
- Check that agent initialization and execution flow is correct
- Ensure error handling covers SDK-specific errors
- Validate that the app follows SDK documentation patterns
8. **Documentation**:
- Check for README or basic documentation
- Verify setup instructions are present (including virtual environment setup)
- Ensure any custom configurations are documented
- Confirm installation instructions are clear
## What NOT to Focus On
- General code style preferences (PEP 8 formatting, naming conventions, etc.)
- Python-specific style choices (snake_case vs camelCase debates)
- Import ordering preferences
- General Python best practices unrelated to SDK usage
## Verification Process
1. **Read the relevant files**:
- requirements.txt or pyproject.toml
- Main application files (main.py, app.py, src/\*, etc.)
- .env.example and .gitignore
- Any configuration files
2. **Check SDK Documentation Adherence**:
- Use WebFetch to reference the official Python SDK docs: https://docs.claude.com/en/api/agent-sdk/python
- Compare the implementation against official patterns and recommendations
- Note any deviations from documented best practices
3. **Validate Imports and Syntax**:
- Check that all imports are correct
- Look for obvious syntax errors
- Verify SDK is properly imported
4. **Analyze SDK Usage**:
- Verify SDK methods are used correctly
- Check that configuration options match SDK documentation
- Validate that patterns follow official examples
## Verification Report Format
Provide a comprehensive report:
**Overall Status**: PASS | PASS WITH WARNINGS | FAIL
**Summary**: Brief overview of findings
**Critical Issues** (if any):
- Issues that prevent the app from functioning
- Security problems
- SDK usage errors that will cause runtime failures
- Syntax errors or import problems
**Warnings** (if any):
- Suboptimal SDK usage patterns
- Missing SDK features that would improve the app
- Deviations from SDK documentation recommendations
- Missing documentation or setup instructions
**Passed Checks**:
- What is correctly configured
- SDK features properly implemented
- Security measures in place
**Recommendations**:
- Specific suggestions for improvement
- References to SDK documentation
- Next steps for enhancement
Be thorough but constructive. Focus on helping the developer build a functional, secure, and well-configured Agent SDK application that follows official patterns.

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@@ -0,0 +1,145 @@
---
name: agent-sdk-verifier-ts
description: Use this agent to verify that a TypeScript Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a TypeScript Agent SDK app has been created or modified.
model: sonnet
---
You are a TypeScript Agent SDK application verifier. Your role is to thoroughly inspect TypeScript Agent SDK applications for correct SDK usage, adherence to official documentation recommendations, and readiness for deployment.
## Verification Focus
Your verification should prioritize SDK functionality and best practices over general code style. Focus on:
1. **SDK Installation and Configuration**:
- Verify `@anthropic-ai/claude-agent-sdk` is installed
- Check that the SDK version is reasonably current (not ancient)
- Confirm package.json has `"type": "module"` for ES modules support
- Validate that Node.js version requirements are met (check package.json engines field if present)
2. **TypeScript Configuration**:
- Verify tsconfig.json exists and has appropriate settings for the SDK
- Check module resolution settings (should support ES modules)
- Ensure target is modern enough for the SDK
- Validate that compilation settings won't break SDK imports
3. **SDK Usage and Patterns**:
- Verify correct imports from `@anthropic-ai/claude-agent-sdk`
- Check that agents are properly initialized according to SDK docs
- Validate that agent configuration follows SDK patterns (system prompts, models, etc.)
- Ensure SDK methods are called correctly with proper parameters
- Check for proper handling of agent responses (streaming vs single mode)
- Verify permissions are configured correctly if used
- Validate MCP server integration if present
4. **Type Safety and Compilation**:
- Run `npx tsc --noEmit` to check for type errors
- Verify that all SDK imports have correct type definitions
- Ensure the code compiles without errors
- Check that types align with SDK documentation
5. **Scripts and Build Configuration**:
- Verify package.json has necessary scripts (build, start, typecheck)
- Check that scripts are correctly configured for TypeScript/ES modules
- Validate that the application can be built and run
6. **Environment and Security**:
- Check that `.env.example` exists with `ANTHROPIC_API_KEY`
- Verify `.env` is in `.gitignore`
- Ensure API keys are not hardcoded in source files
- Validate proper error handling around API calls
7. **SDK Best Practices** (based on official docs):
- System prompts are clear and well-structured
- Appropriate model selection for the use case
- Permissions are properly scoped if used
- Custom tools (MCP) are correctly integrated if present
- Subagents are properly configured if used
- Session handling is correct if applicable
8. **Functionality Validation**:
- Verify the application structure makes sense for the SDK
- Check that agent initialization and execution flow is correct
- Ensure error handling covers SDK-specific errors
- Validate that the app follows SDK documentation patterns
9. **Documentation**:
- Check for README or basic documentation
- Verify setup instructions are present if needed
- Ensure any custom configurations are documented
## What NOT to Focus On
- General code style preferences (formatting, naming conventions, etc.)
- Whether developers use `type` vs `interface` or other TypeScript style choices
- Unused variable naming conventions
- General TypeScript best practices unrelated to SDK usage
## Verification Process
1. **Read the relevant files**:
- package.json
- tsconfig.json
- Main application files (index.ts, src/\*, etc.)
- .env.example and .gitignore
- Any configuration files
2. **Check SDK Documentation Adherence**:
- Use WebFetch to reference the official TypeScript SDK docs: https://docs.claude.com/en/api/agent-sdk/typescript
- Compare the implementation against official patterns and recommendations
- Note any deviations from documented best practices
3. **Run Type Checking**:
- Execute `npx tsc --noEmit` to verify no type errors
- Report any compilation issues
4. **Analyze SDK Usage**:
- Verify SDK methods are used correctly
- Check that configuration options match SDK documentation
- Validate that patterns follow official examples
## Verification Report Format
Provide a comprehensive report:
**Overall Status**: PASS | PASS WITH WARNINGS | FAIL
**Summary**: Brief overview of findings
**Critical Issues** (if any):
- Issues that prevent the app from functioning
- Security problems
- SDK usage errors that will cause runtime failures
- Type errors or compilation failures
**Warnings** (if any):
- Suboptimal SDK usage patterns
- Missing SDK features that would improve the app
- Deviations from SDK documentation recommendations
- Missing documentation
**Passed Checks**:
- What is correctly configured
- SDK features properly implemented
- Security measures in place
**Recommendations**:
- Specific suggestions for improvement
- References to SDK documentation
- Next steps for enhancement
Be thorough but constructive. Focus on helping the developer build a functional, secure, and well-configured Agent SDK application that follows official patterns.

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@@ -0,0 +1,176 @@
---
description: Create and setup a new Claude Agent SDK application
argument-hint: [project-name]
---
You are tasked with helping the user create a new Claude Agent SDK application. Follow these steps carefully:
## Reference Documentation
Before starting, review the official documentation to ensure you provide accurate and up-to-date guidance. Use WebFetch to read these pages:
1. **Start with the overview**: https://docs.claude.com/en/api/agent-sdk/overview
2. **Based on the user's language choice, read the appropriate SDK reference**:
- TypeScript: https://docs.claude.com/en/api/agent-sdk/typescript
- Python: https://docs.claude.com/en/api/agent-sdk/python
3. **Read relevant guides mentioned in the overview** such as:
- Streaming vs Single Mode
- Permissions
- Custom Tools
- MCP integration
- Subagents
- Sessions
- Any other relevant guides based on the user's needs
**IMPORTANT**: Always check for and use the latest versions of packages. Use WebSearch or WebFetch to verify current versions before installation.
## Gather Requirements
IMPORTANT: Ask these questions one at a time. Wait for the user's response before asking the next question. This makes it easier for the user to respond.
Ask the questions in this order (skip any that the user has already provided via arguments):
1. **Language** (ask first): "Would you like to use TypeScript or Python?"
- Wait for response before continuing
2. **Project name** (ask second): "What would you like to name your project?"
- If $ARGUMENTS is provided, use that as the project name and skip this question
- Wait for response before continuing
3. **Agent type** (ask third, but skip if #2 was sufficiently detailed): "What kind of agent are you building? Some examples:
- Coding agent (SRE, security review, code review)
- Business agent (customer support, content creation)
- Custom agent (describe your use case)"
- Wait for response before continuing
4. **Starting point** (ask fourth): "Would you like:
- A minimal 'Hello World' example to start
- A basic agent with common features
- A specific example based on your use case"
- Wait for response before continuing
5. **Tooling choice** (ask fifth): Let the user know what tools you'll use, and confirm with them that these are the tools they want to use (for example, they may prefer pnpm or bun over npm). Respect the user's preferences when executing on the requirements.
After all questions are answered, proceed to create the setup plan.
## Setup Plan
Based on the user's answers, create a plan that includes:
1. **Project initialization**:
- Create project directory (if it doesn't exist)
- Initialize package manager:
- TypeScript: `npm init -y` and setup `package.json` with type: "module" and scripts (include a "typecheck" script)
- Python: Create `requirements.txt` or use `poetry init`
- Add necessary configuration files:
- TypeScript: Create `tsconfig.json` with proper settings for the SDK
- Python: Optionally create config files if needed
2. **Check for Latest Versions**:
- BEFORE installing, use WebSearch or check npm/PyPI to find the latest version
- For TypeScript: Check https://www.npmjs.com/package/@anthropic-ai/claude-agent-sdk
- For Python: Check https://pypi.org/project/claude-agent-sdk/
- Inform the user which version you're installing
3. **SDK Installation**:
- TypeScript: `npm install @anthropic-ai/claude-agent-sdk@latest` (or specify latest version)
- Python: `pip install claude-agent-sdk` (pip installs latest by default)
- After installation, verify the installed version:
- TypeScript: Check package.json or run `npm list @anthropic-ai/claude-agent-sdk`
- Python: Run `pip show claude-agent-sdk`
4. **Create starter files**:
- TypeScript: Create an `index.ts` or `src/index.ts` with a basic query example
- Python: Create a `main.py` with a basic query example
- Include proper imports and basic error handling
- Use modern, up-to-date syntax and patterns from the latest SDK version
5. **Environment setup**:
- Create a `.env.example` file with `ANTHROPIC_API_KEY=your_api_key_here`
- Add `.env` to `.gitignore`
- Explain how to get an API key from https://console.anthropic.com/
6. **Optional: Create .claude directory structure**:
- Offer to create `.claude/` directory for agents, commands, and settings
- Ask if they want any example subagents or slash commands
## Implementation
After gathering requirements and getting user confirmation on the plan:
1. Check for latest package versions using WebSearch or WebFetch
2. Execute the setup steps
3. Create all necessary files
4. Install dependencies (always use latest stable versions)
5. Verify installed versions and inform the user
6. Create a working example based on their agent type
7. Add helpful comments in the code explaining what each part does
8. **VERIFY THE CODE WORKS BEFORE FINISHING**:
- For TypeScript:
- Run `npx tsc --noEmit` to check for type errors
- Fix ALL type errors until types pass completely
- Ensure imports and types are correct
- Only proceed when type checking passes with no errors
- For Python:
- Verify imports are correct
- Check for basic syntax errors
- **DO NOT consider the setup complete until the code verifies successfully**
## Verification
After all files are created and dependencies are installed, use the appropriate verifier agent to validate that the Agent SDK application is properly configured and ready for use:
1. **For TypeScript projects**: Launch the **agent-sdk-verifier-ts** agent to validate the setup
2. **For Python projects**: Launch the **agent-sdk-verifier-py** agent to validate the setup
3. The agent will check SDK usage, configuration, functionality, and adherence to official documentation
4. Review the verification report and address any issues
## Getting Started Guide
Once setup is complete and verified, provide the user with:
1. **Next steps**:
- How to set their API key
- How to run their agent:
- TypeScript: `npm start` or `node --loader ts-node/esm index.ts`
- Python: `python main.py`
2. **Useful resources**:
- Link to TypeScript SDK reference: https://docs.claude.com/en/api/agent-sdk/typescript
- Link to Python SDK reference: https://docs.claude.com/en/api/agent-sdk/python
- Explain key concepts: system prompts, permissions, tools, MCP servers
3. **Common next steps**:
- How to customize the system prompt
- How to add custom tools via MCP
- How to configure permissions
- How to create subagents
## Important Notes
- **ALWAYS USE LATEST VERSIONS**: Before installing any packages, check for the latest versions using WebSearch or by checking npm/PyPI directly
- **VERIFY CODE RUNS CORRECTLY**:
- For TypeScript: Run `npx tsc --noEmit` and fix ALL type errors before finishing
- For Python: Verify syntax and imports are correct
- Do NOT consider the task complete until the code passes verification
- Verify the installed version after installation and inform the user
- Check the official documentation for any version-specific requirements (Node.js version, Python version, etc.)
- Always check if directories/files already exist before creating them
- Use the user's preferred package manager (npm, yarn, pnpm for TypeScript; pip, poetry for Python)
- Ensure all code examples are functional and include proper error handling
- Use modern syntax and patterns that are compatible with the latest SDK version
- Make the experience interactive and educational
- **ASK QUESTIONS ONE AT A TIME** - Do not ask multiple questions in a single response
Begin by asking the FIRST requirement question only. Wait for the user's answer before proceeding to the next question.

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{
"name": "claude-opus-4-5-migration",
"version": "1.0.0",
"description": "Migrate your code and prompts from Sonnet 4.x and Opus 4.1 to Opus 4.5.",
"author": {
"name": "William Hu",
"email": "whu@anthropic.com"
}
}

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# Claude Opus 4.5 Migration Plugin
Migrate your code and prompts from Sonnet 4.x and Opus 4.1 to Opus 4.5.
## Overview
This skill updates your code and prompts to be compatible with Opus 4.5. It automates the migration process, handling model strings, beta headers, and other configuration details. If you run into any issues with Opus 4.5 after migration, you can continue using this skill to adjust your prompts.
## Usage
```
"Migrate my codebase to Opus 4.5"
```
## Learn More
Refer to our [prompting guide](https://platform.claude.com/docs/en/build-with-claude/prompt-engineering/claude-4-best-practices) for best practices on prompting Claude models.
## Authors
William Hu (whu@anthropic.com)

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---
name: claude-opus-4-5-migration
description: Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string updates and prompt adjustments for known Opus 4.5 behavioral differences. Does NOT migrate Haiku 4.5.
---
# Opus 4.5 Migration Guide
One-shot migration from Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5.
## Migration Workflow
1. Search codebase for model strings and API calls
2. Update model strings to Opus 4.5 (see platform-specific strings below)
3. Remove unsupported beta headers
4. Add effort parameter set to `"high"` (see `references/effort.md`)
5. Summarize all changes made
6. Tell the user: "If you encounter any issues with Opus 4.5, let me know and I can help adjust your prompts."
## Model String Updates
Identify which platform the codebase uses, then replace model strings accordingly.
### Unsupported Beta Headers
Remove the `context-1m-2025-08-07` beta header if present—it is not yet supported with Opus 4.5. Leave a comment noting this:
```python
# Note: 1M context beta (context-1m-2025-08-07) not yet supported with Opus 4.5
```
### Target Model Strings (Opus 4.5)
| Platform | Opus 4.5 Model String |
|----------|----------------------|
| Anthropic API (1P) | `claude-opus-4-5-20251101` |
| AWS Bedrock | `anthropic.claude-opus-4-5-20251101-v1:0` |
| Google Vertex AI | `claude-opus-4-5@20251101` |
| Azure AI Foundry | `claude-opus-4-5-20251101` |
### Source Model Strings to Replace
| Source Model | Anthropic API (1P) | AWS Bedrock | Google Vertex AI |
|--------------|-------------------|-------------|------------------|
| Sonnet 4.0 | `claude-sonnet-4-20250514` | `anthropic.claude-sonnet-4-20250514-v1:0` | `claude-sonnet-4@20250514` |
| Sonnet 4.5 | `claude-sonnet-4-5-20250929` | `anthropic.claude-sonnet-4-5-20250929-v1:0` | `claude-sonnet-4-5@20250929` |
| Opus 4.1 | `claude-opus-4-1-20250422` | `anthropic.claude-opus-4-1-20250422-v1:0` | `claude-opus-4-1@20250422` |
**Do NOT migrate**: Any Haiku models (e.g., `claude-haiku-4-5-20251001`).
## Prompt Adjustments
Opus 4.5 has known behavioral differences from previous models. **Only apply these fixes if the user explicitly requests them or reports a specific issue.** By default, just update model strings.
**Integration guidelines**: When adding snippets, don't just append them to prompts. Integrate them thoughtfully:
- Use XML tags (e.g., `<code_guidelines>`, `<tool_usage>`) to organize additions
- Match the style and structure of the existing prompt
- Place snippets in logical locations (e.g., coding guidelines near other coding instructions)
- If the prompt already uses XML tags, add new content within appropriate existing tags or create consistent new ones
### 1. Tool Overtriggering
Opus 4.5 is more responsive to system prompts. Aggressive language that prevented undertriggering on previous models may now cause overtriggering.
**Apply if**: User reports tools being called too frequently or unnecessarily.
**Find and soften**:
- `CRITICAL:` → remove or soften
- `You MUST...``You should...`
- `ALWAYS do X``Do X`
- `NEVER skip...``Don't skip...`
- `REQUIRED` → remove or soften
Only apply to tool-triggering instructions. Leave other uses of emphasis alone.
### 2. Over-Engineering Prevention
Opus 4.5 tends to create extra files, add unnecessary abstractions, or build unrequested flexibility.
**Apply if**: User reports unwanted files, excessive abstraction, or unrequested features. Add the snippet from `references/prompt-snippets.md`.
### 3. Code Exploration
Opus 4.5 can be overly conservative about exploring code, proposing solutions without reading files.
**Apply if**: User reports the model proposing fixes without inspecting relevant code. Add the snippet from `references/prompt-snippets.md`.
### 4. Frontend Design
**Apply if**: User requests improved frontend design quality or reports generic-looking outputs.
Add the frontend aesthetics snippet from `references/prompt-snippets.md`.
### 5. Thinking Sensitivity
When extended thinking is not enabled (the default), Opus 4.5 is particularly sensitive to the word "think" and its variants. Extended thinking is enabled only if the API request contains a `thinking` parameter.
**Apply if**: User reports issues related to "thinking" while extended thinking is not enabled (no `thinking` parameter in request).
Replace "think" with alternatives like "consider," "believe," or "evaluate."
## Reference
See `references/prompt-snippets.md` for the full text of each snippet to add.
See `references/effort.md` for configuring the effort parameter (only if user requests it).

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# Effort Parameter (Beta)
**Add effort set to `"high"` during migration.** This is the default configuration for best performance with Opus 4.5.
## Overview
Effort controls how eagerly Claude spends tokens. It affects all tokens: thinking, text responses, and function calls.
| Effort | Use Case |
|--------|----------|
| `high` | Best performance, deep reasoning (default) |
| `medium` | Balance of cost/latency vs. performance |
| `low` | Simple, high-volume queries; significant token savings |
## Implementation
Requires beta flag `effort-2025-11-24` in API calls.
**Python SDK:**
```python
response = client.messages.create(
model="claude-opus-4-5-20251101",
max_tokens=1024,
betas=["effort-2025-11-24"],
output_config={
"effort": "high" # or "medium" or "low"
},
messages=[...]
)
```
**TypeScript SDK:**
```typescript
const response = await client.messages.create({
model: "claude-opus-4-5-20251101",
max_tokens: 1024,
betas: ["effort-2025-11-24"],
output_config: {
effort: "high" // or "medium" or "low"
},
messages: [...]
});
```
**Raw API:**
```json
{
"model": "claude-opus-4-5-20251101",
"max_tokens": 1024,
"anthropic-beta": "effort-2025-11-24",
"output_config": {
"effort": "high"
},
"messages": [...]
}
```
## Effort vs. Thinking Budget
Effort is independent of thinking budget:
- High effort + no thinking = more tokens, but no thinking tokens
- High effort + 32k thinking = more tokens, but thinking capped at 32k
## Recommendations
1. First determine effort level, then set thinking budget
2. Best performance: high effort + high thinking budget
3. Cost/latency optimization: medium effort
4. Simple high-volume queries: low effort

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# Prompt Snippets for Opus 4.5
Only apply these snippets if the user explicitly requests them or reports a specific issue. By default, the migration should only update model strings.
## 1. Tool Overtriggering
**Problem**: Prompts designed to reduce undertriggering on previous models may cause Opus 4.5 to overtrigger.
**When to add**: User reports tools being called too frequently or unnecessarily.
**Solution**: Replace aggressive language with normal phrasing.
| Before | After |
|--------|-------|
| `CRITICAL: You MUST use this tool when...` | `Use this tool when...` |
| `ALWAYS call the search function before...` | `Call the search function before...` |
| `You are REQUIRED to...` | `You should...` |
| `NEVER skip this step` | `Don't skip this step` |
## 2. Over-Engineering Prevention
**Problem**: Opus 4.5 may create extra files, add unnecessary abstractions, or build unrequested flexibility.
**When to add**: User reports unwanted files, excessive abstraction, or unrequested features.
**Snippet to add to system prompt**:
```
- Avoid over-engineering. Only make changes that are directly requested or clearly necessary. Keep solutions simple and focused.
- Don't add features, refactor code, or make "improvements" beyond what was asked. A bug fix doesn't need surrounding code cleaned up. A simple feature doesn't need extra configurability.
- Don't add error handling, fallbacks, or validation for scenarios that can't happen. Trust internal code and framework guarantees. Only validate at system boundaries (user input, external APIs). Don't use backwards-compatibility shims when you can just change the code.
- Don't create helpers, utilities, or abstractions for one-time operations. Don't design for hypothetical future requirements. The right amount of complexity is the minimum needed for the current task. Reuse existing abstractions where possible and follow the DRY principle.
```
## 3. Code Exploration
**Problem**: Opus 4.5 may propose solutions without reading code or make assumptions about unread files.
**When to add**: User reports the model proposing fixes without inspecting relevant code.
**Snippet to add to system prompt**:
```
ALWAYS read and understand relevant files before proposing code edits. Do not speculate about code you have not inspected. If the user references a specific file/path, you MUST open and inspect it before explaining or proposing fixes. Be rigorous and persistent in searching code for key facts. Thoroughly review the style, conventions, and abstractions of the codebase before implementing new features or abstractions.
```
## 4. Frontend Design Quality
**Problem**: Default frontend outputs may look generic ("AI slop" aesthetic).
**When to add**: User requests improved frontend design quality or reports generic-looking outputs.
**Snippet to add to system prompt**:
```xml
<frontend_aesthetics>
You tend to converge toward generic, "on distribution" outputs. In frontend design, this creates what users call the "AI slop" aesthetic. Avoid this: make creative, distinctive frontends that surprise and delight.
Focus on:
- Typography: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the frontend's aesthetics.
- Color & Theme: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes. Draw from IDE themes and cultural aesthetics for inspiration.
- Motion: Use animations for effects and micro-interactions. Prioritize CSS-only solutions for HTML. Use Motion library for React when available. Focus on high-impact moments: one well-orchestrated page load with staggered reveals (animation-delay) creates more delight than scattered micro-interactions.
- Backgrounds: Create atmosphere and depth rather than defaulting to solid colors. Layer CSS gradients, use geometric patterns, or add contextual effects that match the overall aesthetic.
Avoid generic AI-generated aesthetics:
- Overused font families (Inter, Roboto, Arial, system fonts)
- Clichéd color schemes (particularly purple gradients on white backgrounds)
- Predictable layouts and component patterns
- Cookie-cutter design that lacks context-specific character
Interpret creatively and make unexpected choices that feel genuinely designed for the context. Vary between light and dark themes, different fonts, different aesthetics. You still tend to converge on common choices (Space Grotesk, for example) across generations. Avoid this: it is critical that you think outside the box!
</frontend_aesthetics>
```
## 5. Thinking Sensitivity
**Problem**: When extended thinking is not enabled (the default), Opus 4.5 is particularly sensitive to the word "think" and its variants.
Extended thinking is not enabled by default. It is only enabled if the API request contains a `thinking` parameter:
```json
"thinking": {
"type": "enabled",
"budget_tokens": 10000
}
```
**When to apply**: User reports issues related to "thinking" while extended thinking is not enabled (no `thinking` parameter in their request).
**Solution**: Replace "think" with alternative words.
| Before | After |
|--------|-------|
| `think about` | `consider` |
| `think through` | `evaluate` |
| `I think` | `I believe` |
| `think carefully` | `consider carefully` |
| `thinking` | `reasoning` / `considering` |
## Usage Guidelines
1. **Integrate thoughtfully** - Don't just append snippets; weave them into the existing prompt structure
2. **Use XML tags** - Wrap additions in descriptive tags (e.g., `<coding_guidelines>`, `<tool_behavior>`) that match or complement existing prompt structure
3. **Match prompt style** - If the prompt is concise, trim the snippet; if verbose, keep full detail
4. **Place logically** - Put coding snippets near other coding instructions, tool guidance near tool definitions, etc.
5. **Preserve existing content** - Insert snippets without removing functional content
6. **Summarize changes** - After migration, list all model string updates and prompt modifications made

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{
"name": "code-review",
"description": "Automated code review for pull requests using multiple specialized agents with confidence-based scoring",
"version": "1.0.0",
"author": {
"name": "Boris Cherny",
"email": "boris@anthropic.com"
}
}

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# Code Review Plugin
Automated code review for pull requests using multiple specialized agents with confidence-based scoring to filter false positives.
## Overview
The Code Review Plugin automates pull request review by launching multiple agents in parallel to independently audit changes from different perspectives. It uses confidence scoring to filter out false positives, ensuring only high-quality, actionable feedback is posted.
## Commands
### `/code-review`
Performs automated code review on a pull request using multiple specialized agents.
**What it does:**
1. Checks if review is needed (skips closed, draft, trivial, or already-reviewed PRs)
2. Gathers relevant CLAUDE.md guideline files from the repository
3. Summarizes the pull request changes
4. Launches 4 parallel agents to independently review:
- **Agents #1 & #2**: Audit for CLAUDE.md compliance
- **Agent #3**: Scan for obvious bugs in changes
- **Agent #4**: Analyze git blame/history for context-based issues
5. Scores each issue 0-100 for confidence level
6. Filters out issues below 80 confidence threshold
7. Outputs review (to terminal by default, or as PR comment with `--comment` flag)
**Usage:**
```bash
/code-review [--comment]
```
**Options:**
- `--comment`: Post the review as a comment on the pull request (default: outputs to terminal only)
**Example workflow:**
```bash
# On a PR branch, run locally (outputs to terminal):
/code-review
# Post review as PR comment:
/code-review --comment
# Claude will:
# - Launch 4 review agents in parallel
# - Score each issue for confidence
# - Output issues ≥80 confidence (to terminal or PR depending on flag)
# - Skip if no high-confidence issues found
```
**Features:**
- Multiple independent agents for comprehensive review
- Confidence-based scoring reduces false positives (threshold: 80)
- CLAUDE.md compliance checking with explicit guideline verification
- Bug detection focused on changes (not pre-existing issues)
- Historical context analysis via git blame
- Automatic skipping of closed, draft, or already-reviewed PRs
- Links directly to code with full SHA and line ranges
**Review comment format:**
```markdown
## Code review
Found 3 issues:
1. Missing error handling for OAuth callback (CLAUDE.md says "Always handle OAuth errors")
https://github.com/owner/repo/blob/abc123.../src/auth.ts#L67-L72
2. Memory leak: OAuth state not cleaned up (bug due to missing cleanup in finally block)
https://github.com/owner/repo/blob/abc123.../src/auth.ts#L88-L95
3. Inconsistent naming pattern (src/conventions/CLAUDE.md says "Use camelCase for functions")
https://github.com/owner/repo/blob/abc123.../src/utils.ts#L23-L28
```
**Confidence scoring:**
- **0**: Not confident, false positive
- **25**: Somewhat confident, might be real
- **50**: Moderately confident, real but minor
- **75**: Highly confident, real and important
- **100**: Absolutely certain, definitely real
**False positives filtered:**
- Pre-existing issues not introduced in PR
- Code that looks like a bug but isn't
- Pedantic nitpicks
- Issues linters will catch
- General quality issues (unless in CLAUDE.md)
- Issues with lint ignore comments
## Installation
This plugin is included in the Claude Code repository. The command is automatically available when using Claude Code.
## Best Practices
### Using `/code-review`
- Maintain clear CLAUDE.md files for better compliance checking
- Trust the 80+ confidence threshold - false positives are filtered
- Run on all non-trivial pull requests
- Review agent findings as a starting point for human review
- Update CLAUDE.md based on recurring review patterns
### When to use
- All pull requests with meaningful changes
- PRs touching critical code paths
- PRs from multiple contributors
- PRs where guideline compliance matters
### When not to use
- Closed or draft PRs (automatically skipped anyway)
- Trivial automated PRs (automatically skipped)
- Urgent hotfixes requiring immediate merge
- PRs already reviewed (automatically skipped)
## Workflow Integration
### Standard PR review workflow:
```bash
# Create PR with changes
# Run local review (outputs to terminal)
/code-review
# Review the automated feedback
# Make any necessary fixes
# Optionally post as PR comment
/code-review --comment
# Merge when ready
```
### As part of CI/CD:
```bash
# Trigger on PR creation or update
# Use --comment flag to post review comments
/code-review --comment
# Skip if review already exists
```
## Requirements
- Git repository with GitHub integration
- GitHub CLI (`gh`) installed and authenticated
- CLAUDE.md files (optional but recommended for guideline checking)
## Troubleshooting
### Review takes too long
**Issue**: Agents are slow on large PRs
**Solution**:
- Normal for large changes - agents run in parallel
- 4 independent agents ensure thoroughness
- Consider splitting large PRs into smaller ones
### Too many false positives
**Issue**: Review flags issues that aren't real
**Solution**:
- Default threshold is 80 (already filters most false positives)
- Make CLAUDE.md more specific about what matters
- Consider if the flagged issue is actually valid
### No review comment posted
**Issue**: `/code-review` runs but no comment appears
**Solution**:
Check if:
- PR is closed (reviews skipped)
- PR is draft (reviews skipped)
- PR is trivial/automated (reviews skipped)
- PR already has review (reviews skipped)
- No issues scored ≥80 (no comment needed)
### Link formatting broken
**Issue**: Code links don't render correctly in GitHub
**Solution**:
Links must follow this exact format:
```
https://github.com/owner/repo/blob/[full-sha]/path/file.ext#L[start]-L[end]
```
- Must use full SHA (not abbreviated)
- Must use `#L` notation
- Must include line range with at least 1 line of context
### GitHub CLI not working
**Issue**: `gh` commands fail
**Solution**:
- Install GitHub CLI: `brew install gh` (macOS) or see [GitHub CLI installation](https://cli.github.com/)
- Authenticate: `gh auth login`
- Verify repository has GitHub remote
## Tips
- **Write specific CLAUDE.md files**: Clear guidelines = better reviews
- **Include context in PRs**: Helps agents understand intent
- **Use confidence scores**: Issues ≥80 are usually correct
- **Iterate on guidelines**: Update CLAUDE.md based on patterns
- **Review automatically**: Set up as part of PR workflow
- **Trust the filtering**: Threshold prevents noise
## Configuration
### Adjusting confidence threshold
The default threshold is 80. To adjust, modify the command file at `commands/code-review.md`:
```markdown
Filter out any issues with a score less than 80.
```
Change `80` to your preferred threshold (0-100).
### Customizing review focus
Edit `commands/code-review.md` to add or modify agent tasks:
- Add security-focused agents
- Add performance analysis agents
- Add accessibility checking agents
- Add documentation quality checks
## Technical Details
### Agent architecture
- **2x CLAUDE.md compliance agents**: Redundancy for guideline checks
- **1x bug detector**: Focused on obvious bugs in changes only
- **1x history analyzer**: Context from git blame and history
- **Nx confidence scorers**: One per issue for independent scoring
### Scoring system
- Each issue independently scored 0-100
- Scoring considers evidence strength and verification
- Threshold (default 80) filters low-confidence issues
- For CLAUDE.md issues: verifies guideline explicitly mentions it
### GitHub integration
Uses `gh` CLI for:
- Viewing PR details and diffs
- Fetching repository data
- Reading git blame and history
- Posting review comments
## Author
Boris Cherny (boris@anthropic.com)
## Version
1.0.0

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---
allowed-tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr list:*), mcp__github_inline_comment__create_inline_comment
description: Code review a pull request
---
Provide a code review for the given pull request.
**Agent assumptions (applies to all agents and subagents):**
- All tools are functional and will work without error. Do not test tools or make exploratory calls. Make sure this is clear to every subagent that is launched.
- Only call a tool if it is required to complete the task. Every tool call should have a clear purpose.
To do this, follow these steps precisely:
1. Launch a haiku agent to check if any of the following are true:
- The pull request is closed
- The pull request is a draft
- The pull request does not need code review (e.g. automated PR, trivial change that is obviously correct)
- Claude has already commented on this PR (check `gh pr view <PR> --comments` for comments left by claude)
If any condition is true, stop and do not proceed.
Note: Still review Claude generated PR's.
2. Launch a haiku agent to return a list of file paths (not their contents) for all relevant CLAUDE.md files including:
- The root CLAUDE.md file, if it exists
- Any CLAUDE.md files in directories containing files modified by the pull request
3. Launch a sonnet agent to view the pull request and return a summary of the changes
4. Launch 4 agents in parallel to independently review the changes. Each agent should return the list of issues, where each issue includes a description and the reason it was flagged (e.g. "CLAUDE.md adherence", "bug"). The agents should do the following:
Agents 1 + 2: CLAUDE.md compliance sonnet agents
Audit changes for CLAUDE.md compliance in parallel. Note: When evaluating CLAUDE.md compliance for a file, you should only consider CLAUDE.md files that share a file path with the file or parents.
Agent 3: Opus bug agent (parallel subagent with agent 4)
Scan for obvious bugs. Focus only on the diff itself without reading extra context. Flag only significant bugs; ignore nitpicks and likely false positives. Do not flag issues that you cannot validate without looking at context outside of the git diff.
Agent 4: Opus bug agent (parallel subagent with agent 3)
Look for problems that exist in the introduced code. This could be security issues, incorrect logic, etc. Only look for issues that fall within the changed code.
**CRITICAL: We only want HIGH SIGNAL issues.** Flag issues where:
- The code will fail to compile or parse (syntax errors, type errors, missing imports, unresolved references)
- The code will definitely produce wrong results regardless of inputs (clear logic errors)
- Clear, unambiguous CLAUDE.md violations where you can quote the exact rule being broken
Do NOT flag:
- Code style or quality concerns
- Potential issues that depend on specific inputs or state
- Subjective suggestions or improvements
If you are not certain an issue is real, do not flag it. False positives erode trust and waste reviewer time.
In addition to the above, each subagent should be told the PR title and description. This will help provide context regarding the author's intent.
5. For each issue found in the previous step by agents 3 and 4, launch parallel subagents to validate the issue. These subagents should get the PR title and description along with a description of the issue. The agent's job is to review the issue to validate that the stated issue is truly an issue with high confidence. For example, if an issue such as "variable is not defined" was flagged, the subagent's job would be to validate that is actually true in the code. Another example would be CLAUDE.md issues. The agent should validate that the CLAUDE.md rule that was violated is scoped for this file and is actually violated. Use Opus subagents for bugs and logic issues, and sonnet agents for CLAUDE.md violations.
6. Filter out any issues that were not validated in step 5. This step will give us our list of high signal issues for our review.
7. If issues were found, skip to step 8 to post inline comments directly.
If NO issues were found, post a summary comment using `gh pr comment` (if `--comment` argument is provided):
"No issues found. Checked for bugs and CLAUDE.md compliance."
8. Create a list of all comments that you plan on leaving. This is only for you to make sure you are comfortable with the comments. Do not post this list anywhere.
9. Post inline comments for each issue using `mcp__github_inline_comment__create_inline_comment`. For each comment:
- Provide a brief description of the issue
- For small, self-contained fixes, include a committable suggestion block
- For larger fixes (6+ lines, structural changes, or changes spanning multiple locations), describe the issue and suggested fix without a suggestion block
- Never post a committable suggestion UNLESS committing the suggestion fixes the issue entirely. If follow up steps are required, do not leave a committable suggestion.
**IMPORTANT: Only post ONE comment per unique issue. Do not post duplicate comments.**
Use this list when evaluating issues in Steps 4 and 5 (these are false positives, do NOT flag):
- Pre-existing issues
- Something that appears to be a bug but is actually correct
- Pedantic nitpicks that a senior engineer would not flag
- Issues that a linter will catch (do not run the linter to verify)
- General code quality concerns (e.g., lack of test coverage, general security issues) unless explicitly required in CLAUDE.md
- Issues mentioned in CLAUDE.md but explicitly silenced in the code (e.g., via a lint ignore comment)
Notes:
- Use gh CLI to interact with GitHub (e.g., fetch pull requests, create comments). Do not use web fetch.
- Create a todo list before starting.
- You must cite and link each issue in inline comments (e.g., if referring to a CLAUDE.md, include a link to it).
- If no issues are found, post a comment with the following format:
---
## Code review
No issues found. Checked for bugs and CLAUDE.md compliance.
---
- When linking to code in inline comments, follow the following format precisely, otherwise the Markdown preview won't render correctly: https://github.com/anthropics/claude-code/blob/c21d3c10bc8e898b7ac1a2d745bdc9bc4e423afe/package.json#L10-L15
- Requires full git sha
- You must provide the full sha. Commands like `https://github.com/owner/repo/blob/$(git rev-parse HEAD)/foo/bar` will not work, since your comment will be directly rendered in Markdown.
- Repo name must match the repo you're code reviewing
- # sign after the file name
- Line range format is L[start]-L[end]
- Provide at least 1 line of context before and after, centered on the line you are commenting about (eg. if you are commenting about lines 5-6, you should link to `L4-7`)

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{
"name": "commit-commands",
"description": "Streamline your git workflow with simple commands for committing, pushing, and creating pull requests",
"version": "1.0.0",
"author": {
"name": "Anthropic",
"email": "support@anthropic.com"
}
}

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# Commit Commands Plugin
Streamline your git workflow with simple commands for committing, pushing, and creating pull requests.
## Overview
The Commit Commands Plugin automates common git operations, reducing context switching and manual command execution. Instead of running multiple git commands, use a single slash command to handle your entire workflow.
## Commands
### `/commit`
Creates a git commit with an automatically generated commit message based on staged and unstaged changes.
**What it does:**
1. Analyzes current git status
2. Reviews both staged and unstaged changes
3. Examines recent commit messages to match your repository's style
4. Drafts an appropriate commit message
5. Stages relevant files
6. Creates the commit
**Usage:**
```bash
/commit
```
**Example workflow:**
```bash
# Make some changes to your code
# Then simply run:
/commit
# Claude will:
# - Review your changes
# - Stage the files
# - Create a commit with an appropriate message
# - Show you the commit status
```
**Features:**
- Automatically drafts commit messages that match your repo's style
- Follows conventional commit practices
- Avoids committing files with secrets (.env, credentials.json)
- Includes Claude Code attribution in commit message
### `/commit-push-pr`
Complete workflow command that commits, pushes, and creates a pull request in one step.
**What it does:**
1. Creates a new branch (if currently on main)
2. Stages and commits changes with an appropriate message
3. Pushes the branch to origin
4. Creates a pull request using `gh pr create`
5. Provides the PR URL
**Usage:**
```bash
/commit-push-pr
```
**Example workflow:**
```bash
# Make your changes
# Then run:
/commit-push-pr
# Claude will:
# - Create a feature branch (if needed)
# - Commit your changes
# - Push to remote
# - Open a PR with summary and test plan
# - Give you the PR URL to review
```
**Features:**
- Analyzes all commits in the branch (not just the latest)
- Creates comprehensive PR descriptions with:
- Summary of changes (1-3 bullet points)
- Test plan checklist
- Claude Code attribution
- Handles branch creation automatically
- Uses GitHub CLI (`gh`) for PR creation
**Requirements:**
- GitHub CLI (`gh`) must be installed and authenticated
- Repository must have a remote named `origin`
### `/clean_gone`
Cleans up local branches that have been deleted from the remote repository.
**What it does:**
1. Lists all local branches to identify [gone] status
2. Identifies and removes worktrees associated with [gone] branches
3. Deletes all branches marked as [gone]
4. Provides feedback on removed branches
**Usage:**
```bash
/clean_gone
```
**Example workflow:**
```bash
# After PRs are merged and remote branches are deleted
/clean_gone
# Claude will:
# - Find all branches marked as [gone]
# - Remove any associated worktrees
# - Delete the stale local branches
# - Report what was cleaned up
```
**Features:**
- Handles both regular branches and worktree branches
- Safely removes worktrees before deleting branches
- Shows clear feedback about what was removed
- Reports if no cleanup was needed
**When to use:**
- After merging and deleting remote branches
- When your local branch list is cluttered with stale branches
- During regular repository maintenance
## Installation
This plugin is included in the Claude Code repository. The commands are automatically available when using Claude Code.
## Best Practices
### Using `/commit`
- Review the staged changes before committing
- Let Claude analyze your changes and match your repo's commit style
- Trust the automated message, but verify it's accurate
- Use for routine commits during development
### Using `/commit-push-pr`
- Use when you're ready to create a PR
- Ensure all your changes are complete and tested
- Claude will analyze the full branch history for the PR description
- Review the PR description and edit if needed
- Use when you want to minimize context switching
### Using `/clean_gone`
- Run periodically to keep your branch list clean
- Especially useful after merging multiple PRs
- Safe to run - only removes branches already deleted remotely
- Helps maintain a tidy local repository
## Workflow Integration
### Quick commit workflow:
```bash
# Write code
/commit
# Continue development
```
### Feature branch workflow:
```bash
# Develop feature across multiple commits
/commit # First commit
# More changes
/commit # Second commit
# Ready to create PR
/commit-push-pr
```
### Maintenance workflow:
```bash
# After several PRs are merged
/clean_gone
# Clean workspace ready for next feature
```
## Requirements
- Git must be installed and configured
- For `/commit-push-pr`: GitHub CLI (`gh`) must be installed and authenticated
- Repository must be a git repository with a remote
## Troubleshooting
### `/commit` creates empty commit
**Issue**: No changes to commit
**Solution**:
- Ensure you have unstaged or staged changes
- Run `git status` to verify changes exist
### `/commit-push-pr` fails to create PR
**Issue**: `gh pr create` command fails
**Solution**:
- Install GitHub CLI: `brew install gh` (macOS) or see [GitHub CLI installation](https://cli.github.com/)
- Authenticate: `gh auth login`
- Ensure repository has a GitHub remote
### `/clean_gone` doesn't find branches
**Issue**: No branches marked as [gone]
**Solution**:
- Run `git fetch --prune` to update remote tracking
- Branches must be deleted from the remote to show as [gone]
## Tips
- **Combine with other tools**: Use `/commit` during development, then `/commit-push-pr` when ready
- **Let Claude draft messages**: The commit message analysis learns from your repo's style
- **Regular cleanup**: Run `/clean_gone` weekly to maintain a clean branch list
- **Review before pushing**: Always review the commit message and changes before pushing
## Author
Anthropic (support@anthropic.com)
## Version
1.0.0

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@@ -0,0 +1,53 @@
---
description: Cleans up all git branches marked as [gone] (branches that have been deleted on the remote but still exist locally), including removing associated worktrees.
---
## Your Task
You need to execute the following bash commands to clean up stale local branches that have been deleted from the remote repository.
## Commands to Execute
1. **First, list branches to identify any with [gone] status**
Execute this command:
```bash
git branch -v
```
Note: Branches with a '+' prefix have associated worktrees and must have their worktrees removed before deletion.
2. **Next, identify worktrees that need to be removed for [gone] branches**
Execute this command:
```bash
git worktree list
```
3. **Finally, remove worktrees and delete [gone] branches (handles both regular and worktree branches)**
Execute this command:
```bash
# Process all [gone] branches, removing '+' prefix if present
git branch -v | grep '\[gone\]' | sed 's/^[+* ]//' | awk '{print $1}' | while read branch; do
echo "Processing branch: $branch"
# Find and remove worktree if it exists
worktree=$(git worktree list | grep "\\[$branch\\]" | awk '{print $1}')
if [ ! -z "$worktree" ] && [ "$worktree" != "$(git rev-parse --show-toplevel)" ]; then
echo " Removing worktree: $worktree"
git worktree remove --force "$worktree"
fi
# Delete the branch
echo " Deleting branch: $branch"
git branch -D "$branch"
done
```
## Expected Behavior
After executing these commands, you will:
- See a list of all local branches with their status
- Identify and remove any worktrees associated with [gone] branches
- Delete all branches marked as [gone]
- Provide feedback on which worktrees and branches were removed
If no branches are marked as [gone], report that no cleanup was needed.

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---
allowed-tools: Bash(git checkout --branch:*), Bash(git add:*), Bash(git status:*), Bash(git push:*), Bash(git commit:*), Bash(gh pr create:*)
description: Commit, push, and open a PR
---
## Context
- Current git status: !`git status`
- Current git diff (staged and unstaged changes): !`git diff HEAD`
- Current branch: !`git branch --show-current`
## Your task
Based on the above changes:
1. Create a new branch if on main
2. Create a single commit with an appropriate message
3. Push the branch to origin
4. Create a pull request using `gh pr create`
5. You have the capability to call multiple tools in a single response. You MUST do all of the above in a single message. Do not use any other tools or do anything else. Do not send any other text or messages besides these tool calls.

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---
allowed-tools: Bash(git add:*), Bash(git status:*), Bash(git commit:*)
description: Create a git commit
---
## Context
- Current git status: !`git status`
- Current git diff (staged and unstaged changes): !`git diff HEAD`
- Current branch: !`git branch --show-current`
- Recent commits: !`git log --oneline -10`
## Your task
Based on the above changes, create a single git commit.
You have the capability to call multiple tools in a single response. Stage and create the commit using a single message. Do not use any other tools or do anything else. Do not send any other text or messages besides these tool calls.

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{
"name": "explanatory-output-style",
"version": "1.0.0",
"description": "Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)",
"author": {
"name": "Dickson Tsai",
"email": "dickson@anthropic.com"
}
}

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# Explanatory Output Style Plugin
This plugin recreates the deprecated Explanatory output style as a SessionStart
hook.
WARNING: Do not install this plugin unless you are fine with incurring the token
cost of this plugin's additional instructions and output.
## What it does
When enabled, this plugin automatically adds instructions at the start of each
session that encourage Claude to:
1. Provide educational insights about implementation choices
2. Explain codebase patterns and decisions
3. Balance task completion with learning opportunities
## How it works
The plugin uses a SessionStart hook to inject additional context into every
session. This context instructs Claude to provide brief educational explanations
before and after writing code, formatted as:
```
`★ Insight ─────────────────────────────────────`
[2-3 key educational points]
`─────────────────────────────────────────────────`
```
## Usage
Once installed, the plugin activates automatically at the start of every
session. No additional configuration is needed.
The insights focus on:
- Specific implementation choices for your codebase
- Patterns and conventions in your code
- Trade-offs and design decisions
- Codebase-specific details rather than general programming concepts
## Migration from Output Styles
This plugin replaces the deprecated "Explanatory" output style setting. If you
previously used:
```json
{
"outputStyle": "Explanatory"
}
```
You can now achieve the same behavior by installing this plugin instead.
More generally, this SessionStart hook pattern is roughly equivalent to
CLAUDE.md, but it is more flexible and allows for distribution through plugins.
Note: Output styles that involve tasks besides software development, are better
expressed as
[subagents](https://docs.claude.com/en/docs/claude-code/sub-agents), not as
SessionStart hooks. Subagents change the system prompt while SessionStart hooks
add to the default system prompt.
## Managing changes
- Disable the plugin - keep the code installed on your device
- Uninstall the plugin - remove the code from your device
- Update the plugin - create a local copy of this plugin to personalize this
plugin
- Hint: Ask Claude to read
https://docs.claude.com/en/docs/claude-code/plugins.md and set it up for
you!

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#!/usr/bin/env bash
# Output the explanatory mode instructions as additionalContext
# This mimics the deprecated Explanatory output style
cat << 'EOF'
{
"hookSpecificOutput": {
"hookEventName": "SessionStart",
"additionalContext": "You are in 'explanatory' output style mode, where you should provide educational insights about the codebase as you help with the user's task.\n\nYou should be clear and educational, providing helpful explanations while remaining focused on the task. Balance educational content with task completion. When providing insights, you may exceed typical length constraints, but remain focused and relevant.\n\n## Insights\nIn order to encourage learning, before and after writing code, always provide brief educational explanations about implementation choices using (with backticks):\n\"`★ Insight ─────────────────────────────────────`\n[2-3 key educational points]\n`─────────────────────────────────────────────────`\"\n\nThese insights should be included in the conversation, not in the codebase. You should generally focus on interesting insights that are specific to the codebase or the code you just wrote, rather than general programming concepts. Do not wait until the end to provide insights. Provide them as you write code."
}
}
EOF
exit 0

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{
"description": "Explanatory mode hook that adds educational insights instructions",
"hooks": {
"SessionStart": [
{
"hooks": [
{
"type": "command",
"command": "${CLAUDE_PLUGIN_ROOT}/hooks-handlers/session-start.sh"
}
]
}
]
}
}

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{
"name": "feature-dev",
"version": "1.0.0",
"description": "Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review",
"author": {
"name": "Sid Bidasaria",
"email": "sbidasaria@anthropic.com"
}
}

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@@ -0,0 +1,412 @@
# Feature Development Plugin
A comprehensive, structured workflow for feature development with specialized agents for codebase exploration, architecture design, and quality review.
## Overview
The Feature Development Plugin provides a systematic 7-phase approach to building new features. Instead of jumping straight into code, it guides you through understanding the codebase, asking clarifying questions, designing architecture, and ensuring quality—resulting in better-designed features that integrate seamlessly with your existing code.
## Philosophy
Building features requires more than just writing code. You need to:
- **Understand the codebase** before making changes
- **Ask questions** to clarify ambiguous requirements
- **Design thoughtfully** before implementing
- **Review for quality** after building
This plugin embeds these practices into a structured workflow that runs automatically when you use the `/feature-dev` command.
## Command: `/feature-dev`
Launches a guided feature development workflow with 7 distinct phases.
**Usage:**
```bash
/feature-dev Add user authentication with OAuth
```
Or simply:
```bash
/feature-dev
```
The command will guide you through the entire process interactively.
## The 7-Phase Workflow
### Phase 1: Discovery
**Goal**: Understand what needs to be built
**What happens:**
- Clarifies the feature request if it's unclear
- Asks what problem you're solving
- Identifies constraints and requirements
- Summarizes understanding and confirms with you
**Example:**
```
You: /feature-dev Add caching
Claude: Let me understand what you need...
- What should be cached? (API responses, computed values, etc.)
- What are your performance requirements?
- Do you have a preferred caching solution?
```
### Phase 2: Codebase Exploration
**Goal**: Understand relevant existing code and patterns
**What happens:**
- Launches 2-3 `code-explorer` agents in parallel
- Each agent explores different aspects (similar features, architecture, UI patterns)
- Agents return comprehensive analyses with key files to read
- Claude reads all identified files to build deep understanding
- Presents comprehensive summary of findings
**Agents launched:**
- "Find features similar to [feature] and trace implementation"
- "Map the architecture and abstractions for [area]"
- "Analyze current implementation of [related feature]"
**Example output:**
```
Found similar features:
- User authentication (src/auth/): Uses JWT tokens, middleware pattern
- Session management (src/session/): Redis-backed, 24hr expiry
- API security (src/api/middleware/): Rate limiting, CORS
Key files to understand:
- src/auth/AuthService.ts:45 - Core authentication logic
- src/middleware/authMiddleware.ts:12 - Request authentication
- src/config/security.ts:8 - Security configuration
```
### Phase 3: Clarifying Questions
**Goal**: Fill in gaps and resolve all ambiguities
**What happens:**
- Reviews codebase findings and feature request
- Identifies underspecified aspects:
- Edge cases
- Error handling
- Integration points
- Backward compatibility
- Performance needs
- Presents all questions in an organized list
- **Waits for your answers before proceeding**
**Example:**
```
Before designing the architecture, I need to clarify:
1. OAuth provider: Which OAuth providers? (Google, GitHub, custom?)
2. User data: Store OAuth tokens or just user profile?
3. Existing auth: Replace current auth or add alongside?
4. Sessions: Integrate with existing session management?
5. Error handling: How to handle OAuth failures?
```
**Critical**: This phase ensures nothing is ambiguous before design begins.
### Phase 4: Architecture Design
**Goal**: Design multiple implementation approaches
**What happens:**
- Launches 2-3 `code-architect` agents with different focuses:
- **Minimal changes**: Smallest change, maximum reuse
- **Clean architecture**: Maintainability, elegant abstractions
- **Pragmatic balance**: Speed + quality
- Reviews all approaches
- Forms opinion on which fits best for this task
- Presents comparison with trade-offs and recommendation
- **Asks which approach you prefer**
**Example output:**
```
I've designed 3 approaches:
Approach 1: Minimal Changes
- Extend existing AuthService with OAuth methods
- Add new OAuth routes to existing auth router
- Minimal refactoring required
Pros: Fast, low risk
Cons: Couples OAuth to existing auth, harder to test
Approach 2: Clean Architecture
- New OAuthService with dedicated interface
- Separate OAuth router and middleware
- Refactor AuthService to use common interface
Pros: Clean separation, testable, maintainable
Cons: More files, more refactoring
Approach 3: Pragmatic Balance
- New OAuthProvider abstraction
- Integrate into existing AuthService
- Minimal refactoring, good boundaries
Pros: Balanced complexity and cleanliness
Cons: Some coupling remains
Recommendation: Approach 3 - gives you clean boundaries without
excessive refactoring, and fits your existing architecture well.
Which approach would you like to use?
```
### Phase 5: Implementation
**Goal**: Build the feature
**What happens:**
- **Waits for explicit approval** before starting
- Reads all relevant files identified in previous phases
- Implements following chosen architecture
- Follows codebase conventions strictly
- Writes clean, well-documented code
- Updates todos as progress is made
**Notes:**
- Implementation only starts after you approve
- Follows patterns discovered in Phase 2
- Uses architecture designed in Phase 4
- Continuously tracks progress
### Phase 6: Quality Review
**Goal**: Ensure code is simple, DRY, elegant, and functionally correct
**What happens:**
- Launches 3 `code-reviewer` agents in parallel with different focuses:
- **Simplicity/DRY/Elegance**: Code quality and maintainability
- **Bugs/Correctness**: Functional correctness and logic errors
- **Conventions/Abstractions**: Project standards and patterns
- Consolidates findings
- Identifies highest severity issues
- **Presents findings and asks what you want to do**:
- Fix now
- Fix later
- Proceed as-is
- Addresses issues based on your decision
**Example output:**
```
Code Review Results:
High Priority Issues:
1. Missing error handling in OAuth callback (src/auth/oauth.ts:67)
2. Memory leak: OAuth state not cleaned up (src/auth/oauth.ts:89)
Medium Priority:
1. Could simplify token refresh logic (src/auth/oauth.ts:120)
2. Consider extracting OAuth config validation
All tests pass. Code follows project conventions.
What would you like to do?
```
### Phase 7: Summary
**Goal**: Document what was accomplished
**What happens:**
- Marks all todos complete
- Summarizes:
- What was built
- Key decisions made
- Files modified
- Suggested next steps
**Example:**
```
Feature Complete: OAuth Authentication
What was built:
- OAuth provider abstraction supporting Google and GitHub
- OAuth routes and middleware integrated with existing auth
- Token refresh and session integration
- Error handling for all OAuth flows
Key decisions:
- Used pragmatic approach with OAuthProvider abstraction
- Integrated with existing session management
- Added OAuth state to prevent CSRF
Files modified:
- src/auth/OAuthProvider.ts (new)
- src/auth/AuthService.ts
- src/routes/auth.ts
- src/middleware/authMiddleware.ts
Suggested next steps:
- Add tests for OAuth flows
- Add more OAuth providers (Microsoft, Apple)
- Update documentation
```
## Agents
### `code-explorer`
**Purpose**: Deeply analyzes existing codebase features by tracing execution paths
**Focus areas:**
- Entry points and call chains
- Data flow and transformations
- Architecture layers and patterns
- Dependencies and integrations
- Implementation details
**When triggered:**
- Automatically in Phase 2
- Can be invoked manually when exploring code
**Output:**
- Entry points with file:line references
- Step-by-step execution flow
- Key components and responsibilities
- Architecture insights
- List of essential files to read
### `code-architect`
**Purpose**: Designs feature architectures and implementation blueprints
**Focus areas:**
- Codebase pattern analysis
- Architecture decisions
- Component design
- Implementation roadmap
- Data flow and build sequence
**When triggered:**
- Automatically in Phase 4
- Can be invoked manually for architecture design
**Output:**
- Patterns and conventions found
- Architecture decision with rationale
- Complete component design
- Implementation map with specific files
- Build sequence with phases
### `code-reviewer`
**Purpose**: Reviews code for bugs, quality issues, and project conventions
**Focus areas:**
- Project guideline compliance (CLAUDE.md)
- Bug detection
- Code quality issues
- Confidence-based filtering (only reports high-confidence issues ≥80)
**When triggered:**
- Automatically in Phase 6
- Can be invoked manually after writing code
**Output:**
- Critical issues (confidence 75-100)
- Important issues (confidence 50-74)
- Specific fixes with file:line references
- Project guideline references
## Usage Patterns
### Full workflow (recommended for new features):
```bash
/feature-dev Add rate limiting to API endpoints
```
Let the workflow guide you through all 7 phases.
### Manual agent invocation:
**Explore a feature:**
```
"Launch code-explorer to trace how authentication works"
```
**Design architecture:**
```
"Launch code-architect to design the caching layer"
```
**Review code:**
```
"Launch code-reviewer to check my recent changes"
```
## Best Practices
1. **Use the full workflow for complex features**: The 7 phases ensure thorough planning
2. **Answer clarifying questions thoughtfully**: Phase 3 prevents future confusion
3. **Choose architecture deliberately**: Phase 4 gives you options for a reason
4. **Don't skip code review**: Phase 6 catches issues before they reach production
5. **Read the suggested files**: Phase 2 identifies key files—read them to understand context
## When to Use This Plugin
**Use for:**
- New features that touch multiple files
- Features requiring architectural decisions
- Complex integrations with existing code
- Features where requirements are somewhat unclear
**Don't use for:**
- Single-line bug fixes
- Trivial changes
- Well-defined, simple tasks
- Urgent hotfixes
## Requirements
- Claude Code installed
- Git repository (for code review)
- Project with existing codebase (workflow assumes existing code to learn from)
## Troubleshooting
### Agents take too long
**Issue**: Code exploration or architecture agents are slow
**Solution**:
- This is normal for large codebases
- Agents run in parallel when possible
- The thoroughness pays off in better understanding
### Too many clarifying questions
**Issue**: Phase 3 asks too many questions
**Solution**:
- Be more specific in your initial feature request
- Provide context about constraints upfront
- Say "whatever you think is best" if truly no preference
### Architecture options overwhelming
**Issue**: Too many architecture options in Phase 4
**Solution**:
- Trust the recommendation—it's based on codebase analysis
- If still unsure, ask for more explanation
- Pick the pragmatic option when in doubt
## Tips
- **Be specific in your feature request**: More detail = fewer clarifying questions
- **Trust the process**: Each phase builds on the previous one
- **Review agent outputs**: Agents provide valuable insights about your codebase
- **Don't skip phases**: Each phase serves a purpose
- **Use for learning**: The exploration phase teaches you about your own codebase
## Author
Sid Bidasaria (sbidasaria@anthropic.com)
## Version
1.0.0

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---
name: code-architect
description: Designs feature architectures by analyzing existing codebase patterns and conventions, then providing comprehensive implementation blueprints with specific files to create/modify, component designs, data flows, and build sequences
tools: Glob, Grep, LS, Read, NotebookRead, WebFetch, TodoWrite, WebSearch, KillShell, BashOutput
model: sonnet
color: green
---
You are a senior software architect who delivers comprehensive, actionable architecture blueprints by deeply understanding codebases and making confident architectural decisions.
## Core Process
**1. Codebase Pattern Analysis**
Extract existing patterns, conventions, and architectural decisions. Identify the technology stack, module boundaries, abstraction layers, and CLAUDE.md guidelines. Find similar features to understand established approaches.
**2. Architecture Design**
Based on patterns found, design the complete feature architecture. Make decisive choices - pick one approach and commit. Ensure seamless integration with existing code. Design for testability, performance, and maintainability.
**3. Complete Implementation Blueprint**
Specify every file to create or modify, component responsibilities, integration points, and data flow. Break implementation into clear phases with specific tasks.
## Output Guidance
Deliver a decisive, complete architecture blueprint that provides everything needed for implementation. Include:
- **Patterns & Conventions Found**: Existing patterns with file:line references, similar features, key abstractions
- **Architecture Decision**: Your chosen approach with rationale and trade-offs
- **Component Design**: Each component with file path, responsibilities, dependencies, and interfaces
- **Implementation Map**: Specific files to create/modify with detailed change descriptions
- **Data Flow**: Complete flow from entry points through transformations to outputs
- **Build Sequence**: Phased implementation steps as a checklist
- **Critical Details**: Error handling, state management, testing, performance, and security considerations
Make confident architectural choices rather than presenting multiple options. Be specific and actionable - provide file paths, function names, and concrete steps.

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---
name: code-explorer
description: Deeply analyzes existing codebase features by tracing execution paths, mapping architecture layers, understanding patterns and abstractions, and documenting dependencies to inform new development
tools: Glob, Grep, LS, Read, NotebookRead, WebFetch, TodoWrite, WebSearch, KillShell, BashOutput
model: sonnet
color: yellow
---
You are an expert code analyst specializing in tracing and understanding feature implementations across codebases.
## Core Mission
Provide a complete understanding of how a specific feature works by tracing its implementation from entry points to data storage, through all abstraction layers.
## Analysis Approach
**1. Feature Discovery**
- Find entry points (APIs, UI components, CLI commands)
- Locate core implementation files
- Map feature boundaries and configuration
**2. Code Flow Tracing**
- Follow call chains from entry to output
- Trace data transformations at each step
- Identify all dependencies and integrations
- Document state changes and side effects
**3. Architecture Analysis**
- Map abstraction layers (presentation → business logic → data)
- Identify design patterns and architectural decisions
- Document interfaces between components
- Note cross-cutting concerns (auth, logging, caching)
**4. Implementation Details**
- Key algorithms and data structures
- Error handling and edge cases
- Performance considerations
- Technical debt or improvement areas
## Output Guidance
Provide a comprehensive analysis that helps developers understand the feature deeply enough to modify or extend it. Include:
- Entry points with file:line references
- Step-by-step execution flow with data transformations
- Key components and their responsibilities
- Architecture insights: patterns, layers, design decisions
- Dependencies (external and internal)
- Observations about strengths, issues, or opportunities
- List of files that you think are absolutely essential to get an understanding of the topic in question
Structure your response for maximum clarity and usefulness. Always include specific file paths and line numbers.

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---
name: code-reviewer
description: Reviews code for bugs, logic errors, security vulnerabilities, code quality issues, and adherence to project conventions, using confidence-based filtering to report only high-priority issues that truly matter
tools: Glob, Grep, LS, Read, NotebookRead, WebFetch, TodoWrite, WebSearch, KillShell, BashOutput
model: sonnet
color: red
---
You are an expert code reviewer specializing in modern software development across multiple languages and frameworks. Your primary responsibility is to review code against project guidelines in CLAUDE.md with high precision to minimize false positives.
## Review Scope
By default, review unstaged changes from `git diff`. The user may specify different files or scope to review.
## Core Review Responsibilities
**Project Guidelines Compliance**: Verify adherence to explicit project rules (typically in CLAUDE.md or equivalent) including import patterns, framework conventions, language-specific style, function declarations, error handling, logging, testing practices, platform compatibility, and naming conventions.
**Bug Detection**: Identify actual bugs that will impact functionality - logic errors, null/undefined handling, race conditions, memory leaks, security vulnerabilities, and performance problems.
**Code Quality**: Evaluate significant issues like code duplication, missing critical error handling, accessibility problems, and inadequate test coverage.
## Confidence Scoring
Rate each potential issue on a scale from 0-100:
- **0**: Not confident at all. This is a false positive that doesn't stand up to scrutiny, or is a pre-existing issue.
- **25**: Somewhat confident. This might be a real issue, but may also be a false positive. If stylistic, it wasn't explicitly called out in project guidelines.
- **50**: Moderately confident. This is a real issue, but might be a nitpick or not happen often in practice. Not very important relative to the rest of the changes.
- **75**: Highly confident. Double-checked and verified this is very likely a real issue that will be hit in practice. The existing approach is insufficient. Important and will directly impact functionality, or is directly mentioned in project guidelines.
- **100**: Absolutely certain. Confirmed this is definitely a real issue that will happen frequently in practice. The evidence directly confirms this.
**Only report issues with confidence ≥ 80.** Focus on issues that truly matter - quality over quantity.
## Output Guidance
Start by clearly stating what you're reviewing. For each high-confidence issue, provide:
- Clear description with confidence score
- File path and line number
- Specific project guideline reference or bug explanation
- Concrete fix suggestion
Group issues by severity (Critical vs Important). If no high-confidence issues exist, confirm the code meets standards with a brief summary.
Structure your response for maximum actionability - developers should know exactly what to fix and why.

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---
description: Guided feature development with codebase understanding and architecture focus
argument-hint: Optional feature description
---
# Feature Development
You are helping a developer implement a new feature. Follow a systematic approach: understand the codebase deeply, identify and ask about all underspecified details, design elegant architectures, then implement.
## Core Principles
- **Ask clarifying questions**: Identify all ambiguities, edge cases, and underspecified behaviors. Ask specific, concrete questions rather than making assumptions. Wait for user answers before proceeding with implementation. Ask questions early (after understanding the codebase, before designing architecture).
- **Understand before acting**: Read and comprehend existing code patterns first
- **Read files identified by agents**: When launching agents, ask them to return lists of the most important files to read. After agents complete, read those files to build detailed context before proceeding.
- **Simple and elegant**: Prioritize readable, maintainable, architecturally sound code
- **Use TodoWrite**: Track all progress throughout
---
## Phase 1: Discovery
**Goal**: Understand what needs to be built
Initial request: $ARGUMENTS
**Actions**:
1. Create todo list with all phases
2. If feature unclear, ask user for:
- What problem are they solving?
- What should the feature do?
- Any constraints or requirements?
3. Summarize understanding and confirm with user
---
## Phase 2: Codebase Exploration
**Goal**: Understand relevant existing code and patterns at both high and low levels
**Actions**:
1. Launch 2-3 code-explorer agents in parallel. Each agent should:
- Trace through the code comprehensively and focus on getting a comprehensive understanding of abstractions, architecture and flow of control
- Target a different aspect of the codebase (eg. similar features, high level understanding, architectural understanding, user experience, etc)
- Include a list of 5-10 key files to read
**Example agent prompts**:
- "Find features similar to [feature] and trace through their implementation comprehensively"
- "Map the architecture and abstractions for [feature area], tracing through the code comprehensively"
- "Analyze the current implementation of [existing feature/area], tracing through the code comprehensively"
- "Identify UI patterns, testing approaches, or extension points relevant to [feature]"
2. Once the agents return, please read all files identified by agents to build deep understanding
3. Present comprehensive summary of findings and patterns discovered
---
## Phase 3: Clarifying Questions
**Goal**: Fill in gaps and resolve all ambiguities before designing
**CRITICAL**: This is one of the most important phases. DO NOT SKIP.
**Actions**:
1. Review the codebase findings and original feature request
2. Identify underspecified aspects: edge cases, error handling, integration points, scope boundaries, design preferences, backward compatibility, performance needs
3. **Present all questions to the user in a clear, organized list**
4. **Wait for answers before proceeding to architecture design**
If the user says "whatever you think is best", provide your recommendation and get explicit confirmation.
---
## Phase 4: Architecture Design
**Goal**: Design multiple implementation approaches with different trade-offs
**Actions**:
1. Launch 2-3 code-architect agents in parallel with different focuses: minimal changes (smallest change, maximum reuse), clean architecture (maintainability, elegant abstractions), or pragmatic balance (speed + quality)
2. Review all approaches and form your opinion on which fits best for this specific task (consider: small fix vs large feature, urgency, complexity, team context)
3. Present to user: brief summary of each approach, trade-offs comparison, **your recommendation with reasoning**, concrete implementation differences
4. **Ask user which approach they prefer**
---
## Phase 5: Implementation
**Goal**: Build the feature
**DO NOT START WITHOUT USER APPROVAL**
**Actions**:
1. Wait for explicit user approval
2. Read all relevant files identified in previous phases
3. Implement following chosen architecture
4. Follow codebase conventions strictly
5. Write clean, well-documented code
6. Update todos as you progress
---
## Phase 6: Quality Review
**Goal**: Ensure code is simple, DRY, elegant, easy to read, and functionally correct
**Actions**:
1. Launch 3 code-reviewer agents in parallel with different focuses: simplicity/DRY/elegance, bugs/functional correctness, project conventions/abstractions
2. Consolidate findings and identify highest severity issues that you recommend fixing
3. **Present findings to user and ask what they want to do** (fix now, fix later, or proceed as-is)
4. Address issues based on user decision
---
## Phase 7: Summary
**Goal**: Document what was accomplished
**Actions**:
1. Mark all todos complete
2. Summarize:
- What was built
- Key decisions made
- Files modified
- Suggested next steps
---

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{
"name": "frontend-design",
"version": "1.0.0",
"description": "Frontend design skill for UI/UX implementation",
"author": {
"name": "Prithvi Rajasekaran, Alexander Bricken",
"email": "prithvi@anthropic.com, alexander@anthropic.com"
}
}

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# Frontend Design Plugin
Generates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics.
## What It Does
Claude automatically uses this skill for frontend work. Creates production-ready code with:
- Bold aesthetic choices
- Distinctive typography and color palettes
- High-impact animations and visual details
- Context-aware implementation
## Usage
```
"Create a dashboard for a music streaming app"
"Build a landing page for an AI security startup"
"Design a settings panel with dark mode"
```
Claude will choose a clear aesthetic direction and implement production code with meticulous attention to detail.
## Learn More
See the [Frontend Aesthetics Cookbook](https://github.com/anthropics/claude-cookbooks/blob/main/coding/prompting_for_frontend_aesthetics.ipynb) for detailed guidance on prompting for high-quality frontend design.
## Authors
Prithvi Rajasekaran (prithvi@anthropic.com)
Alexander Bricken (alexander@anthropic.com)

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---
name: frontend-design
description: Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
license: Complete terms in LICENSE.txt
---
This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.
The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints.
## Design Thinking
Before coding, understand the context and commit to a BOLD aesthetic direction:
- **Purpose**: What problem does this interface solve? Who uses it?
- **Tone**: Pick an extreme: brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian, etc. There are so many flavors to choose from. Use these for inspiration but design one that is true to the aesthetic direction.
- **Constraints**: Technical requirements (framework, performance, accessibility).
- **Differentiation**: What makes this UNFORGETTABLE? What's the one thing someone will remember?
**CRITICAL**: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work - the key is intentionality, not intensity.
Then implement working code (HTML/CSS/JS, React, Vue, etc.) that is:
- Production-grade and functional
- Visually striking and memorable
- Cohesive with a clear aesthetic point-of-view
- Meticulously refined in every detail
## Frontend Aesthetics Guidelines
Focus on:
- **Typography**: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the frontend's aesthetics; unexpected, characterful font choices. Pair a distinctive display font with a refined body font.
- **Color & Theme**: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes.
- **Motion**: Use animations for effects and micro-interactions. Prioritize CSS-only solutions for HTML. Use Motion library for React when available. Focus on high-impact moments: one well-orchestrated page load with staggered reveals (animation-delay) creates more delight than scattered micro-interactions. Use scroll-triggering and hover states that surprise.
- **Spatial Composition**: Unexpected layouts. Asymmetry. Overlap. Diagonal flow. Grid-breaking elements. Generous negative space OR controlled density.
- **Backgrounds & Visual Details**: Create atmosphere and depth rather than defaulting to solid colors. Add contextual effects and textures that match the overall aesthetic. Apply creative forms like gradient meshes, noise textures, geometric patterns, layered transparencies, dramatic shadows, decorative borders, custom cursors, and grain overlays.
NEVER use generic AI-generated aesthetics like overused font families (Inter, Roboto, Arial, system fonts), cliched color schemes (particularly purple gradients on white backgrounds), predictable layouts and component patterns, and cookie-cutter design that lacks context-specific character.
Interpret creatively and make unexpected choices that feel genuinely designed for the context. No design should be the same. Vary between light and dark themes, different fonts, different aesthetics. NEVER converge on common choices (Space Grotesk, for example) across generations.
**IMPORTANT**: Match implementation complexity to the aesthetic vision. Maximalist designs need elaborate code with extensive animations and effects. Minimalist or refined designs need restraint, precision, and careful attention to spacing, typography, and subtle details. Elegance comes from executing the vision well.
Remember: Claude is capable of extraordinary creative work. Don't hold back, show what can truly be created when thinking outside the box and committing fully to a distinctive vision.

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{
"name": "hookify",
"version": "0.1.0",
"description": "Easily create hooks to prevent unwanted behaviors by analyzing conversation patterns",
"author": {
"name": "Daisy Hollman",
"email": "daisy@anthropic.com"
}
}

30
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# Python
__pycache__/
*.py[cod]
*$py.class
*.so
.Python
# Virtual environments
venv/
env/
ENV/
# IDE
.vscode/
.idea/
*.swp
*.swo
# OS
.DS_Store
Thumbs.db
# Testing
.pytest_cache/
.coverage
htmlcov/
# Local configuration (should not be committed)
.claude/*.local.md
.claude/*.local.json

340
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# Hookify Plugin
Easily create custom hooks to prevent unwanted behaviors by analyzing conversation patterns or from explicit instructions.
## Overview
The hookify plugin makes it simple to create hooks without editing complex `hooks.json` files. Instead, you create lightweight markdown configuration files that define patterns to watch for and messages to show when those patterns match.
**Key features:**
- 🎯 Analyze conversations to find unwanted behaviors automatically
- 📝 Simple markdown configuration files with YAML frontmatter
- 🔍 Regex pattern matching for powerful rules
- 🚀 No coding required - just describe the behavior
- 🔄 Easy enable/disable without restarting
## Quick Start
### 1. Create Your First Rule
```bash
/hookify Warn me when I use rm -rf commands
```
This analyzes your request and creates `.claude/hookify.warn-rm.local.md`.
### 2. Test It Immediately
**No restart needed!** Rules take effect on the very next tool use.
Ask Claude to run a command that should trigger the rule:
```
Run rm -rf /tmp/test
```
You should see the warning message immediately!
## Usage
### Main Command: /hookify
**With arguments:**
```
/hookify Don't use console.log in TypeScript files
```
Creates a rule from your explicit instructions.
**Without arguments:**
```
/hookify
```
Analyzes recent conversation to find behaviors you've corrected or been frustrated by.
### Helper Commands
**List all rules:**
```
/hookify:list
```
**Configure rules interactively:**
```
/hookify:configure
```
Enable/disable existing rules through an interactive interface.
**Get help:**
```
/hookify:help
```
## Rule Configuration Format
### Simple Rule (Single Pattern)
`.claude/hookify.dangerous-rm.local.md`:
```markdown
---
name: block-dangerous-rm
enabled: true
event: bash
pattern: rm\s+-rf
action: block
---
⚠️ **Dangerous rm command detected!**
This command could delete important files. Please:
- Verify the path is correct
- Consider using a safer approach
- Make sure you have backups
```
**Action field:**
- `warn`: Shows warning but allows operation (default)
- `block`: Prevents operation from executing (PreToolUse) or stops session (Stop events)
### Advanced Rule (Multiple Conditions)
`.claude/hookify.sensitive-files.local.md`:
```markdown
---
name: warn-sensitive-files
enabled: true
event: file
action: warn
conditions:
- field: file_path
operator: regex_match
pattern: \.env$|credentials|secrets
- field: new_text
operator: contains
pattern: KEY
---
🔐 **Sensitive file edit detected!**
Ensure credentials are not hardcoded and file is in .gitignore.
```
**All conditions must match** for the rule to trigger.
## Event Types
- **`bash`**: Triggers on Bash tool commands
- **`file`**: Triggers on Edit, Write, MultiEdit tools
- **`stop`**: Triggers when Claude wants to stop (for completion checks)
- **`prompt`**: Triggers on user prompt submission
- **`all`**: Triggers on all events
## Pattern Syntax
Use Python regex syntax:
| Pattern | Matches | Example |
|---------|---------|---------|
| `rm\s+-rf` | rm -rf | rm -rf /tmp |
| `console\.log\(` | console.log( | console.log("test") |
| `(eval\|exec)\(` | eval( or exec( | eval("code") |
| `\.env$` | files ending in .env | .env, .env.local |
| `chmod\s+777` | chmod 777 | chmod 777 file.txt |
**Tips:**
- Use `\s` for whitespace
- Escape special chars: `\.` for literal dot
- Use `|` for OR: `(foo|bar)`
- Use `.*` to match anything
- Set `action: block` for dangerous operations
- Set `action: warn` (or omit) for informational warnings
## Examples
### Example 1: Block Dangerous Commands
```markdown
---
name: block-destructive-ops
enabled: true
event: bash
pattern: rm\s+-rf|dd\s+if=|mkfs|format
action: block
---
🛑 **Destructive operation detected!**
This command can cause data loss. Operation blocked for safety.
Please verify the exact path and use a safer approach.
```
**This rule blocks the operation** - Claude will not be allowed to execute these commands.
### Example 2: Warn About Debug Code
```markdown
---
name: warn-debug-code
enabled: true
event: file
pattern: console\.log\(|debugger;|print\(
action: warn
---
🐛 **Debug code detected**
Remember to remove debugging statements before committing.
```
**This rule warns but allows** - Claude sees the message but can still proceed.
### Example 3: Require Tests Before Stopping
```markdown
---
name: require-tests-run
enabled: false
event: stop
action: block
conditions:
- field: transcript
operator: not_contains
pattern: npm test|pytest|cargo test
---
**Tests not detected in transcript!**
Before stopping, please run tests to verify your changes work correctly.
```
**This blocks Claude from stopping** if no test commands appear in the session transcript. Enable only when you want strict enforcement.
## Advanced Usage
### Multiple Conditions
Check multiple fields simultaneously:
```markdown
---
name: api-key-in-typescript
enabled: true
event: file
conditions:
- field: file_path
operator: regex_match
pattern: \.tsx?$
- field: new_text
operator: regex_match
pattern: (API_KEY|SECRET|TOKEN)\s*=\s*["']
---
🔐 **Hardcoded credential in TypeScript!**
Use environment variables instead of hardcoded values.
```
### Operators Reference
- `regex_match`: Pattern must match (most common)
- `contains`: String must contain pattern
- `equals`: Exact string match
- `not_contains`: String must NOT contain pattern
- `starts_with`: String starts with pattern
- `ends_with`: String ends with pattern
### Field Reference
**For bash events:**
- `command`: The bash command string
**For file events:**
- `file_path`: Path to file being edited
- `new_text`: New content being added (Edit, Write)
- `old_text`: Old content being replaced (Edit only)
- `content`: File content (Write only)
**For prompt events:**
- `user_prompt`: The user's submitted prompt text
**For stop events:**
- Use general matching on session state
## Management
### Enable/Disable Rules
**Temporarily disable:**
Edit the `.local.md` file and set `enabled: false`
**Re-enable:**
Set `enabled: true`
**Or use interactive tool:**
```
/hookify:configure
```
### Delete Rules
Simply delete the `.local.md` file:
```bash
rm .claude/hookify.my-rule.local.md
```
### View All Rules
```
/hookify:list
```
## Installation
This plugin is part of the Claude Code Marketplace. It should be auto-discovered when the marketplace is installed.
**Manual testing:**
```bash
cc --plugin-dir /path/to/hookify
```
## Requirements
- Python 3.7+
- No external dependencies (uses stdlib only)
## Troubleshooting
**Rule not triggering:**
1. Check rule file exists in `.claude/` directory (in project root, not plugin directory)
2. Verify `enabled: true` in frontmatter
3. Test regex pattern separately
4. Rules should work immediately - no restart needed
5. Try `/hookify:list` to see if rule is loaded
**Import errors:**
- Ensure Python 3 is available: `python3 --version`
- Check hookify plugin is installed
**Pattern not matching:**
- Test regex: `python3 -c "import re; print(re.search(r'pattern', 'text'))"`
- Use unquoted patterns in YAML to avoid escaping issues
- Start simple, then add complexity
**Hook seems slow:**
- Keep patterns simple (avoid complex regex)
- Use specific event types (bash, file) instead of "all"
- Limit number of active rules
## Contributing
Found a useful rule pattern? Consider sharing example files via PR!
## Future Enhancements
- Severity levels (error/warning/info distinctions)
- Rule templates library
- Interactive pattern builder
- Hook testing utilities
- JSON format support (in addition to markdown)
## License
MIT License

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---
name: conversation-analyzer
description: Use this agent when analyzing conversation transcripts to find behaviors worth preventing with hooks. Examples: <example>Context: User is running /hookify command without arguments\nuser: "/hookify"\nassistant: "I'll analyze the conversation to find behaviors you want to prevent"\n<commentary>The /hookify command without arguments triggers conversation analysis to find unwanted behaviors.</commentary></example><example>Context: User wants to create hooks from recent frustrations\nuser: "Can you look back at this conversation and help me create hooks for the mistakes you made?"\nassistant: "I'll use the conversation-analyzer agent to identify the issues and suggest hooks."\n<commentary>User explicitly asks to analyze conversation for mistakes that should be prevented.</commentary></example>
model: inherit
color: yellow
tools: ["Read", "Grep"]
---
You are a conversation analysis specialist that identifies problematic behaviors in Claude Code sessions that could be prevented with hooks.
**Your Core Responsibilities:**
1. Read and analyze user messages to find frustration signals
2. Identify specific tool usage patterns that caused issues
3. Extract actionable patterns that can be matched with regex
4. Categorize issues by severity and type
5. Provide structured findings for hook rule generation
**Analysis Process:**
### 1. Search for User Messages Indicating Issues
Read through user messages in reverse chronological order (most recent first). Look for:
**Explicit correction requests:**
- "Don't use X"
- "Stop doing Y"
- "Please don't Z"
- "Avoid..."
- "Never..."
**Frustrated reactions:**
- "Why did you do X?"
- "I didn't ask for that"
- "That's not what I meant"
- "That was wrong"
**Corrections and reversions:**
- User reverting changes Claude made
- User fixing issues Claude created
- User providing step-by-step corrections
**Repeated issues:**
- Same type of mistake multiple times
- User having to remind multiple times
- Pattern of similar problems
### 2. Identify Tool Usage Patterns
For each issue, determine:
- **Which tool**: Bash, Edit, Write, MultiEdit
- **What action**: Specific command or code pattern
- **When it happened**: During what task/phase
- **Why problematic**: User's stated reason or implicit concern
**Extract concrete examples:**
- For Bash: Actual command that was problematic
- For Edit/Write: Code pattern that was added
- For Stop: What was missing before stopping
### 3. Create Regex Patterns
Convert behaviors into matchable patterns:
**Bash command patterns:**
- `rm\s+-rf` for dangerous deletes
- `sudo\s+` for privilege escalation
- `chmod\s+777` for permission issues
**Code patterns (Edit/Write):**
- `console\.log\(` for debug logging
- `eval\(|new Function\(` for dangerous eval
- `innerHTML\s*=` for XSS risks
**File path patterns:**
- `\.env$` for environment files
- `/node_modules/` for dependency files
- `dist/|build/` for generated files
### 4. Categorize Severity
**High severity (should block in future):**
- Dangerous commands (rm -rf, chmod 777)
- Security issues (hardcoded secrets, eval)
- Data loss risks
**Medium severity (warn):**
- Style violations (console.log in production)
- Wrong file types (editing generated files)
- Missing best practices
**Low severity (optional):**
- Preferences (coding style)
- Non-critical patterns
### 5. Output Format
Return your findings as structured text in this format:
```
## Hookify Analysis Results
### Issue 1: Dangerous rm Commands
**Severity**: High
**Tool**: Bash
**Pattern**: `rm\s+-rf`
**Occurrences**: 3 times
**Context**: Used rm -rf on /tmp directories without verification
**User Reaction**: "Please be more careful with rm commands"
**Suggested Rule:**
- Name: warn-dangerous-rm
- Event: bash
- Pattern: rm\s+-rf
- Message: "Dangerous rm command detected. Verify path before proceeding."
---
### Issue 2: Console.log in TypeScript
**Severity**: Medium
**Tool**: Edit/Write
**Pattern**: `console\.log\(`
**Occurrences**: 2 times
**Context**: Added console.log statements to production TypeScript files
**User Reaction**: "Don't use console.log in production code"
**Suggested Rule:**
- Name: warn-console-log
- Event: file
- Pattern: console\.log\(
- Message: "Console.log detected. Use proper logging library instead."
---
[Continue for each issue found...]
## Summary
Found {N} behaviors worth preventing:
- {N} high severity
- {N} medium severity
- {N} low severity
Recommend creating rules for high and medium severity issues.
```
**Quality Standards:**
- Be specific about patterns (don't be overly broad)
- Include actual examples from conversation
- Explain why each issue matters
- Provide ready-to-use regex patterns
- Don't false-positive on discussions about what NOT to do
**Edge Cases:**
**User discussing hypotheticals:**
- "What would happen if I used rm -rf?"
- Don't treat as problematic behavior
**Teaching moments:**
- "Here's what you shouldn't do: ..."
- Context indicates explanation, not actual problem
**One-time accidents:**
- Single occurrence, already fixed
- Mention but mark as low priority
**Subjective preferences:**
- "I prefer X over Y"
- Mark as low severity, let user decide
**Return Results:**
Provide your analysis in the structured format above. The /hookify command will use this to:
1. Present findings to user
2. Ask which rules to create
3. Generate .local.md configuration files
4. Save rules to .claude directory

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---
description: Enable or disable hookify rules interactively
allowed-tools: ["Glob", "Read", "Edit", "AskUserQuestion", "Skill"]
---
# Configure Hookify Rules
**Load hookify:writing-rules skill first** to understand rule format.
Enable or disable existing hookify rules using an interactive interface.
## Steps
### 1. Find Existing Rules
Use Glob tool to find all hookify rule files:
```
pattern: ".claude/hookify.*.local.md"
```
If no rules found, inform user:
```
No hookify rules configured yet. Use `/hookify` to create your first rule.
```
### 2. Read Current State
For each rule file:
- Read the file
- Extract `name` and `enabled` fields from frontmatter
- Build list of rules with current state
### 3. Ask User Which Rules to Toggle
Use AskUserQuestion to let user select rules:
```json
{
"questions": [
{
"question": "Which rules would you like to enable or disable?",
"header": "Configure",
"multiSelect": true,
"options": [
{
"label": "warn-dangerous-rm (currently enabled)",
"description": "Warns about rm -rf commands"
},
{
"label": "warn-console-log (currently disabled)",
"description": "Warns about console.log in code"
},
{
"label": "require-tests (currently enabled)",
"description": "Requires tests before stopping"
}
]
}
]
}
```
**Option format:**
- Label: `{rule-name} (currently {enabled|disabled})`
- Description: Brief description from rule's message or pattern
### 4. Parse User Selection
For each selected rule:
- Determine current state from label (enabled/disabled)
- Toggle state: enabled → disabled, disabled → enabled
### 5. Update Rule Files
For each rule to toggle:
- Use Read tool to read current content
- Use Edit tool to change `enabled: true` to `enabled: false` (or vice versa)
- Handle both with and without quotes
**Edit pattern for enabling:**
```
old_string: "enabled: false"
new_string: "enabled: true"
```
**Edit pattern for disabling:**
```
old_string: "enabled: true"
new_string: "enabled: false"
```
### 6. Confirm Changes
Show user what was changed:
```
## Hookify Rules Updated
**Enabled:**
- warn-console-log
**Disabled:**
- warn-dangerous-rm
**Unchanged:**
- require-tests
Changes apply immediately - no restart needed
```
## Important Notes
- Changes take effect immediately on next tool use
- You can also manually edit .claude/hookify.*.local.md files
- To permanently remove a rule, delete its .local.md file
- Use `/hookify:list` to see all configured rules
## Edge Cases
**No rules to configure:**
- Show message about using `/hookify` to create rules first
**User selects no rules:**
- Inform that no changes were made
**File read/write errors:**
- Inform user of specific error
- Suggest manual editing as fallback

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---
description: Get help with the hookify plugin
allowed-tools: ["Read"]
---
# Hookify Plugin Help
Explain how the hookify plugin works and how to use it.
## Overview
The hookify plugin makes it easy to create custom hooks that prevent unwanted behaviors. Instead of editing `hooks.json` files, users create simple markdown configuration files that define patterns to watch for.
## How It Works
### 1. Hook System
Hookify installs generic hooks that run on these events:
- **PreToolUse**: Before any tool executes (Bash, Edit, Write, etc.)
- **PostToolUse**: After a tool executes
- **Stop**: When Claude wants to stop working
- **UserPromptSubmit**: When user submits a prompt
These hooks read configuration files from `.claude/hookify.*.local.md` and check if any rules match the current operation.
### 2. Configuration Files
Users create rules in `.claude/hookify.{rule-name}.local.md` files:
```markdown
---
name: warn-dangerous-rm
enabled: true
event: bash
pattern: rm\s+-rf
---
⚠️ **Dangerous rm command detected!**
This command could delete important files. Please verify the path.
```
**Key fields:**
- `name`: Unique identifier for the rule
- `enabled`: true/false to activate/deactivate
- `event`: bash, file, stop, prompt, or all
- `pattern`: Regex pattern to match
The message body is what Claude sees when the rule triggers.
### 3. Creating Rules
**Option A: Use /hookify command**
```
/hookify Don't use console.log in production files
```
This analyzes your request and creates the appropriate rule file.
**Option B: Create manually**
Create `.claude/hookify.my-rule.local.md` with the format above.
**Option C: Analyze conversation**
```
/hookify
```
Without arguments, hookify analyzes recent conversation to find behaviors you want to prevent.
## Available Commands
- **`/hookify`** - Create hooks from conversation analysis or explicit instructions
- **`/hookify:help`** - Show this help (what you're reading now)
- **`/hookify:list`** - List all configured hooks
- **`/hookify:configure`** - Enable/disable existing hooks interactively
## Example Use Cases
**Prevent dangerous commands:**
```markdown
---
name: block-chmod-777
enabled: true
event: bash
pattern: chmod\s+777
---
Don't use chmod 777 - it's a security risk. Use specific permissions instead.
```
**Warn about debugging code:**
```markdown
---
name: warn-console-log
enabled: true
event: file
pattern: console\.log\(
---
Console.log detected. Remember to remove debug logging before committing.
```
**Require tests before stopping:**
```markdown
---
name: require-tests
enabled: true
event: stop
pattern: .*
---
Did you run tests before finishing? Make sure `npm test` or equivalent was executed.
```
## Pattern Syntax
Use Python regex syntax:
- `\s` - whitespace
- `\.` - literal dot
- `|` - OR
- `+` - one or more
- `*` - zero or more
- `\d` - digit
- `[abc]` - character class
**Examples:**
- `rm\s+-rf` - matches "rm -rf"
- `console\.log\(` - matches "console.log("
- `(eval|exec)\(` - matches "eval(" or "exec("
- `\.env$` - matches files ending in .env
## Important Notes
**No Restart Needed**: Hookify rules (`.local.md` files) take effect immediately on the next tool use. The hookify hooks are already loaded and read your rules dynamically.
**Block or Warn**: Rules can either `block` operations (prevent execution) or `warn` (show message but allow). Set `action: block` or `action: warn` in the rule's frontmatter.
**Rule Files**: Keep rules in `.claude/hookify.*.local.md` - they should be git-ignored (add to .gitignore if needed).
**Disable Rules**: Set `enabled: false` in frontmatter or delete the file.
## Troubleshooting
**Hook not triggering:**
- Check rule file is in `.claude/` directory
- Verify `enabled: true` in frontmatter
- Confirm pattern is valid regex
- Test pattern: `python3 -c "import re; print(re.search('your_pattern', 'test_text'))"`
- Rules take effect immediately - no restart needed
**Import errors:**
- Check Python 3 is available: `python3 --version`
- Verify hookify plugin is installed correctly
**Pattern not matching:**
- Test regex separately
- Check for escaping issues (use unquoted patterns in YAML)
- Try simpler pattern first, then refine
## Getting Started
1. Create your first rule:
```
/hookify Warn me when I try to use rm -rf
```
2. Try to trigger it:
- Ask Claude to run `rm -rf /tmp/test`
- You should see the warning
4. Refine the rule by editing `.claude/hookify.warn-rm.local.md`
5. Create more rules as you encounter unwanted behaviors
For more examples, check the `${CLAUDE_PLUGIN_ROOT}/examples/` directory.

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---
description: Create hooks to prevent unwanted behaviors from conversation analysis or explicit instructions
argument-hint: Optional specific behavior to address
allowed-tools: ["Read", "Write", "AskUserQuestion", "Task", "Grep", "TodoWrite", "Skill"]
---
# Hookify - Create Hooks from Unwanted Behaviors
**FIRST: Load the hookify:writing-rules skill** using the Skill tool to understand rule file format and syntax.
Create hook rules to prevent problematic behaviors by analyzing the conversation or from explicit user instructions.
## Your Task
You will help the user create hookify rules to prevent unwanted behaviors. Follow these steps:
### Step 1: Gather Behavior Information
**If $ARGUMENTS is provided:**
- User has given specific instructions: `$ARGUMENTS`
- Still analyze recent conversation (last 10-15 user messages) for additional context
- Look for examples of the behavior happening
**If $ARGUMENTS is empty:**
- Launch the conversation-analyzer agent to find problematic behaviors
- Agent will scan user prompts for frustration signals
- Agent will return structured findings
**To analyze conversation:**
Use the Task tool to launch conversation-analyzer agent:
```
{
"subagent_type": "general-purpose",
"description": "Analyze conversation for unwanted behaviors",
"prompt": "You are analyzing a Claude Code conversation to find behaviors the user wants to prevent.
Read user messages in the current conversation and identify:
1. Explicit requests to avoid something (\"don't do X\", \"stop doing Y\")
2. Corrections or reversions (user fixing Claude's actions)
3. Frustrated reactions (\"why did you do X?\", \"I didn't ask for that\")
4. Repeated issues (same problem multiple times)
For each issue found, extract:
- What tool was used (Bash, Edit, Write, etc.)
- Specific pattern or command
- Why it was problematic
- User's stated reason
Return findings as a structured list with:
- category: Type of issue
- tool: Which tool was involved
- pattern: Regex or literal pattern to match
- context: What happened
- severity: high/medium/low
Focus on the most recent issues (last 20-30 messages). Don't go back further unless explicitly asked."
}
```
### Step 2: Present Findings to User
After gathering behaviors (from arguments or agent), present to user using AskUserQuestion:
**Question 1: Which behaviors to hookify?**
- Header: "Create Rules"
- multiSelect: true
- Options: List each detected behavior (max 4)
- Label: Short description (e.g., "Block rm -rf")
- Description: Why it's problematic
**Question 2: For each selected behavior, ask about action:**
- "Should this block the operation or just warn?"
- Options:
- "Just warn" (action: warn - shows message but allows)
- "Block operation" (action: block - prevents execution)
**Question 3: Ask for example patterns:**
- "What patterns should trigger this rule?"
- Show detected patterns
- Allow user to refine or add more
### Step 3: Generate Rule Files
For each confirmed behavior, create a `.claude/hookify.{rule-name}.local.md` file:
**Rule naming convention:**
- Use kebab-case
- Be descriptive: `block-dangerous-rm`, `warn-console-log`, `require-tests-before-stop`
- Start with action verb: block, warn, prevent, require
**File format:**
```markdown
---
name: {rule-name}
enabled: true
event: {bash|file|stop|prompt|all}
pattern: {regex pattern}
action: {warn|block}
---
{Message to show Claude when rule triggers}
```
**Action values:**
- `warn`: Show message but allow operation (default)
- `block`: Prevent operation or stop session
**For more complex rules (multiple conditions):**
```markdown
---
name: {rule-name}
enabled: true
event: file
conditions:
- field: file_path
operator: regex_match
pattern: \.env$
- field: new_text
operator: contains
pattern: API_KEY
---
{Warning message}
```
### Step 4: Create Files and Confirm
**IMPORTANT**: Rule files must be created in the current working directory's `.claude/` folder, NOT the plugin directory.
Use the current working directory (where Claude Code was started) as the base path.
1. Check if `.claude/` directory exists in current working directory
- If not, create it first with: `mkdir -p .claude`
2. Use Write tool to create each `.claude/hookify.{name}.local.md` file
- Use relative path from current working directory: `.claude/hookify.{name}.local.md`
- The path should resolve to the project's .claude directory, not the plugin's
3. Show user what was created:
```
Created 3 hookify rules:
- .claude/hookify.dangerous-rm.local.md
- .claude/hookify.console-log.local.md
- .claude/hookify.sensitive-files.local.md
These rules will trigger on:
- dangerous-rm: Bash commands matching "rm -rf"
- console-log: Edits adding console.log statements
- sensitive-files: Edits to .env or credentials files
```
4. Verify files were created in the correct location by listing them
5. Inform user: **"Rules are active immediately - no restart needed!"**
The hookify hooks are already loaded and will read your new rules on the next tool use.
## Event Types Reference
- **bash**: Matches Bash tool commands
- **file**: Matches Edit, Write, MultiEdit tools
- **stop**: Matches when agent wants to stop (use for completion checks)
- **prompt**: Matches when user submits prompts
- **all**: Matches all events
## Pattern Writing Tips
**Bash patterns:**
- Match dangerous commands: `rm\s+-rf|chmod\s+777|dd\s+if=`
- Match specific tools: `npm\s+install\s+|pip\s+install`
**File patterns:**
- Match code patterns: `console\.log\(|eval\(|innerHTML\s*=`
- Match file paths: `\.env$|\.git/|node_modules/`
**Stop patterns:**
- Check for missing steps: (check transcript or completion criteria)
## Example Workflow
**User says**: "/hookify Don't use rm -rf without asking me first"
**Your response**:
1. Analyze: User wants to prevent rm -rf commands
2. Ask: "Should I block this command or just warn you?"
3. User selects: "Just warn"
4. Create `.claude/hookify.dangerous-rm.local.md`:
```markdown
---
name: warn-dangerous-rm
enabled: true
event: bash
pattern: rm\s+-rf
---
⚠️ **Dangerous rm command detected**
You requested to be warned before using rm -rf.
Please verify the path is correct.
```
5. Confirm: "Created hookify rule. It's active immediately - try triggering it!"
## Important Notes
- **No restart needed**: Rules take effect immediately on the next tool use
- **File location**: Create files in project's `.claude/` directory (current working directory), NOT the plugin's .claude/
- **Regex syntax**: Use Python regex syntax (raw strings, no need to escape in YAML)
- **Action types**: Rules can `warn` (default) or `block` operations
- **Testing**: Test rules immediately after creating them
## Troubleshooting
**If rule file creation fails:**
1. Check current working directory with pwd
2. Ensure `.claude/` directory exists (create with mkdir if needed)
3. Use absolute path if needed: `{cwd}/.claude/hookify.{name}.local.md`
4. Verify file was created with Glob or ls
**If rule doesn't trigger after creation:**
1. Verify file is in project `.claude/` not plugin `.claude/`
2. Check file with Read tool to ensure pattern is correct
3. Test pattern with: `python3 -c "import re; print(re.search(r'pattern', 'test text'))"`
4. Verify `enabled: true` in frontmatter
5. Remember: Rules work immediately, no restart needed
**If blocking seems too strict:**
1. Change `action: block` to `action: warn` in the rule file
2. Or adjust the pattern to be more specific
3. Changes take effect on next tool use
Use TodoWrite to track your progress through the steps.

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@@ -0,0 +1,82 @@
---
description: List all configured hookify rules
allowed-tools: ["Glob", "Read", "Skill"]
---
# List Hookify Rules
**Load hookify:writing-rules skill first** to understand rule format.
Show all configured hookify rules in the project.
## Steps
1. Use Glob tool to find all hookify rule files:
```
pattern: ".claude/hookify.*.local.md"
```
2. For each file found:
- Use Read tool to read the file
- Extract frontmatter fields: name, enabled, event, pattern
- Extract message preview (first 100 chars)
3. Present results in a table:
```
## Configured Hookify Rules
| Name | Enabled | Event | Pattern | File |
|------|---------|-------|---------|------|
| warn-dangerous-rm | ✅ Yes | bash | rm\s+-rf | hookify.dangerous-rm.local.md |
| warn-console-log | ✅ Yes | file | console\.log\( | hookify.console-log.local.md |
| check-tests | ❌ No | stop | .* | hookify.require-tests.local.md |
**Total**: 3 rules (2 enabled, 1 disabled)
```
4. For each rule, show a brief preview:
```
### warn-dangerous-rm
**Event**: bash
**Pattern**: `rm\s+-rf`
**Message**: "⚠️ **Dangerous rm command detected!** This command could delete..."
**Status**: ✅ Active
**File**: .claude/hookify.dangerous-rm.local.md
```
5. Add helpful footer:
```
---
To modify a rule: Edit the .local.md file directly
To disable a rule: Set `enabled: false` in frontmatter
To enable a rule: Set `enabled: true` in frontmatter
To delete a rule: Remove the .local.md file
To create a rule: Use `/hookify` command
**Remember**: Changes take effect immediately - no restart needed
```
## If No Rules Found
If no hookify rules exist:
```
## No Hookify Rules Configured
You haven't created any hookify rules yet.
To get started:
1. Use `/hookify` to analyze conversation and create rules
2. Or manually create `.claude/hookify.my-rule.local.md` files
3. See `/hookify:help` for documentation
Example:
```
/hookify Warn me when I use console.log
```
Check `${CLAUDE_PLUGIN_ROOT}/examples/` for example rule files.
```

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#!/usr/bin/env python3
"""Configuration loader for hookify plugin.
Loads and parses .claude/hookify.*.local.md files.
"""
import os
import sys
import glob
import re
from typing import List, Optional, Dict, Any
from dataclasses import dataclass, field
@dataclass
class Condition:
"""A single condition for matching."""
field: str # "command", "new_text", "old_text", "file_path", etc.
operator: str # "regex_match", "contains", "equals", etc.
pattern: str # Pattern to match
@classmethod
def from_dict(cls, data: Dict[str, Any]) -> 'Condition':
"""Create Condition from dict."""
return cls(
field=data.get('field', ''),
operator=data.get('operator', 'regex_match'),
pattern=data.get('pattern', '')
)
@dataclass
class Rule:
"""A hookify rule."""
name: str
enabled: bool
event: str # "bash", "file", "stop", "all", etc.
pattern: Optional[str] = None # Simple pattern (legacy)
conditions: List[Condition] = field(default_factory=list)
action: str = "warn" # "warn" or "block" (future)
tool_matcher: Optional[str] = None # Override tool matching
message: str = "" # Message body from markdown
@classmethod
def from_dict(cls, frontmatter: Dict[str, Any], message: str) -> 'Rule':
"""Create Rule from frontmatter dict and message body."""
# Handle both simple pattern and complex conditions
conditions = []
# New style: explicit conditions list
if 'conditions' in frontmatter:
cond_list = frontmatter['conditions']
if isinstance(cond_list, list):
conditions = [Condition.from_dict(c) for c in cond_list]
# Legacy style: simple pattern field
simple_pattern = frontmatter.get('pattern')
if simple_pattern and not conditions:
# Convert simple pattern to condition
# Infer field from event
event = frontmatter.get('event', 'all')
if event == 'bash':
field = 'command'
elif event == 'file':
field = 'new_text'
else:
field = 'content'
conditions = [Condition(
field=field,
operator='regex_match',
pattern=simple_pattern
)]
return cls(
name=frontmatter.get('name', 'unnamed'),
enabled=frontmatter.get('enabled', True),
event=frontmatter.get('event', 'all'),
pattern=simple_pattern,
conditions=conditions,
action=frontmatter.get('action', 'warn'),
tool_matcher=frontmatter.get('tool_matcher'),
message=message.strip()
)
def extract_frontmatter(content: str) -> tuple[Dict[str, Any], str]:
"""Extract YAML frontmatter and message body from markdown.
Returns (frontmatter_dict, message_body).
Supports multi-line dictionary items in lists by preserving indentation.
"""
if not content.startswith('---'):
return {}, content
# Split on --- markers
parts = content.split('---', 2)
if len(parts) < 3:
return {}, content
frontmatter_text = parts[1]
message = parts[2].strip()
# Simple YAML parser that handles indented list items
frontmatter = {}
lines = frontmatter_text.split('\n')
current_key = None
current_list = []
current_dict = {}
in_list = False
in_dict_item = False
for line in lines:
# Skip empty lines and comments
stripped = line.strip()
if not stripped or stripped.startswith('#'):
continue
# Check indentation level
indent = len(line) - len(line.lstrip())
# Top-level key (no indentation or minimal)
if indent == 0 and ':' in line and not line.strip().startswith('-'):
# Save previous list/dict if any
if in_list and current_key:
if in_dict_item and current_dict:
current_list.append(current_dict)
current_dict = {}
frontmatter[current_key] = current_list
in_list = False
in_dict_item = False
current_list = []
key, value = line.split(':', 1)
key = key.strip()
value = value.strip()
if not value:
# Empty value - list or nested structure follows
current_key = key
in_list = True
current_list = []
else:
# Simple key-value pair
value = value.strip('"').strip("'")
if value.lower() == 'true':
value = True
elif value.lower() == 'false':
value = False
frontmatter[key] = value
# List item (starts with -)
elif stripped.startswith('-') and in_list:
# Save previous dict item if any
if in_dict_item and current_dict:
current_list.append(current_dict)
current_dict = {}
item_text = stripped[1:].strip()
# Check if this is an inline dict (key: value on same line)
if ':' in item_text and ',' in item_text:
# Inline comma-separated dict: "- field: command, operator: regex_match"
item_dict = {}
for part in item_text.split(','):
if ':' in part:
k, v = part.split(':', 1)
item_dict[k.strip()] = v.strip().strip('"').strip("'")
current_list.append(item_dict)
in_dict_item = False
elif ':' in item_text:
# Start of multi-line dict item: "- field: command"
in_dict_item = True
k, v = item_text.split(':', 1)
current_dict = {k.strip(): v.strip().strip('"').strip("'")}
else:
# Simple list item
current_list.append(item_text.strip('"').strip("'"))
in_dict_item = False
# Continuation of dict item (indented under list item)
elif indent > 2 and in_dict_item and ':' in line:
# This is a field of the current dict item
k, v = stripped.split(':', 1)
current_dict[k.strip()] = v.strip().strip('"').strip("'")
# Save final list/dict if any
if in_list and current_key:
if in_dict_item and current_dict:
current_list.append(current_dict)
frontmatter[current_key] = current_list
return frontmatter, message
def load_rules(event: Optional[str] = None) -> List[Rule]:
"""Load all hookify rules from .claude directory.
Args:
event: Optional event filter ("bash", "file", "stop", etc.)
Returns:
List of enabled Rule objects matching the event.
"""
rules = []
# Find all hookify.*.local.md files
pattern = os.path.join('.claude', 'hookify.*.local.md')
files = glob.glob(pattern)
for file_path in files:
try:
rule = load_rule_file(file_path)
if not rule:
continue
# Filter by event if specified
if event:
if rule.event != 'all' and rule.event != event:
continue
# Only include enabled rules
if rule.enabled:
rules.append(rule)
except (IOError, OSError, PermissionError) as e:
# File I/O errors - log and continue
print(f"Warning: Failed to read {file_path}: {e}", file=sys.stderr)
continue
except (ValueError, KeyError, AttributeError, TypeError) as e:
# Parsing errors - log and continue
print(f"Warning: Failed to parse {file_path}: {e}", file=sys.stderr)
continue
except Exception as e:
# Unexpected errors - log with type details
print(f"Warning: Unexpected error loading {file_path} ({type(e).__name__}): {e}", file=sys.stderr)
continue
return rules
def load_rule_file(file_path: str) -> Optional[Rule]:
"""Load a single rule file.
Returns:
Rule object or None if file is invalid.
"""
try:
with open(file_path, 'r') as f:
content = f.read()
frontmatter, message = extract_frontmatter(content)
if not frontmatter:
print(f"Warning: {file_path} missing YAML frontmatter (must start with ---)", file=sys.stderr)
return None
rule = Rule.from_dict(frontmatter, message)
return rule
except (IOError, OSError, PermissionError) as e:
print(f"Error: Cannot read {file_path}: {e}", file=sys.stderr)
return None
except (ValueError, KeyError, AttributeError, TypeError) as e:
print(f"Error: Malformed rule file {file_path}: {e}", file=sys.stderr)
return None
except UnicodeDecodeError as e:
print(f"Error: Invalid encoding in {file_path}: {e}", file=sys.stderr)
return None
except Exception as e:
print(f"Error: Unexpected error parsing {file_path} ({type(e).__name__}): {e}", file=sys.stderr)
return None
# For testing
if __name__ == '__main__':
import sys
# Test frontmatter parsing
test_content = """---
name: test-rule
enabled: true
event: bash
pattern: "rm -rf"
---
⚠️ Dangerous command detected!
"""
fm, msg = extract_frontmatter(test_content)
print("Frontmatter:", fm)
print("Message:", msg)
rule = Rule.from_dict(fm, msg)
print("Rule:", rule)

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@@ -0,0 +1,313 @@
#!/usr/bin/env python3
"""Rule evaluation engine for hookify plugin."""
import re
import sys
from functools import lru_cache
from typing import List, Dict, Any, Optional
# Import from local module
from hookify.core.config_loader import Rule, Condition
# Cache compiled regexes (max 128 patterns)
@lru_cache(maxsize=128)
def compile_regex(pattern: str) -> re.Pattern:
"""Compile regex pattern with caching.
Args:
pattern: Regex pattern string
Returns:
Compiled regex pattern
"""
return re.compile(pattern, re.IGNORECASE)
class RuleEngine:
"""Evaluates rules against hook input data."""
def __init__(self):
"""Initialize rule engine."""
# No need for instance cache anymore - using global lru_cache
pass
def evaluate_rules(self, rules: List[Rule], input_data: Dict[str, Any]) -> Dict[str, Any]:
"""Evaluate all rules and return combined results.
Checks all rules and accumulates matches. Blocking rules take priority
over warning rules. All matching rule messages are combined.
Args:
rules: List of Rule objects to evaluate
input_data: Hook input JSON (tool_name, tool_input, etc.)
Returns:
Response dict with systemMessage, hookSpecificOutput, etc.
Empty dict {} if no rules match.
"""
hook_event = input_data.get('hook_event_name', '')
blocking_rules = []
warning_rules = []
for rule in rules:
if self._rule_matches(rule, input_data):
if rule.action == 'block':
blocking_rules.append(rule)
else:
warning_rules.append(rule)
# If any blocking rules matched, block the operation
if blocking_rules:
messages = [f"**[{r.name}]**\n{r.message}" for r in blocking_rules]
combined_message = "\n\n".join(messages)
# Use appropriate blocking format based on event type
if hook_event == 'Stop':
return {
"decision": "block",
"reason": combined_message,
"systemMessage": combined_message
}
elif hook_event in ['PreToolUse', 'PostToolUse']:
return {
"hookSpecificOutput": {
"hookEventName": hook_event,
"permissionDecision": "deny"
},
"systemMessage": combined_message
}
else:
# For other events, just show message
return {
"systemMessage": combined_message
}
# If only warnings, show them but allow operation
if warning_rules:
messages = [f"**[{r.name}]**\n{r.message}" for r in warning_rules]
return {
"systemMessage": "\n\n".join(messages)
}
# No matches - allow operation
return {}
def _rule_matches(self, rule: Rule, input_data: Dict[str, Any]) -> bool:
"""Check if rule matches input data.
Args:
rule: Rule to evaluate
input_data: Hook input data
Returns:
True if rule matches, False otherwise
"""
# Extract tool information
tool_name = input_data.get('tool_name', '')
tool_input = input_data.get('tool_input', {})
# Check tool matcher if specified
if rule.tool_matcher:
if not self._matches_tool(rule.tool_matcher, tool_name):
return False
# If no conditions, don't match
# (Rules must have at least one condition to be valid)
if not rule.conditions:
return False
# All conditions must match
for condition in rule.conditions:
if not self._check_condition(condition, tool_name, tool_input, input_data):
return False
return True
def _matches_tool(self, matcher: str, tool_name: str) -> bool:
"""Check if tool_name matches the matcher pattern.
Args:
matcher: Pattern like "Bash", "Edit|Write", "*"
tool_name: Actual tool name
Returns:
True if matches
"""
if matcher == '*':
return True
# Split on | for OR matching
patterns = matcher.split('|')
return tool_name in patterns
def _check_condition(self, condition: Condition, tool_name: str,
tool_input: Dict[str, Any], input_data: Dict[str, Any] = None) -> bool:
"""Check if a single condition matches.
Args:
condition: Condition to check
tool_name: Tool being used
tool_input: Tool input dict
input_data: Full hook input data (for Stop events, etc.)
Returns:
True if condition matches
"""
# Extract the field value to check
field_value = self._extract_field(condition.field, tool_name, tool_input, input_data)
if field_value is None:
return False
# Apply operator
operator = condition.operator
pattern = condition.pattern
if operator == 'regex_match':
return self._regex_match(pattern, field_value)
elif operator == 'contains':
return pattern in field_value
elif operator == 'equals':
return pattern == field_value
elif operator == 'not_contains':
return pattern not in field_value
elif operator == 'starts_with':
return field_value.startswith(pattern)
elif operator == 'ends_with':
return field_value.endswith(pattern)
else:
# Unknown operator
return False
def _extract_field(self, field: str, tool_name: str,
tool_input: Dict[str, Any], input_data: Dict[str, Any] = None) -> Optional[str]:
"""Extract field value from tool input or hook input data.
Args:
field: Field name like "command", "new_text", "file_path", "reason", "transcript"
tool_name: Tool being used (may be empty for Stop events)
tool_input: Tool input dict
input_data: Full hook input (for accessing transcript_path, reason, etc.)
Returns:
Field value as string, or None if not found
"""
# Direct tool_input fields
if field in tool_input:
value = tool_input[field]
if isinstance(value, str):
return value
return str(value)
# For Stop events and other non-tool events, check input_data
if input_data:
# Stop event specific fields
if field == 'reason':
return input_data.get('reason', '')
elif field == 'transcript':
# Read transcript file if path provided
transcript_path = input_data.get('transcript_path')
if transcript_path:
try:
with open(transcript_path, 'r') as f:
return f.read()
except FileNotFoundError:
print(f"Warning: Transcript file not found: {transcript_path}", file=sys.stderr)
return ''
except PermissionError:
print(f"Warning: Permission denied reading transcript: {transcript_path}", file=sys.stderr)
return ''
except (IOError, OSError) as e:
print(f"Warning: Error reading transcript {transcript_path}: {e}", file=sys.stderr)
return ''
except UnicodeDecodeError as e:
print(f"Warning: Encoding error in transcript {transcript_path}: {e}", file=sys.stderr)
return ''
elif field == 'user_prompt':
# For UserPromptSubmit events
return input_data.get('user_prompt', '')
# Handle special cases by tool type
if tool_name == 'Bash':
if field == 'command':
return tool_input.get('command', '')
elif tool_name in ['Write', 'Edit']:
if field == 'content':
# Write uses 'content', Edit has 'new_string'
return tool_input.get('content') or tool_input.get('new_string', '')
elif field == 'new_text' or field == 'new_string':
return tool_input.get('new_string', '')
elif field == 'old_text' or field == 'old_string':
return tool_input.get('old_string', '')
elif field == 'file_path':
return tool_input.get('file_path', '')
elif tool_name == 'MultiEdit':
if field == 'file_path':
return tool_input.get('file_path', '')
elif field in ['new_text', 'content']:
# Concatenate all edits
edits = tool_input.get('edits', [])
return ' '.join(e.get('new_string', '') for e in edits)
return None
def _regex_match(self, pattern: str, text: str) -> bool:
"""Check if pattern matches text using regex.
Args:
pattern: Regex pattern
text: Text to match against
Returns:
True if pattern matches
"""
try:
# Use cached compiled regex (LRU cache with max 128 patterns)
regex = compile_regex(pattern)
return bool(regex.search(text))
except re.error as e:
print(f"Invalid regex pattern '{pattern}': {e}", file=sys.stderr)
return False
# For testing
if __name__ == '__main__':
from hookify.core.config_loader import Condition, Rule
# Test rule evaluation
rule = Rule(
name="test-rm",
enabled=True,
event="bash",
conditions=[
Condition(field="command", operator="regex_match", pattern=r"rm\s+-rf")
],
message="Dangerous rm command!"
)
engine = RuleEngine()
# Test matching input
test_input = {
"tool_name": "Bash",
"tool_input": {
"command": "rm -rf /tmp/test"
}
}
result = engine.evaluate_rules([rule], test_input)
print("Match result:", result)
# Test non-matching input
test_input2 = {
"tool_name": "Bash",
"tool_input": {
"command": "ls -la"
}
}
result2 = engine.evaluate_rules([rule], test_input2)
print("Non-match result:", result2)

View File

@@ -0,0 +1,14 @@
---
name: warn-console-log
enabled: true
event: file
pattern: console\.log\(
action: warn
---
🔍 **Console.log detected**
You're adding a console.log statement. Please consider:
- Is this for debugging or should it be proper logging?
- Will this ship to production?
- Should this use a logging library instead?

View File

@@ -0,0 +1,14 @@
---
name: block-dangerous-rm
enabled: true
event: bash
pattern: rm\s+-rf
action: block
---
⚠️ **Dangerous rm command detected!**
This command could delete important files. Please:
- Verify the path is correct
- Consider using a safer approach
- Make sure you have backups

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@@ -0,0 +1,22 @@
---
name: require-tests-run
enabled: false
event: stop
action: block
conditions:
- field: transcript
operator: not_contains
pattern: npm test|pytest|cargo test
---
**Tests not detected in transcript!**
Before stopping, please run tests to verify your changes work correctly.
Look for test commands like:
- `npm test`
- `pytest`
- `cargo test`
**Note:** This rule blocks stopping if no test commands appear in the transcript.
Enable this rule only when you want strict test enforcement.

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@@ -0,0 +1,18 @@
---
name: warn-sensitive-files
enabled: true
event: file
action: warn
conditions:
- field: file_path
operator: regex_match
pattern: \.env$|\.env\.|credentials|secrets
---
🔐 **Sensitive file detected**
You're editing a file that may contain sensitive data:
- Ensure credentials are not hardcoded
- Use environment variables for secrets
- Verify this file is in .gitignore
- Consider using a secrets manager

View File

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@@ -0,0 +1,49 @@
{
"description": "Hookify plugin - User-configurable hooks from .local.md files",
"hooks": {
"PreToolUse": [
{
"hooks": [
{
"type": "command",
"command": "python3 ${CLAUDE_PLUGIN_ROOT}/hooks/pretooluse.py",
"timeout": 10
}
]
}
],
"PostToolUse": [
{
"hooks": [
{
"type": "command",
"command": "python3 ${CLAUDE_PLUGIN_ROOT}/hooks/posttooluse.py",
"timeout": 10
}
]
}
],
"Stop": [
{
"hooks": [
{
"type": "command",
"command": "python3 ${CLAUDE_PLUGIN_ROOT}/hooks/stop.py",
"timeout": 10
}
]
}
],
"UserPromptSubmit": [
{
"hooks": [
{
"type": "command",
"command": "python3 ${CLAUDE_PLUGIN_ROOT}/hooks/userpromptsubmit.py",
"timeout": 10
}
]
}
]
}
}

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@@ -0,0 +1,66 @@
#!/usr/bin/env python3
"""PostToolUse hook executor for hookify plugin.
This script is called by Claude Code after a tool executes.
It reads .claude/hookify.*.local.md files and evaluates rules.
"""
import os
import sys
import json
# CRITICAL: Add plugin root to Python path for imports
PLUGIN_ROOT = os.environ.get('CLAUDE_PLUGIN_ROOT')
if PLUGIN_ROOT:
parent_dir = os.path.dirname(PLUGIN_ROOT)
if parent_dir not in sys.path:
sys.path.insert(0, parent_dir)
if PLUGIN_ROOT not in sys.path:
sys.path.insert(0, PLUGIN_ROOT)
try:
from hookify.core.config_loader import load_rules
from hookify.core.rule_engine import RuleEngine
except ImportError as e:
error_msg = {"systemMessage": f"Hookify import error: {e}"}
print(json.dumps(error_msg), file=sys.stdout)
sys.exit(0)
def main():
"""Main entry point for PostToolUse hook."""
try:
# Read input from stdin
input_data = json.load(sys.stdin)
# Determine event type based on tool
tool_name = input_data.get('tool_name', '')
event = None
if tool_name == 'Bash':
event = 'bash'
elif tool_name in ['Edit', 'Write', 'MultiEdit']:
event = 'file'
# Load rules
rules = load_rules(event=event)
# Evaluate rules
engine = RuleEngine()
result = engine.evaluate_rules(rules, input_data)
# Always output JSON (even if empty)
print(json.dumps(result), file=sys.stdout)
except Exception as e:
error_output = {
"systemMessage": f"Hookify error: {str(e)}"
}
print(json.dumps(error_output), file=sys.stdout)
finally:
# ALWAYS exit 0
sys.exit(0)
if __name__ == '__main__':
main()

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@@ -0,0 +1,74 @@
#!/usr/bin/env python3
"""PreToolUse hook executor for hookify plugin.
This script is called by Claude Code before any tool executes.
It reads .claude/hookify.*.local.md files and evaluates rules.
"""
import os
import sys
import json
# CRITICAL: Add plugin root to Python path for imports
# We need to add the parent of the plugin directory so Python can find "hookify" package
PLUGIN_ROOT = os.environ.get('CLAUDE_PLUGIN_ROOT')
if PLUGIN_ROOT:
# Add the parent directory of the plugin
parent_dir = os.path.dirname(PLUGIN_ROOT)
if parent_dir not in sys.path:
sys.path.insert(0, parent_dir)
# Also add PLUGIN_ROOT itself in case we have other scripts
if PLUGIN_ROOT not in sys.path:
sys.path.insert(0, PLUGIN_ROOT)
try:
from hookify.core.config_loader import load_rules
from hookify.core.rule_engine import RuleEngine
except ImportError as e:
# If imports fail, allow operation and log error
error_msg = {"systemMessage": f"Hookify import error: {e}"}
print(json.dumps(error_msg), file=sys.stdout)
sys.exit(0)
def main():
"""Main entry point for PreToolUse hook."""
try:
# Read input from stdin
input_data = json.load(sys.stdin)
# Determine event type for filtering
# For PreToolUse, we use tool_name to determine "bash" vs "file" event
tool_name = input_data.get('tool_name', '')
event = None
if tool_name == 'Bash':
event = 'bash'
elif tool_name in ['Edit', 'Write', 'MultiEdit']:
event = 'file'
# Load rules
rules = load_rules(event=event)
# Evaluate rules
engine = RuleEngine()
result = engine.evaluate_rules(rules, input_data)
# Always output JSON (even if empty)
print(json.dumps(result), file=sys.stdout)
except Exception as e:
# On any error, allow the operation and log
error_output = {
"systemMessage": f"Hookify error: {str(e)}"
}
print(json.dumps(error_output), file=sys.stdout)
finally:
# ALWAYS exit 0 - never block operations due to hook errors
sys.exit(0)
if __name__ == '__main__':
main()

59
plugins/hookify/hooks/stop.py Executable file
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@@ -0,0 +1,59 @@
#!/usr/bin/env python3
"""Stop hook executor for hookify plugin.
This script is called by Claude Code when agent wants to stop.
It reads .claude/hookify.*.local.md files and evaluates stop rules.
"""
import os
import sys
import json
# CRITICAL: Add plugin root to Python path for imports
PLUGIN_ROOT = os.environ.get('CLAUDE_PLUGIN_ROOT')
if PLUGIN_ROOT:
parent_dir = os.path.dirname(PLUGIN_ROOT)
if parent_dir not in sys.path:
sys.path.insert(0, parent_dir)
if PLUGIN_ROOT not in sys.path:
sys.path.insert(0, PLUGIN_ROOT)
try:
from hookify.core.config_loader import load_rules
from hookify.core.rule_engine import RuleEngine
except ImportError as e:
error_msg = {"systemMessage": f"Hookify import error: {e}"}
print(json.dumps(error_msg), file=sys.stdout)
sys.exit(0)
def main():
"""Main entry point for Stop hook."""
try:
# Read input from stdin
input_data = json.load(sys.stdin)
# Load stop rules
rules = load_rules(event='stop')
# Evaluate rules
engine = RuleEngine()
result = engine.evaluate_rules(rules, input_data)
# Always output JSON (even if empty)
print(json.dumps(result), file=sys.stdout)
except Exception as e:
# On any error, allow the operation
error_output = {
"systemMessage": f"Hookify error: {str(e)}"
}
print(json.dumps(error_output), file=sys.stdout)
finally:
# ALWAYS exit 0
sys.exit(0)
if __name__ == '__main__':
main()

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@@ -0,0 +1,58 @@
#!/usr/bin/env python3
"""UserPromptSubmit hook executor for hookify plugin.
This script is called by Claude Code when user submits a prompt.
It reads .claude/hookify.*.local.md files and evaluates rules.
"""
import os
import sys
import json
# CRITICAL: Add plugin root to Python path for imports
PLUGIN_ROOT = os.environ.get('CLAUDE_PLUGIN_ROOT')
if PLUGIN_ROOT:
parent_dir = os.path.dirname(PLUGIN_ROOT)
if parent_dir not in sys.path:
sys.path.insert(0, parent_dir)
if PLUGIN_ROOT not in sys.path:
sys.path.insert(0, PLUGIN_ROOT)
try:
from hookify.core.config_loader import load_rules
from hookify.core.rule_engine import RuleEngine
except ImportError as e:
error_msg = {"systemMessage": f"Hookify import error: {e}"}
print(json.dumps(error_msg), file=sys.stdout)
sys.exit(0)
def main():
"""Main entry point for UserPromptSubmit hook."""
try:
# Read input from stdin
input_data = json.load(sys.stdin)
# Load user prompt rules
rules = load_rules(event='prompt')
# Evaluate rules
engine = RuleEngine()
result = engine.evaluate_rules(rules, input_data)
# Always output JSON (even if empty)
print(json.dumps(result), file=sys.stdout)
except Exception as e:
error_output = {
"systemMessage": f"Hookify error: {str(e)}"
}
print(json.dumps(error_output), file=sys.stdout)
finally:
# ALWAYS exit 0
sys.exit(0)
if __name__ == '__main__':
main()

View File

View File

@@ -0,0 +1,374 @@
---
name: Writing Hookify Rules
description: This skill should be used when the user asks to "create a hookify rule", "write a hook rule", "configure hookify", "add a hookify rule", or needs guidance on hookify rule syntax and patterns.
version: 0.1.0
---
# Writing Hookify Rules
## Overview
Hookify rules are markdown files with YAML frontmatter that define patterns to watch for and messages to show when those patterns match. Rules are stored in `.claude/hookify.{rule-name}.local.md` files.
## Rule File Format
### Basic Structure
```markdown
---
name: rule-identifier
enabled: true
event: bash|file|stop|prompt|all
pattern: regex-pattern-here
---
Message to show Claude when this rule triggers.
Can include markdown formatting, warnings, suggestions, etc.
```
### Frontmatter Fields
**name** (required): Unique identifier for the rule
- Use kebab-case: `warn-dangerous-rm`, `block-console-log`
- Be descriptive and action-oriented
- Start with verb: warn, prevent, block, require, check
**enabled** (required): Boolean to activate/deactivate
- `true`: Rule is active
- `false`: Rule is disabled (won't trigger)
- Can toggle without deleting rule
**event** (required): Which hook event to trigger on
- `bash`: Bash tool commands
- `file`: Edit, Write, MultiEdit tools
- `stop`: When agent wants to stop
- `prompt`: When user submits a prompt
- `all`: All events
**action** (optional): What to do when rule matches
- `warn`: Show message but allow operation (default)
- `block`: Prevent operation (PreToolUse) or stop session (Stop events)
- If omitted, defaults to `warn`
**pattern** (simple format): Regex pattern to match
- Used for simple single-condition rules
- Matches against command (bash) or new_text (file)
- Python regex syntax
**Example:**
```yaml
event: bash
pattern: rm\s+-rf
```
### Advanced Format (Multiple Conditions)
For complex rules with multiple conditions:
```markdown
---
name: warn-env-file-edits
enabled: true
event: file
conditions:
- field: file_path
operator: regex_match
pattern: \.env$
- field: new_text
operator: contains
pattern: API_KEY
---
You're adding an API key to a .env file. Ensure this file is in .gitignore!
```
**Condition fields:**
- `field`: Which field to check
- For bash: `command`
- For file: `file_path`, `new_text`, `old_text`, `content`
- `operator`: How to match
- `regex_match`: Regex pattern matching
- `contains`: Substring check
- `equals`: Exact match
- `not_contains`: Substring must NOT be present
- `starts_with`: Prefix check
- `ends_with`: Suffix check
- `pattern`: Pattern or string to match
**All conditions must match for rule to trigger.**
## Message Body
The markdown content after frontmatter is shown to Claude when the rule triggers.
**Good messages:**
- Explain what was detected
- Explain why it's problematic
- Suggest alternatives or best practices
- Use formatting for clarity (bold, lists, etc.)
**Example:**
```markdown
⚠️ **Console.log detected!**
You're adding console.log to production code.
**Why this matters:**
- Debug logs shouldn't ship to production
- Console.log can expose sensitive data
- Impacts browser performance
**Alternatives:**
- Use a proper logging library
- Remove before committing
- Use conditional debug builds
```
## Event Type Guide
### bash Events
Match Bash command patterns:
```markdown
---
event: bash
pattern: sudo\s+|rm\s+-rf|chmod\s+777
---
Dangerous command detected!
```
**Common patterns:**
- Dangerous commands: `rm\s+-rf`, `dd\s+if=`, `mkfs`
- Privilege escalation: `sudo\s+`, `su\s+`
- Permission issues: `chmod\s+777`, `chown\s+root`
### file Events
Match Edit/Write/MultiEdit operations:
```markdown
---
event: file
pattern: console\.log\(|eval\(|innerHTML\s*=
---
Potentially problematic code pattern detected!
```
**Match on different fields:**
```markdown
---
event: file
conditions:
- field: file_path
operator: regex_match
pattern: \.tsx?$
- field: new_text
operator: regex_match
pattern: console\.log\(
---
Console.log in TypeScript file!
```
**Common patterns:**
- Debug code: `console\.log\(`, `debugger`, `print\(`
- Security risks: `eval\(`, `innerHTML\s*=`, `dangerouslySetInnerHTML`
- Sensitive files: `\.env$`, `credentials`, `\.pem$`
- Generated files: `node_modules/`, `dist/`, `build/`
### stop Events
Match when agent wants to stop (completion checks):
```markdown
---
event: stop
pattern: .*
---
Before stopping, verify:
- [ ] Tests were run
- [ ] Build succeeded
- [ ] Documentation updated
```
**Use for:**
- Reminders about required steps
- Completion checklists
- Process enforcement
### prompt Events
Match user prompt content (advanced):
```markdown
---
event: prompt
conditions:
- field: user_prompt
operator: contains
pattern: deploy to production
---
Production deployment checklist:
- [ ] Tests passing?
- [ ] Reviewed by team?
- [ ] Monitoring ready?
```
## Pattern Writing Tips
### Regex Basics
**Literal characters:** Most characters match themselves
- `rm` matches "rm"
- `console.log` matches "console.log"
**Special characters need escaping:**
- `.` (any char) → `\.` (literal dot)
- `(` `)``\(` `\)` (literal parens)
- `[` `]``\[` `\]` (literal brackets)
**Common metacharacters:**
- `\s` - whitespace (space, tab, newline)
- `\d` - digit (0-9)
- `\w` - word character (a-z, A-Z, 0-9, _)
- `.` - any character
- `+` - one or more
- `*` - zero or more
- `?` - zero or one
- `|` - OR
**Examples:**
```
rm\s+-rf Matches: rm -rf, rm -rf
console\.log\( Matches: console.log(
(eval|exec)\( Matches: eval( or exec(
chmod\s+777 Matches: chmod 777, chmod 777
API_KEY\s*= Matches: API_KEY=, API_KEY =
```
### Testing Patterns
Test regex patterns before using:
```bash
python3 -c "import re; print(re.search(r'your_pattern', 'test text'))"
```
Or use online regex testers (regex101.com with Python flavor).
### Common Pitfalls
**Too broad:**
```yaml
pattern: log # Matches "log", "login", "dialog", "catalog"
```
Better: `console\.log\(|logger\.`
**Too specific:**
```yaml
pattern: rm -rf /tmp # Only matches exact path
```
Better: `rm\s+-rf`
**Escaping issues:**
- YAML quoted strings: `"pattern"` requires double backslashes `\\s`
- YAML unquoted: `pattern: \s` works as-is
- **Recommendation**: Use unquoted patterns in YAML
## File Organization
**Location:** All rules in `.claude/` directory
**Naming:** `.claude/hookify.{descriptive-name}.local.md`
**Gitignore:** Add `.claude/*.local.md` to `.gitignore`
**Good names:**
- `hookify.dangerous-rm.local.md`
- `hookify.console-log.local.md`
- `hookify.require-tests.local.md`
- `hookify.sensitive-files.local.md`
**Bad names:**
- `hookify.rule1.local.md` (not descriptive)
- `hookify.md` (missing .local)
- `danger.local.md` (missing hookify prefix)
## Workflow
### Creating a Rule
1. Identify unwanted behavior
2. Determine which tool is involved (Bash, Edit, etc.)
3. Choose event type (bash, file, stop, etc.)
4. Write regex pattern
5. Create `.claude/hookify.{name}.local.md` file in project root
6. Test immediately - rules are read dynamically on next tool use
### Refining a Rule
1. Edit the `.local.md` file
2. Adjust pattern or message
3. Test immediately - changes take effect on next tool use
### Disabling a Rule
**Temporary:** Set `enabled: false` in frontmatter
**Permanent:** Delete the `.local.md` file
## Examples
See `${CLAUDE_PLUGIN_ROOT}/examples/` for complete examples:
- `dangerous-rm.local.md` - Block dangerous rm commands
- `console-log-warning.local.md` - Warn about console.log
- `sensitive-files-warning.local.md` - Warn about editing .env files
## Quick Reference
**Minimum viable rule:**
```markdown
---
name: my-rule
enabled: true
event: bash
pattern: dangerous_command
---
Warning message here
```
**Rule with conditions:**
```markdown
---
name: my-rule
enabled: true
event: file
conditions:
- field: file_path
operator: regex_match
pattern: \.ts$
- field: new_text
operator: contains
pattern: any
---
Warning message
```
**Event types:**
- `bash` - Bash commands
- `file` - File edits
- `stop` - Completion checks
- `prompt` - User input
- `all` - All events
**Field options:**
- Bash: `command`
- File: `file_path`, `new_text`, `old_text`, `content`
- Prompt: `user_prompt`
**Operators:**
- `regex_match`, `contains`, `equals`, `not_contains`, `starts_with`, `ends_with`

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{
"name": "learning-output-style",
"version": "1.0.0",
"description": "Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)",
"author": {
"name": "Boris Cherny",
"email": "boris@anthropic.com"
}
}

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# Learning Style Plugin
This plugin combines the unshipped Learning output style with explanatory functionality as a SessionStart hook.
**Note:** This plugin differs from the original unshipped Learning output style by also incorporating all functionality from the [explanatory-output-style plugin](https://github.com/anthropics/claude-code/tree/main/plugins/explanatory-output-style), providing both interactive learning and educational insights.
WARNING: Do not install this plugin unless you are fine with incurring the token cost of this plugin's additional instructions and the interactive nature of learning mode.
## What it does
When enabled, this plugin automatically adds instructions at the start of each session that encourage Claude to:
1. **Learning Mode:** Engage you in active learning by requesting meaningful code contributions at decision points
2. **Explanatory Mode:** Provide educational insights about implementation choices and codebase patterns
Instead of implementing everything automatically, Claude will:
1. Identify opportunities where you can write 5-10 lines of meaningful code
2. Focus on business logic and design choices where your input truly matters
3. Prepare the context and location for your contribution
4. Explain trade-offs and guide your implementation
5. Provide educational insights before and after writing code
## How it works
The plugin uses a SessionStart hook to inject additional context into every session. This context instructs Claude to adopt an interactive teaching approach where you actively participate in writing key parts of the code.
## When Claude requests contributions
Claude will ask you to write code for:
- Business logic with multiple valid approaches
- Error handling strategies
- Algorithm implementation choices
- Data structure decisions
- User experience decisions
- Design patterns and architecture choices
## When Claude won't request contributions
Claude will implement directly:
- Boilerplate or repetitive code
- Obvious implementations with no meaningful choices
- Configuration or setup code
- Simple CRUD operations
## Example interaction
**Claude:** I've set up the authentication middleware. The session timeout behavior is a security vs. UX trade-off - should sessions auto-extend on activity, or have a hard timeout?
In `auth/middleware.ts`, implement the `handleSessionTimeout()` function to define the timeout behavior.
Consider: auto-extending improves UX but may leave sessions open longer; hard timeouts are more secure but might frustrate active users.
**You:** [Write 5-10 lines implementing your preferred approach]
## Educational insights
In addition to interactive learning, Claude will provide educational insights about implementation choices using this format:
```
`★ Insight ─────────────────────────────────────`
[2-3 key educational points about the codebase or implementation]
`─────────────────────────────────────────────────`
```
These insights focus on:
- Specific implementation choices for your codebase
- Patterns and conventions in your code
- Trade-offs and design decisions
- Codebase-specific details rather than general programming concepts
## Usage
Once installed, the plugin activates automatically at the start of every session. No additional configuration is needed.
## Migration from Output Styles
This plugin combines the unshipped "Learning" output style with the deprecated "Explanatory" output style. It provides an interactive learning experience where you actively contribute code at meaningful decision points, while also receiving educational insights about implementation choices.
If you previously used the explanatory-output-style plugin, this learning plugin includes all of that functionality plus interactive learning features.
This SessionStart hook pattern is roughly equivalent to CLAUDE.md, but it is more flexible and allows for distribution through plugins.
## Managing changes
- Disable the plugin - keep the code installed on your device
- Uninstall the plugin - remove the code from your device
- Update the plugin - create a local copy of this plugin to personalize it
- Hint: Ask Claude to read https://docs.claude.com/en/docs/claude-code/plugins.md and set it up for you!
## Philosophy
Learning by doing is more effective than passive observation. This plugin transforms your interaction with Claude from "watch and learn" to "build and understand," ensuring you develop practical skills through hands-on coding of meaningful logic.

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#!/usr/bin/env bash
# Output the learning mode instructions as additionalContext
# This combines the unshipped Learning output style with explanatory functionality
cat << 'EOF'
{
"hookSpecificOutput": {
"hookEventName": "SessionStart",
"additionalContext": "You are in 'learning' output style mode, which combines interactive learning with educational explanations. This mode differs from the original unshipped Learning output style by also incorporating explanatory functionality.\n\n## Learning Mode Philosophy\n\nInstead of implementing everything yourself, identify opportunities where the user can write 5-10 lines of meaningful code that shapes the solution. Focus on business logic, design choices, and implementation strategies where their input truly matters.\n\n## When to Request User Contributions\n\nRequest code contributions for:\n- Business logic with multiple valid approaches\n- Error handling strategies\n- Algorithm implementation choices\n- Data structure decisions\n- User experience decisions\n- Design patterns and architecture choices\n\n## How to Request Contributions\n\nBefore requesting code:\n1. Create the file with surrounding context\n2. Add function signature with clear parameters/return type\n3. Include comments explaining the purpose\n4. Mark the location with TODO or clear placeholder\n\nWhen requesting:\n- Explain what you've built and WHY this decision matters\n- Reference the exact file and prepared location\n- Describe trade-offs to consider, constraints, or approaches\n- Frame it as valuable input that shapes the feature, not busy work\n- Keep requests focused (5-10 lines of code)\n\n## Example Request Pattern\n\nContext: I've set up the authentication middleware. The session timeout behavior is a security vs. UX trade-off - should sessions auto-extend on activity, or have a hard timeout? This affects both security posture and user experience.\n\nRequest: In auth/middleware.ts, implement the handleSessionTimeout() function to define the timeout behavior.\n\nGuidance: Consider: auto-extending improves UX but may leave sessions open longer; hard timeouts are more secure but might frustrate active users.\n\n## Balance\n\nDon't request contributions for:\n- Boilerplate or repetitive code\n- Obvious implementations with no meaningful choices\n- Configuration or setup code\n- Simple CRUD operations\n\nDo request contributions when:\n- There are meaningful trade-offs to consider\n- The decision shapes the feature's behavior\n- Multiple valid approaches exist\n- The user's domain knowledge would improve the solution\n\n## Explanatory Mode\n\nAdditionally, provide educational insights about the codebase as you help with tasks. Be clear and educational, providing helpful explanations while remaining focused on the task. Balance educational content with task completion.\n\n### Insights\nBefore and after writing code, provide brief educational explanations about implementation choices using:\n\n\"`★ Insight ─────────────────────────────────────`\n[2-3 key educational points]\n`─────────────────────────────────────────────────`\"\n\nThese insights should be included in the conversation, not in the codebase. Focus on interesting insights specific to the codebase or the code you just wrote, rather than general programming concepts. Provide insights as you write code, not just at the end."
}
}
EOF
exit 0

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{
"description": "Learning mode hook that adds interactive learning instructions",
"hooks": {
"SessionStart": [
{
"hooks": [
{
"type": "command",
"command": "${CLAUDE_PLUGIN_ROOT}/hooks-handlers/session-start.sh"
}
]
}
]
}
}

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# Plugin Development Toolkit
A comprehensive toolkit for developing Claude Code plugins with expert guidance on hooks, MCP integration, plugin structure, and marketplace publishing.
## Overview
The plugin-dev toolkit provides seven specialized skills to help you build high-quality Claude Code plugins:
1. **Hook Development** - Advanced hooks API and event-driven automation
2. **MCP Integration** - Model Context Protocol server integration
3. **Plugin Structure** - Plugin organization and manifest configuration
4. **Plugin Settings** - Configuration patterns using .claude/plugin-name.local.md files
5. **Command Development** - Creating slash commands with frontmatter and arguments
6. **Agent Development** - Creating autonomous agents with AI-assisted generation
7. **Skill Development** - Creating skills with progressive disclosure and strong triggers
Each skill follows best practices with progressive disclosure: lean core documentation, detailed references, working examples, and utility scripts.
## Guided Workflow Command
### /plugin-dev:create-plugin
A comprehensive, end-to-end workflow command for creating plugins from scratch, similar to the feature-dev workflow.
**8-Phase Process:**
1. **Discovery** - Understand plugin purpose and requirements
2. **Component Planning** - Determine needed skills, commands, agents, hooks, MCP
3. **Detailed Design** - Specify each component and resolve ambiguities
4. **Structure Creation** - Set up directories and manifest
5. **Component Implementation** - Create each component using AI-assisted agents
6. **Validation** - Run plugin-validator and component-specific checks
7. **Testing** - Verify plugin works in Claude Code
8. **Documentation** - Finalize README and prepare for distribution
**Features:**
- Asks clarifying questions at each phase
- Loads relevant skills automatically
- Uses agent-creator for AI-assisted agent generation
- Runs validation utilities (validate-agent.sh, validate-hook-schema.sh, etc.)
- Follows plugin-dev's own proven patterns
- Guides through testing and verification
**Usage:**
```bash
/plugin-dev:create-plugin [optional description]
# Examples:
/plugin-dev:create-plugin
/plugin-dev:create-plugin A plugin for managing database migrations
```
Use this workflow for structured, high-quality plugin development from concept to completion.
## Skills
### 1. Hook Development
**Trigger phrases:** "create a hook", "add a PreToolUse hook", "validate tool use", "implement prompt-based hooks", "${CLAUDE_PLUGIN_ROOT}", "block dangerous commands"
**What it covers:**
- Prompt-based hooks (recommended) with LLM decision-making
- Command hooks for deterministic validation
- All hook events: PreToolUse, PostToolUse, Stop, SubagentStop, SessionStart, SessionEnd, UserPromptSubmit, PreCompact, Notification
- Hook output formats and JSON schemas
- Security best practices and input validation
- ${CLAUDE_PLUGIN_ROOT} for portable paths
**Resources:**
- Core SKILL.md (1,619 words)
- 3 example hook scripts (validate-write, validate-bash, load-context)
- 3 reference docs: patterns, migration, advanced techniques
- 3 utility scripts: validate-hook-schema.sh, test-hook.sh, hook-linter.sh
**Use when:** Creating event-driven automation, validating operations, or enforcing policies in your plugin.
### 2. MCP Integration
**Trigger phrases:** "add MCP server", "integrate MCP", "configure .mcp.json", "Model Context Protocol", "stdio/SSE/HTTP server", "connect external service"
**What it covers:**
- MCP server configuration (.mcp.json vs plugin.json)
- All server types: stdio (local), SSE (hosted/OAuth), HTTP (REST), WebSocket (real-time)
- Environment variable expansion (${CLAUDE_PLUGIN_ROOT}, user vars)
- MCP tool naming and usage in commands/agents
- Authentication patterns: OAuth, tokens, env vars
- Integration patterns and performance optimization
**Resources:**
- Core SKILL.md (1,666 words)
- 3 example configurations (stdio, SSE, HTTP)
- 3 reference docs: server-types (~3,200w), authentication (~2,800w), tool-usage (~2,600w)
**Use when:** Integrating external services, APIs, databases, or tools into your plugin.
### 3. Plugin Structure
**Trigger phrases:** "plugin structure", "plugin.json manifest", "auto-discovery", "component organization", "plugin directory layout"
**What it covers:**
- Standard plugin directory structure and auto-discovery
- plugin.json manifest format and all fields
- Component organization (commands, agents, skills, hooks)
- ${CLAUDE_PLUGIN_ROOT} usage throughout
- File naming conventions and best practices
- Minimal, standard, and advanced plugin patterns
**Resources:**
- Core SKILL.md (1,619 words)
- 3 example structures (minimal, standard, advanced)
- 2 reference docs: component-patterns, manifest-reference
**Use when:** Starting a new plugin, organizing components, or configuring the plugin manifest.
### 4. Plugin Settings
**Trigger phrases:** "plugin settings", "store plugin configuration", ".local.md files", "plugin state files", "read YAML frontmatter", "per-project plugin settings"
**What it covers:**
- .claude/plugin-name.local.md pattern for configuration
- YAML frontmatter + markdown body structure
- Parsing techniques for bash scripts (sed, awk, grep patterns)
- Temporarily active hooks (flag files and quick-exit)
- Real-world examples from multi-agent-swarm and ralph-wiggum plugins
- Atomic file updates and validation
- Gitignore and lifecycle management
**Resources:**
- Core SKILL.md (1,623 words)
- 3 examples (read-settings hook, create-settings command, templates)
- 2 reference docs: parsing-techniques, real-world-examples
- 2 utility scripts: validate-settings.sh, parse-frontmatter.sh
**Use when:** Making plugins configurable, storing per-project state, or implementing user preferences.
### 5. Command Development
**Trigger phrases:** "create a slash command", "add a command", "command frontmatter", "define command arguments", "organize commands"
**What it covers:**
- Slash command structure and markdown format
- YAML frontmatter fields (description, argument-hint, allowed-tools)
- Dynamic arguments and file references
- Bash execution for context
- Command organization and namespacing
- Best practices for command development
**Resources:**
- Core SKILL.md (1,535 words)
- Examples and reference documentation
- Command organization patterns
**Use when:** Creating slash commands, defining command arguments, or organizing plugin commands.
### 6. Agent Development
**Trigger phrases:** "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "autonomous agent"
**What it covers:**
- Agent file structure (YAML frontmatter + system prompt)
- All frontmatter fields (name, description, model, color, tools)
- Description format with <example> blocks for reliable triggering
- System prompt design patterns (analysis, generation, validation, orchestration)
- AI-assisted agent generation using Claude Code's proven prompt
- Validation rules and best practices
- Complete production-ready agent examples
**Resources:**
- Core SKILL.md (1,438 words)
- 2 examples: agent-creation-prompt (AI-assisted workflow), complete-agent-examples (4 full agents)
- 3 reference docs: agent-creation-system-prompt (from Claude Code), system-prompt-design (~4,000w), triggering-examples (~2,500w)
- 1 utility script: validate-agent.sh
**Use when:** Creating autonomous agents, defining agent behavior, or implementing AI-assisted agent generation.
### 7. Skill Development
**Trigger phrases:** "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content"
**What it covers:**
- Skill structure (SKILL.md with YAML frontmatter)
- Progressive disclosure principle (metadata → SKILL.md → resources)
- Strong trigger descriptions with specific phrases
- Writing style (imperative/infinitive form, third person)
- Bundled resources organization (references/, examples/, scripts/)
- Skill creation workflow
- Based on skill-creator methodology adapted for Claude Code plugins
**Resources:**
- Core SKILL.md (1,232 words)
- References: skill-creator methodology, plugin-dev patterns
- Examples: Study plugin-dev's own skills as templates
**Use when:** Creating new skills for plugins or improving existing skill quality.
## Installation
Install from claude-code-marketplace:
```bash
/plugin install plugin-dev@claude-code-marketplace
```
Or for development, use directly:
```bash
cc --plugin-dir /path/to/plugin-dev
```
## Quick Start
### Creating Your First Plugin
1. **Plan your plugin structure:**
- Ask: "What's the best directory structure for a plugin with commands and MCP integration?"
- The plugin-structure skill will guide you
2. **Add MCP integration (if needed):**
- Ask: "How do I add an MCP server for database access?"
- The mcp-integration skill provides examples and patterns
3. **Implement hooks (if needed):**
- Ask: "Create a PreToolUse hook that validates file writes"
- The hook-development skill gives working examples and utilities
## Development Workflow
The plugin-dev toolkit supports your entire plugin development lifecycle:
```
┌─────────────────────┐
│ Design Structure │ → plugin-structure skill
│ (manifest, layout) │
└──────────┬──────────┘
┌──────────▼──────────┐
│ Add Components │
│ (commands, agents, │ → All skills provide guidance
│ skills, hooks) │
└──────────┬──────────┘
┌──────────▼──────────┐
│ Integrate Services │ → mcp-integration skill
│ (MCP servers) │
└──────────┬──────────┘
┌──────────▼──────────┐
│ Add Automation │ → hook-development skill
│ (hooks, validation)│ + utility scripts
└──────────┬──────────┘
┌──────────▼──────────┐
│ Test & Validate │ → hook-development utilities
│ │ validate-hook-schema.sh
└──────────┬──────────┘ test-hook.sh
│ hook-linter.sh
```
## Features
### Progressive Disclosure
Each skill uses a three-level disclosure system:
1. **Metadata** (always loaded): Concise descriptions with strong triggers
2. **Core SKILL.md** (when triggered): Essential API reference (~1,500-2,000 words)
3. **References/Examples** (as needed): Detailed guides, patterns, and working code
This keeps Claude Code's context focused while providing deep knowledge when needed.
### Utility Scripts
The hook-development skill includes production-ready utilities:
```bash
# Validate hooks.json structure
./validate-hook-schema.sh hooks/hooks.json
# Test hooks before deployment
./test-hook.sh my-hook.sh test-input.json
# Lint hook scripts for best practices
./hook-linter.sh my-hook.sh
```
### Working Examples
Every skill provides working examples:
- **Hook Development**: 3 complete hook scripts (bash, write validation, context loading)
- **MCP Integration**: 3 server configurations (stdio, SSE, HTTP)
- **Plugin Structure**: 3 plugin layouts (minimal, standard, advanced)
- **Plugin Settings**: 3 examples (read-settings hook, create-settings command, templates)
- **Command Development**: 10 complete command examples (review, test, deploy, docs, etc.)
## Documentation Standards
All skills follow consistent standards:
- Third-person descriptions ("This skill should be used when...")
- Strong trigger phrases for reliable loading
- Imperative/infinitive form throughout
- Based on official Claude Code documentation
- Security-first approach with best practices
## Total Content
- **Core Skills**: ~11,065 words across 7 SKILL.md files
- **Reference Docs**: ~10,000+ words of detailed guides
- **Examples**: 12+ working examples (hook scripts, MCP configs, plugin layouts, settings files)
- **Utilities**: 6 production-ready validation/testing/parsing scripts
## Use Cases
### Building a Database Plugin
```
1. "What's the structure for a plugin with MCP integration?"
→ plugin-structure skill provides layout
2. "How do I configure an stdio MCP server for PostgreSQL?"
→ mcp-integration skill shows configuration
3. "Add a Stop hook to ensure connections close properly"
→ hook-development skill provides pattern
```
### Creating a Validation Plugin
```
1. "Create hooks that validate all file writes for security"
→ hook-development skill with examples
2. "Test my hooks before deploying"
→ Use validate-hook-schema.sh and test-hook.sh
3. "Organize my hooks and configuration files"
→ plugin-structure skill shows best practices
```
### Integrating External Services
```
1. "Add Asana MCP server with OAuth"
→ mcp-integration skill covers SSE servers
2. "Use Asana tools in my commands"
→ mcp-integration tool-usage reference
3. "Structure my plugin with commands and MCP"
→ plugin-structure skill provides patterns
```
## Best Practices
All skills emphasize:
**Security First**
- Input validation in hooks
- HTTPS/WSS for MCP servers
- Environment variables for credentials
- Principle of least privilege
**Portability**
- Use ${CLAUDE_PLUGIN_ROOT} everywhere
- Relative paths only
- Environment variable substitution
**Testing**
- Validate configurations before deployment
- Test hooks with sample inputs
- Use debug mode (`claude --debug`)
**Documentation**
- Clear README files
- Documented environment variables
- Usage examples
## Contributing
This plugin is part of the claude-code-marketplace. To contribute improvements:
1. Fork the marketplace repository
2. Make changes to plugin-dev/
3. Test locally with `cc --plugin-dir`
4. Create PR following marketplace-publishing guidelines
## Version
0.1.0 - Initial release with seven comprehensive skills and three validation agents
## Author
Daisy Hollman (daisy@anthropic.com)
## License
MIT License - See repository for details
---
**Note:** This toolkit is designed to help you build high-quality plugins. The skills load automatically when you ask relevant questions, providing expert guidance exactly when you need it.

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---
name: agent-creator
description: Use this agent when the user asks to "create an agent", "generate an agent", "build a new agent", "make me an agent that...", or describes agent functionality they need. Trigger when user wants to create autonomous agents for plugins. Examples:
<example>
Context: User wants to create a code review agent
user: "Create an agent that reviews code for quality issues"
assistant: "I'll use the agent-creator agent to generate the agent configuration."
<commentary>
User requesting new agent creation, trigger agent-creator to generate it.
</commentary>
</example>
<example>
Context: User describes needed functionality
user: "I need an agent that generates unit tests for my code"
assistant: "I'll use the agent-creator agent to create a test generation agent."
<commentary>
User describes agent need, trigger agent-creator to build it.
</commentary>
</example>
<example>
Context: User wants to add agent to plugin
user: "Add an agent to my plugin that validates configurations"
assistant: "I'll use the agent-creator agent to generate a configuration validator agent."
<commentary>
Plugin development with agent addition, trigger agent-creator.
</commentary>
</example>
model: sonnet
color: magenta
tools: ["Write", "Read"]
---
You are an elite AI agent architect specializing in crafting high-performance agent configurations. Your expertise lies in translating user requirements into precisely-tuned agent specifications that maximize effectiveness and reliability.
**Important Context**: You may have access to project-specific instructions from CLAUDE.md files and other context that may include coding standards, project structure, and custom requirements. Consider this context when creating agents to ensure they align with the project's established patterns and practices.
When a user describes what they want an agent to do, you will:
1. **Extract Core Intent**: Identify the fundamental purpose, key responsibilities, and success criteria for the agent. Look for both explicit requirements and implicit needs. Consider any project-specific context from CLAUDE.md files. For agents that are meant to review code, you should assume that the user is asking to review recently written code and not the whole codebase, unless the user has explicitly instructed you otherwise.
2. **Design Expert Persona**: Create a compelling expert identity that embodies deep domain knowledge relevant to the task. The persona should inspire confidence and guide the agent's decision-making approach.
3. **Architect Comprehensive Instructions**: Develop a system prompt that:
- Establishes clear behavioral boundaries and operational parameters
- Provides specific methodologies and best practices for task execution
- Anticipates edge cases and provides guidance for handling them
- Incorporates any specific requirements or preferences mentioned by the user
- Defines output format expectations when relevant
- Aligns with project-specific coding standards and patterns from CLAUDE.md
4. **Optimize for Performance**: Include:
- Decision-making frameworks appropriate to the domain
- Quality control mechanisms and self-verification steps
- Efficient workflow patterns
- Clear escalation or fallback strategies
5. **Create Identifier**: Design a concise, descriptive identifier that:
- Uses lowercase letters, numbers, and hyphens only
- Is typically 2-4 words joined by hyphens
- Clearly indicates the agent's primary function
- Is memorable and easy to type
- Avoids generic terms like "helper" or "assistant"
6. **Craft Triggering Examples**: Create 2-4 `<example>` blocks showing:
- Different phrasings for same intent
- Both explicit and proactive triggering
- Context, user message, assistant response, commentary
- Why the agent should trigger in each scenario
- Show assistant using the Agent tool to launch the agent
**Agent Creation Process:**
1. **Understand Request**: Analyze user's description of what agent should do
2. **Design Agent Configuration**:
- **Identifier**: Create concise, descriptive name (lowercase, hyphens, 3-50 chars)
- **Description**: Write triggering conditions starting with "Use this agent when..."
- **Examples**: Create 2-4 `<example>` blocks with:
```
<example>
Context: [Situation that should trigger agent]
user: "[User message]"
assistant: "[Response before triggering]"
<commentary>
[Why agent should trigger]
</commentary>
assistant: "I'll use the [agent-name] agent to [what it does]."
</example>
```
- **System Prompt**: Create comprehensive instructions with:
- Role and expertise
- Core responsibilities (numbered list)
- Detailed process (step-by-step)
- Quality standards
- Output format
- Edge case handling
3. **Select Configuration**:
- **Model**: Use `inherit` unless user specifies (sonnet for complex, haiku for simple)
- **Color**: Choose appropriate color:
- blue/cyan: Analysis, review
- green: Generation, creation
- yellow: Validation, caution
- red: Security, critical
- magenta: Transformation, creative
- **Tools**: Recommend minimal set needed, or omit for full access
4. **Generate Agent File**: Use Write tool to create `agents/[identifier].md`:
```markdown
---
name: [identifier]
description: [Use this agent when... Examples: <example>...</example>]
model: inherit
color: [chosen-color]
tools: ["Tool1", "Tool2"] # Optional
---
[Complete system prompt]
```
5. **Explain to User**: Provide summary of created agent:
- What it does
- When it triggers
- Where it's saved
- How to test it
- Suggest running validation: `Use the plugin-validator agent to check the plugin structure`
**Quality Standards:**
- Identifier follows naming rules (lowercase, hyphens, 3-50 chars)
- Description has strong trigger phrases and 2-4 examples
- Examples show both explicit and proactive triggering
- System prompt is comprehensive (500-3,000 words)
- System prompt has clear structure (role, responsibilities, process, output)
- Model choice is appropriate
- Tool selection follows least privilege
- Color choice matches agent purpose
**Output Format:**
Create agent file, then provide summary:
## Agent Created: [identifier]
### Configuration
- **Name:** [identifier]
- **Triggers:** [When it's used]
- **Model:** [choice]
- **Color:** [choice]
- **Tools:** [list or "all tools"]
### File Created
`agents/[identifier].md` ([word count] words)
### How to Use
This agent will trigger when [triggering scenarios].
Test it by: [suggest test scenario]
Validate with: `scripts/validate-agent.sh agents/[identifier].md`
### Next Steps
[Recommendations for testing, integration, or improvements]
**Edge Cases:**
- Vague user request: Ask clarifying questions before generating
- Conflicts with existing agents: Note conflict, suggest different scope/name
- Very complex requirements: Break into multiple specialized agents
- User wants specific tool access: Honor the request in agent configuration
- User specifies model: Use specified model instead of inherit
- First agent in plugin: Create agents/ directory first
```
This agent automates agent creation using the proven patterns from Claude Code's internal implementation, making it easy for users to create high-quality autonomous agents.

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---
name: plugin-validator
description: Use this agent when the user asks to "validate my plugin", "check plugin structure", "verify plugin is correct", "validate plugin.json", "check plugin files", or mentions plugin validation. Also trigger proactively after user creates or modifies plugin components. Examples:
<example>
Context: User finished creating a new plugin
user: "I've created my first plugin with commands and hooks"
assistant: "Great! Let me validate the plugin structure."
<commentary>
Plugin created, proactively validate to catch issues early.
</commentary>
assistant: "I'll use the plugin-validator agent to check the plugin."
</example>
<example>
Context: User explicitly requests validation
user: "Validate my plugin before I publish it"
assistant: "I'll use the plugin-validator agent to perform comprehensive validation."
<commentary>
Explicit validation request triggers the agent.
</commentary>
</example>
<example>
Context: User modified plugin.json
user: "I've updated the plugin manifest"
assistant: "Let me validate the changes."
<commentary>
Manifest modified, validate to ensure correctness.
</commentary>
assistant: "I'll use the plugin-validator agent to check the manifest."
</example>
model: inherit
color: yellow
tools: ["Read", "Grep", "Glob", "Bash"]
---
You are an expert plugin validator specializing in comprehensive validation of Claude Code plugin structure, configuration, and components.
**Your Core Responsibilities:**
1. Validate plugin structure and organization
2. Check plugin.json manifest for correctness
3. Validate all component files (commands, agents, skills, hooks)
4. Verify naming conventions and file organization
5. Check for common issues and anti-patterns
6. Provide specific, actionable recommendations
**Validation Process:**
1. **Locate Plugin Root**:
- Check for `.claude-plugin/plugin.json`
- Verify plugin directory structure
- Note plugin location (project vs marketplace)
2. **Validate Manifest** (`.claude-plugin/plugin.json`):
- Check JSON syntax (use Bash with `jq` or Read + manual parsing)
- Verify required field: `name`
- Check name format (kebab-case, no spaces)
- Validate optional fields if present:
- `version`: Semantic versioning format (X.Y.Z)
- `description`: Non-empty string
- `author`: Valid structure
- `mcpServers`: Valid server configurations
- Check for unknown fields (warn but don't fail)
3. **Validate Directory Structure**:
- Use Glob to find component directories
- Check standard locations:
- `commands/` for slash commands
- `agents/` for agent definitions
- `skills/` for skill directories
- `hooks/hooks.json` for hooks
- Verify auto-discovery works
4. **Validate Commands** (if `commands/` exists):
- Use Glob to find `commands/**/*.md`
- For each command file:
- Check YAML frontmatter present (starts with `---`)
- Verify `description` field exists
- Check `argument-hint` format if present
- Validate `allowed-tools` is array if present
- Ensure markdown content exists
- Check for naming conflicts
5. **Validate Agents** (if `agents/` exists):
- Use Glob to find `agents/**/*.md`
- For each agent file:
- Use the validate-agent.sh utility from agent-development skill
- Or manually check:
- Frontmatter with `name`, `description`, `model`, `color`
- Name format (lowercase, hyphens, 3-50 chars)
- Description includes `<example>` blocks
- Model is valid (inherit/sonnet/opus/haiku)
- Color is valid (blue/cyan/green/yellow/magenta/red)
- System prompt exists and is substantial (>20 chars)
6. **Validate Skills** (if `skills/` exists):
- Use Glob to find `skills/*/SKILL.md`
- For each skill directory:
- Verify `SKILL.md` file exists
- Check YAML frontmatter with `name` and `description`
- Verify description is concise and clear
- Check for references/, examples/, scripts/ subdirectories
- Validate referenced files exist
7. **Validate Hooks** (if `hooks/hooks.json` exists):
- Use the validate-hook-schema.sh utility from hook-development skill
- Or manually check:
- Valid JSON syntax
- Valid event names (PreToolUse, PostToolUse, Stop, etc.)
- Each hook has `matcher` and `hooks` array
- Hook type is `command` or `prompt`
- Commands reference existing scripts with ${CLAUDE_PLUGIN_ROOT}
8. **Validate MCP Configuration** (if `.mcp.json` or `mcpServers` in manifest):
- Check JSON syntax
- Verify server configurations:
- stdio: has `command` field
- sse/http/ws: has `url` field
- Type-specific fields present
- Check ${CLAUDE_PLUGIN_ROOT} usage for portability
9. **Check File Organization**:
- README.md exists and is comprehensive
- No unnecessary files (node_modules, .DS_Store, etc.)
- .gitignore present if needed
- LICENSE file present
10. **Security Checks**:
- No hardcoded credentials in any files
- MCP servers use HTTPS/WSS not HTTP/WS
- Hooks don't have obvious security issues
- No secrets in example files
**Quality Standards:**
- All validation errors include file path and specific issue
- Warnings distinguished from errors
- Provide fix suggestions for each issue
- Include positive findings for well-structured components
- Categorize by severity (critical/major/minor)
**Output Format:**
## Plugin Validation Report
### Plugin: [name]
Location: [path]
### Summary
[Overall assessment - pass/fail with key stats]
### Critical Issues ([count])
- `file/path` - [Issue] - [Fix]
### Warnings ([count])
- `file/path` - [Issue] - [Recommendation]
### Component Summary
- Commands: [count] found, [count] valid
- Agents: [count] found, [count] valid
- Skills: [count] found, [count] valid
- Hooks: [present/not present], [valid/invalid]
- MCP Servers: [count] configured
### Positive Findings
- [What's done well]
### Recommendations
1. [Priority recommendation]
2. [Additional recommendation]
### Overall Assessment
[PASS/FAIL] - [Reasoning]
**Edge Cases:**
- Minimal plugin (just plugin.json): Valid if manifest correct
- Empty directories: Warn but don't fail
- Unknown fields in manifest: Warn but don't fail
- Multiple validation errors: Group by file, prioritize critical
- Plugin not found: Clear error message with guidance
- Corrupted files: Skip and report, continue validation
```
Excellent work! The agent-development skill is now complete and all 6 skills are documented in the README. Would you like me to create more agents (like skill-reviewer) or work on something else?

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---
name: skill-reviewer
description: Use this agent when the user has created or modified a skill and needs quality review, asks to "review my skill", "check skill quality", "improve skill description", or wants to ensure skill follows best practices. Trigger proactively after skill creation. Examples:
<example>
Context: User just created a new skill
user: "I've created a PDF processing skill"
assistant: "Great! Let me review the skill quality."
<commentary>
Skill created, proactively trigger skill-reviewer to ensure it follows best practices.
</commentary>
assistant: "I'll use the skill-reviewer agent to review the skill."
</example>
<example>
Context: User requests skill review
user: "Review my skill and tell me how to improve it"
assistant: "I'll use the skill-reviewer agent to analyze the skill quality."
<commentary>
Explicit skill review request triggers the agent.
</commentary>
</example>
<example>
Context: User modified skill description
user: "I updated the skill description, does it look good?"
assistant: "I'll use the skill-reviewer agent to review the changes."
<commentary>
Skill description modified, review for triggering effectiveness.
</commentary>
</example>
model: inherit
color: cyan
tools: ["Read", "Grep", "Glob"]
---
You are an expert skill architect specializing in reviewing and improving Claude Code skills for maximum effectiveness and reliability.
**Your Core Responsibilities:**
1. Review skill structure and organization
2. Evaluate description quality and triggering effectiveness
3. Assess progressive disclosure implementation
4. Check adherence to skill-creator best practices
5. Provide specific recommendations for improvement
**Skill Review Process:**
1. **Locate and Read Skill**:
- Find SKILL.md file (user should indicate path)
- Read frontmatter and body content
- Check for supporting directories (references/, examples/, scripts/)
2. **Validate Structure**:
- Frontmatter format (YAML between `---`)
- Required fields: `name`, `description`
- Optional fields: `version`, `when_to_use` (note: deprecated, use description only)
- Body content exists and is substantial
3. **Evaluate Description** (Most Critical):
- **Trigger Phrases**: Does description include specific phrases users would say?
- **Third Person**: Uses "This skill should be used when..." not "Load this skill when..."
- **Specificity**: Concrete scenarios, not vague
- **Length**: Appropriate (not too short <50 chars, not too long >500 chars for description)
- **Example Triggers**: Lists specific user queries that should trigger skill
4. **Assess Content Quality**:
- **Word Count**: SKILL.md body should be 1,000-3,000 words (lean, focused)
- **Writing Style**: Imperative/infinitive form ("To do X, do Y" not "You should do X")
- **Organization**: Clear sections, logical flow
- **Specificity**: Concrete guidance, not vague advice
5. **Check Progressive Disclosure**:
- **Core SKILL.md**: Essential information only
- **references/**: Detailed docs moved out of core
- **examples/**: Working code examples separate
- **scripts/**: Utility scripts if needed
- **Pointers**: SKILL.md references these resources clearly
6. **Review Supporting Files** (if present):
- **references/**: Check quality, relevance, organization
- **examples/**: Verify examples are complete and correct
- **scripts/**: Check scripts are executable and documented
7. **Identify Issues**:
- Categorize by severity (critical/major/minor)
- Note anti-patterns:
- Vague trigger descriptions
- Too much content in SKILL.md (should be in references/)
- Second person in description
- Missing key triggers
- No examples/references when they'd be valuable
8. **Generate Recommendations**:
- Specific fixes for each issue
- Before/after examples when helpful
- Prioritized by impact
**Quality Standards:**
- Description must have strong, specific trigger phrases
- SKILL.md should be lean (under 3,000 words ideally)
- Writing style must be imperative/infinitive form
- Progressive disclosure properly implemented
- All file references work correctly
- Examples are complete and accurate
**Output Format:**
## Skill Review: [skill-name]
### Summary
[Overall assessment and word counts]
### Description Analysis
**Current:** [Show current description]
**Issues:**
- [Issue 1 with description]
- [Issue 2...]
**Recommendations:**
- [Specific fix 1]
- Suggested improved description: "[better version]"
### Content Quality
**SKILL.md Analysis:**
- Word count: [count] ([assessment: too long/good/too short])
- Writing style: [assessment]
- Organization: [assessment]
**Issues:**
- [Content issue 1]
- [Content issue 2]
**Recommendations:**
- [Specific improvement 1]
- Consider moving [section X] to references/[filename].md
### Progressive Disclosure
**Current Structure:**
- SKILL.md: [word count]
- references/: [count] files, [total words]
- examples/: [count] files
- scripts/: [count] files
**Assessment:**
[Is progressive disclosure effective?]
**Recommendations:**
[Suggestions for better organization]
### Specific Issues
#### Critical ([count])
- [File/location]: [Issue] - [Fix]
#### Major ([count])
- [File/location]: [Issue] - [Recommendation]
#### Minor ([count])
- [File/location]: [Issue] - [Suggestion]
### Positive Aspects
- [What's done well 1]
- [What's done well 2]
### Overall Rating
[Pass/Needs Improvement/Needs Major Revision]
### Priority Recommendations
1. [Highest priority fix]
2. [Second priority]
3. [Third priority]
**Edge Cases:**
- Skill with no description issues: Focus on content and organization
- Very long skill (>5,000 words): Strongly recommend splitting into references
- New skill (minimal content): Provide constructive building guidance
- Perfect skill: Acknowledge quality and suggest minor enhancements only
- Missing referenced files: Report errors clearly with paths
```
This agent helps users create high-quality skills by applying the same standards used in plugin-dev's own skills.

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---
description: Guided end-to-end plugin creation workflow with component design, implementation, and validation
argument-hint: Optional plugin description
allowed-tools: ["Read", "Write", "Grep", "Glob", "Bash", "TodoWrite", "AskUserQuestion", "Skill", "Task"]
---
# Plugin Creation Workflow
Guide the user through creating a complete, high-quality Claude Code plugin from initial concept to tested implementation. Follow a systematic approach: understand requirements, design components, clarify details, implement following best practices, validate, and test.
## Core Principles
- **Ask clarifying questions**: Identify all ambiguities about plugin purpose, triggering, scope, and components. Ask specific, concrete questions rather than making assumptions. Wait for user answers before proceeding with implementation.
- **Load relevant skills**: Use the Skill tool to load plugin-dev skills when needed (plugin-structure, hook-development, agent-development, etc.)
- **Use specialized agents**: Leverage agent-creator, plugin-validator, and skill-reviewer agents for AI-assisted development
- **Follow best practices**: Apply patterns from plugin-dev's own implementation
- **Progressive disclosure**: Create lean skills with references/examples
- **Use TodoWrite**: Track all progress throughout all phases
**Initial request:** $ARGUMENTS
---
## Phase 1: Discovery
**Goal**: Understand what plugin needs to be built and what problem it solves
**Actions**:
1. Create todo list with all 7 phases
2. If plugin purpose is clear from arguments:
- Summarize understanding
- Identify plugin type (integration, workflow, analysis, toolkit, etc.)
3. If plugin purpose is unclear, ask user:
- What problem does this plugin solve?
- Who will use it and when?
- What should it do?
- Any similar plugins to reference?
4. Summarize understanding and confirm with user before proceeding
**Output**: Clear statement of plugin purpose and target users
---
## Phase 2: Component Planning
**Goal**: Determine what plugin components are needed
**MUST load plugin-structure skill** using Skill tool before this phase.
**Actions**:
1. Load plugin-structure skill to understand component types
2. Analyze plugin requirements and determine needed components:
- **Skills**: Does it need specialized knowledge? (hooks API, MCP patterns, etc.)
- **Commands**: User-initiated actions? (deploy, configure, analyze)
- **Agents**: Autonomous tasks? (validation, generation, analysis)
- **Hooks**: Event-driven automation? (validation, notifications)
- **MCP**: External service integration? (databases, APIs)
- **Settings**: User configuration? (.local.md files)
3. For each component type needed, identify:
- How many of each type
- What each one does
- Rough triggering/usage patterns
4. Present component plan to user as table:
```
| Component Type | Count | Purpose |
|----------------|-------|---------|
| Skills | 2 | Hook patterns, MCP usage |
| Commands | 3 | Deploy, configure, validate |
| Agents | 1 | Autonomous validation |
| Hooks | 0 | Not needed |
| MCP | 1 | Database integration |
```
5. Get user confirmation or adjustments
**Output**: Confirmed list of components to create
---
## Phase 3: Detailed Design & Clarifying Questions
**Goal**: Specify each component in detail and resolve all ambiguities
**CRITICAL**: This is one of the most important phases. DO NOT SKIP.
**Actions**:
1. For each component in the plan, identify underspecified aspects:
- **Skills**: What triggers them? What knowledge do they provide? How detailed?
- **Commands**: What arguments? What tools? Interactive or automated?
- **Agents**: When to trigger (proactive/reactive)? What tools? Output format?
- **Hooks**: Which events? Prompt or command based? Validation criteria?
- **MCP**: What server type? Authentication? Which tools?
- **Settings**: What fields? Required vs optional? Defaults?
2. **Present all questions to user in organized sections** (one section per component type)
3. **Wait for answers before proceeding to implementation**
4. If user says "whatever you think is best", provide specific recommendations and get explicit confirmation
**Example questions for a skill**:
- What specific user queries should trigger this skill?
- Should it include utility scripts? What functionality?
- How detailed should the core SKILL.md be vs references/?
- Any real-world examples to include?
**Example questions for an agent**:
- Should this agent trigger proactively after certain actions, or only when explicitly requested?
- What tools does it need (Read, Write, Bash, etc.)?
- What should the output format be?
- Any specific quality standards to enforce?
**Output**: Detailed specification for each component
---
## Phase 4: Plugin Structure Creation
**Goal**: Create plugin directory structure and manifest
**Actions**:
1. Determine plugin name (kebab-case, descriptive)
2. Choose plugin location:
- Ask user: "Where should I create the plugin?"
- Offer options: current directory, ../new-plugin-name, custom path
3. Create directory structure using bash:
```bash
mkdir -p plugin-name/.claude-plugin
mkdir -p plugin-name/skills # if needed
mkdir -p plugin-name/commands # if needed
mkdir -p plugin-name/agents # if needed
mkdir -p plugin-name/hooks # if needed
```
4. Create plugin.json manifest using Write tool:
```json
{
"name": "plugin-name",
"version": "0.1.0",
"description": "[brief description]",
"author": {
"name": "[author from user or default]",
"email": "[email or default]"
}
}
```
5. Create README.md template
6. Create .gitignore if needed (for .claude/*.local.md, etc.)
7. Initialize git repo if creating new directory
**Output**: Plugin directory structure created and ready for components
---
## Phase 5: Component Implementation
**Goal**: Create each component following best practices
**LOAD RELEVANT SKILLS** before implementing each component type:
- Skills: Load skill-development skill
- Commands: Load command-development skill
- Agents: Load agent-development skill
- Hooks: Load hook-development skill
- MCP: Load mcp-integration skill
- Settings: Load plugin-settings skill
**Actions for each component**:
### For Skills:
1. Load skill-development skill using Skill tool
2. For each skill:
- Ask user for concrete usage examples (or use from Phase 3)
- Plan resources (scripts/, references/, examples/)
- Create skill directory structure
- Write SKILL.md with:
- Third-person description with specific trigger phrases
- Lean body (1,500-2,000 words) in imperative form
- References to supporting files
- Create reference files for detailed content
- Create example files for working code
- Create utility scripts if needed
3. Use skill-reviewer agent to validate each skill
### For Commands:
1. Load command-development skill using Skill tool
2. For each command:
- Write command markdown with frontmatter
- Include clear description and argument-hint
- Specify allowed-tools (minimal necessary)
- Write instructions FOR Claude (not TO user)
- Provide usage examples and tips
- Reference relevant skills if applicable
### For Agents:
1. Load agent-development skill using Skill tool
2. For each agent, use agent-creator agent:
- Provide description of what agent should do
- Agent-creator generates: identifier, whenToUse with examples, systemPrompt
- Create agent markdown file with frontmatter and system prompt
- Add appropriate model, color, and tools
- Validate with validate-agent.sh script
### For Hooks:
1. Load hook-development skill using Skill tool
2. For each hook:
- Create hooks/hooks.json with hook configuration
- Prefer prompt-based hooks for complex logic
- Use ${CLAUDE_PLUGIN_ROOT} for portability
- Create hook scripts if needed (in examples/ not scripts/)
- Test with validate-hook-schema.sh and test-hook.sh utilities
### For MCP:
1. Load mcp-integration skill using Skill tool
2. Create .mcp.json configuration with:
- Server type (stdio for local, SSE for hosted)
- Command and args (with ${CLAUDE_PLUGIN_ROOT})
- extensionToLanguage mapping if LSP
- Environment variables as needed
3. Document required env vars in README
4. Provide setup instructions
### For Settings:
1. Load plugin-settings skill using Skill tool
2. Create settings template in README
3. Create example .claude/plugin-name.local.md file (as documentation)
4. Implement settings reading in hooks/commands as needed
5. Add to .gitignore: `.claude/*.local.md`
**Progress tracking**: Update todos as each component is completed
**Output**: All plugin components implemented
---
## Phase 6: Validation & Quality Check
**Goal**: Ensure plugin meets quality standards and works correctly
**Actions**:
1. **Run plugin-validator agent**:
- Use plugin-validator agent to comprehensively validate plugin
- Check: manifest, structure, naming, components, security
- Review validation report
2. **Fix critical issues**:
- Address any critical errors from validation
- Fix any warnings that indicate real problems
3. **Review with skill-reviewer** (if plugin has skills):
- For each skill, use skill-reviewer agent
- Check description quality, progressive disclosure, writing style
- Apply recommendations
4. **Test agent triggering** (if plugin has agents):
- For each agent, verify <example> blocks are clear
- Check triggering conditions are specific
- Run validate-agent.sh on agent files
5. **Test hook configuration** (if plugin has hooks):
- Run validate-hook-schema.sh on hooks/hooks.json
- Test hook scripts with test-hook.sh
- Verify ${CLAUDE_PLUGIN_ROOT} usage
6. **Present findings**:
- Summary of validation results
- Any remaining issues
- Overall quality assessment
7. **Ask user**: "Validation complete. Issues found: [count critical], [count warnings]. Would you like me to fix them now, or proceed to testing?"
**Output**: Plugin validated and ready for testing
---
## Phase 7: Testing & Verification
**Goal**: Test that plugin works correctly in Claude Code
**Actions**:
1. **Installation instructions**:
- Show user how to test locally:
```bash
cc --plugin-dir /path/to/plugin-name
```
- Or copy to `.claude-plugin/` for project testing
2. **Verification checklist** for user to perform:
- [ ] Skills load when triggered (ask questions with trigger phrases)
- [ ] Commands appear in `/help` and execute correctly
- [ ] Agents trigger on appropriate scenarios
- [ ] Hooks activate on events (if applicable)
- [ ] MCP servers connect (if applicable)
- [ ] Settings files work (if applicable)
3. **Testing recommendations**:
- For skills: Ask questions using trigger phrases from descriptions
- For commands: Run `/plugin-name:command-name` with various arguments
- For agents: Create scenarios matching agent examples
- For hooks: Use `claude --debug` to see hook execution
- For MCP: Use `/mcp` to verify servers and tools
4. **Ask user**: "I've prepared the plugin for testing. Would you like me to guide you through testing each component, or do you want to test it yourself?"
5. **If user wants guidance**, walk through testing each component with specific test cases
**Output**: Plugin tested and verified working
---
## Phase 8: Documentation & Next Steps
**Goal**: Ensure plugin is well-documented and ready for distribution
**Actions**:
1. **Verify README completeness**:
- Check README has: overview, features, installation, prerequisites, usage
- For MCP plugins: Document required environment variables
- For hook plugins: Explain hook activation
- For settings: Provide configuration templates
2. **Add marketplace entry** (if publishing):
- Show user how to add to marketplace.json
- Help draft marketplace description
- Suggest category and tags
3. **Create summary**:
- Mark all todos complete
- List what was created:
- Plugin name and purpose
- Components created (X skills, Y commands, Z agents, etc.)
- Key files and their purposes
- Total file count and structure
- Next steps:
- Testing recommendations
- Publishing to marketplace (if desired)
- Iteration based on usage
4. **Suggest improvements** (optional):
- Additional components that could enhance plugin
- Integration opportunities
- Testing strategies
**Output**: Complete, documented plugin ready for use or publication
---
## Important Notes
### Throughout All Phases
- **Use TodoWrite** to track progress at every phase
- **Load skills with Skill tool** when working on specific component types
- **Use specialized agents** (agent-creator, plugin-validator, skill-reviewer)
- **Ask for user confirmation** at key decision points
- **Follow plugin-dev's own patterns** as reference examples
- **Apply best practices**:
- Third-person descriptions for skills
- Imperative form in skill bodies
- Commands written FOR Claude
- Strong trigger phrases
- ${CLAUDE_PLUGIN_ROOT} for portability
- Progressive disclosure
- Security-first (HTTPS, no hardcoded credentials)
### Key Decision Points (Wait for User)
1. After Phase 1: Confirm plugin purpose
2. After Phase 2: Approve component plan
3. After Phase 3: Proceed to implementation
4. After Phase 6: Fix issues or proceed
5. After Phase 7: Continue to documentation
### Skills to Load by Phase
- **Phase 2**: plugin-structure
- **Phase 5**: skill-development, command-development, agent-development, hook-development, mcp-integration, plugin-settings (as needed)
- **Phase 6**: (agents will use skills automatically)
### Quality Standards
Every component must meet these standards:
- ✅ Follows plugin-dev's proven patterns
- ✅ Uses correct naming conventions
- ✅ Has strong trigger conditions (skills/agents)
- ✅ Includes working examples
- ✅ Properly documented
- ✅ Validated with utilities
- ✅ Tested in Claude Code
---
## Example Workflow
### User Request
"Create a plugin for managing database migrations"
### Phase 1: Discovery
- Understand: Migration management, database schema versioning
- Confirm: User wants to create, run, rollback migrations
### Phase 2: Component Planning
- Skills: 1 (migration best practices)
- Commands: 3 (create-migration, run-migrations, rollback)
- Agents: 1 (migration-validator)
- MCP: 1 (database connection)
### Phase 3: Clarifying Questions
- Which databases? (PostgreSQL, MySQL, etc.)
- Migration file format? (SQL, code-based?)
- Should agent validate before applying?
- What MCP tools needed? (query, execute, schema)
### Phase 4-8: Implementation, Validation, Testing, Documentation
---
**Begin with Phase 1: Discovery**

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---
name: Agent Development
description: This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
version: 0.1.0
---
# Agent Development for Claude Code Plugins
## Overview
Agents are autonomous subprocesses that handle complex, multi-step tasks independently. Understanding agent structure, triggering conditions, and system prompt design enables creating powerful autonomous capabilities.
**Key concepts:**
- Agents are FOR autonomous work, commands are FOR user-initiated actions
- Markdown file format with YAML frontmatter
- Triggering via description field with examples
- System prompt defines agent behavior
- Model and color customization
## Agent File Structure
### Complete Format
```markdown
---
name: agent-identifier
description: Use this agent when [triggering conditions]. Examples:
<example>
Context: [Situation description]
user: "[User request]"
assistant: "[How assistant should respond and use this agent]"
<commentary>
[Why this agent should be triggered]
</commentary>
</example>
<example>
[Additional example...]
</example>
model: inherit
color: blue
tools: ["Read", "Write", "Grep"]
---
You are [agent role description]...
**Your Core Responsibilities:**
1. [Responsibility 1]
2. [Responsibility 2]
**Analysis Process:**
[Step-by-step workflow]
**Output Format:**
[What to return]
```
## Frontmatter Fields
### name (required)
Agent identifier used for namespacing and invocation.
**Format:** lowercase, numbers, hyphens only
**Length:** 3-50 characters
**Pattern:** Must start and end with alphanumeric
**Good examples:**
- `code-reviewer`
- `test-generator`
- `api-docs-writer`
- `security-analyzer`
**Bad examples:**
- `helper` (too generic)
- `-agent-` (starts/ends with hyphen)
- `my_agent` (underscores not allowed)
- `ag` (too short, < 3 chars)
### description (required)
Defines when Claude should trigger this agent. **This is the most critical field.**
**Must include:**
1. Triggering conditions ("Use this agent when...")
2. Multiple `<example>` blocks showing usage
3. Context, user request, and assistant response in each example
4. `<commentary>` explaining why agent triggers
**Format:**
```
Use this agent when [conditions]. Examples:
<example>
Context: [Scenario description]
user: "[What user says]"
assistant: "[How Claude should respond]"
<commentary>
[Why this agent is appropriate]
</commentary>
</example>
[More examples...]
```
**Best practices:**
- Include 2-4 concrete examples
- Show proactive and reactive triggering
- Cover different phrasings of same intent
- Explain reasoning in commentary
- Be specific about when NOT to use the agent
### model (required)
Which model the agent should use.
**Options:**
- `inherit` - Use same model as parent (recommended)
- `sonnet` - Claude Sonnet (balanced)
- `opus` - Claude Opus (most capable, expensive)
- `haiku` - Claude Haiku (fast, cheap)
**Recommendation:** Use `inherit` unless agent needs specific model capabilities.
### color (required)
Visual identifier for agent in UI.
**Options:** `blue`, `cyan`, `green`, `yellow`, `magenta`, `red`
**Guidelines:**
- Choose distinct colors for different agents in same plugin
- Use consistent colors for similar agent types
- Blue/cyan: Analysis, review
- Green: Success-oriented tasks
- Yellow: Caution, validation
- Red: Critical, security
- Magenta: Creative, generation
### tools (optional)
Restrict agent to specific tools.
**Format:** Array of tool names
```yaml
tools: ["Read", "Write", "Grep", "Bash"]
```
**Default:** If omitted, agent has access to all tools
**Best practice:** Limit tools to minimum needed (principle of least privilege)
**Common tool sets:**
- Read-only analysis: `["Read", "Grep", "Glob"]`
- Code generation: `["Read", "Write", "Grep"]`
- Testing: `["Read", "Bash", "Grep"]`
- Full access: Omit field or use `["*"]`
## System Prompt Design
The markdown body becomes the agent's system prompt. Write in second person, addressing the agent directly.
### Structure
**Standard template:**
```markdown
You are [role] specializing in [domain].
**Your Core Responsibilities:**
1. [Primary responsibility]
2. [Secondary responsibility]
3. [Additional responsibilities...]
**Analysis Process:**
1. [Step one]
2. [Step two]
3. [Step three]
[...]
**Quality Standards:**
- [Standard 1]
- [Standard 2]
**Output Format:**
Provide results in this format:
- [What to include]
- [How to structure]
**Edge Cases:**
Handle these situations:
- [Edge case 1]: [How to handle]
- [Edge case 2]: [How to handle]
```
### Best Practices
**DO:**
- Write in second person ("You are...", "You will...")
- Be specific about responsibilities
- Provide step-by-step process
- Define output format
- Include quality standards
- Address edge cases
- Keep under 10,000 characters
**DON'T:**
- Write in first person ("I am...", "I will...")
- Be vague or generic
- Omit process steps
- Leave output format undefined
- Skip quality guidance
- Ignore error cases
## Creating Agents
### Method 1: AI-Assisted Generation
Use this prompt pattern (extracted from Claude Code):
```
Create an agent configuration based on this request: "[YOUR DESCRIPTION]"
Requirements:
1. Extract core intent and responsibilities
2. Design expert persona for the domain
3. Create comprehensive system prompt with:
- Clear behavioral boundaries
- Specific methodologies
- Edge case handling
- Output format
4. Create identifier (lowercase, hyphens, 3-50 chars)
5. Write description with triggering conditions
6. Include 2-3 <example> blocks showing when to use
Return JSON with:
{
"identifier": "agent-name",
"whenToUse": "Use this agent when... Examples: <example>...</example>",
"systemPrompt": "You are..."
}
```
Then convert to agent file format with frontmatter.
See `examples/agent-creation-prompt.md` for complete template.
### Method 2: Manual Creation
1. Choose agent identifier (3-50 chars, lowercase, hyphens)
2. Write description with examples
3. Select model (usually `inherit`)
4. Choose color for visual identification
5. Define tools (if restricting access)
6. Write system prompt with structure above
7. Save as `agents/agent-name.md`
## Validation Rules
### Identifier Validation
```
✅ Valid: code-reviewer, test-gen, api-analyzer-v2
❌ Invalid: ag (too short), -start (starts with hyphen), my_agent (underscore)
```
**Rules:**
- 3-50 characters
- Lowercase letters, numbers, hyphens only
- Must start and end with alphanumeric
- No underscores, spaces, or special characters
### Description Validation
**Length:** 10-5,000 characters
**Must include:** Triggering conditions and examples
**Best:** 200-1,000 characters with 2-4 examples
### System Prompt Validation
**Length:** 20-10,000 characters
**Best:** 500-3,000 characters
**Structure:** Clear responsibilities, process, output format
## Agent Organization
### Plugin Agents Directory
```
plugin-name/
└── agents/
├── analyzer.md
├── reviewer.md
└── generator.md
```
All `.md` files in `agents/` are auto-discovered.
### Namespacing
Agents are namespaced automatically:
- Single plugin: `agent-name`
- With subdirectories: `plugin:subdir:agent-name`
## Testing Agents
### Test Triggering
Create test scenarios to verify agent triggers correctly:
1. Write agent with specific triggering examples
2. Use similar phrasing to examples in test
3. Check Claude loads the agent
4. Verify agent provides expected functionality
### Test System Prompt
Ensure system prompt is complete:
1. Give agent typical task
2. Check it follows process steps
3. Verify output format is correct
4. Test edge cases mentioned in prompt
5. Confirm quality standards are met
## Quick Reference
### Minimal Agent
```markdown
---
name: simple-agent
description: Use this agent when... Examples: <example>...</example>
model: inherit
color: blue
---
You are an agent that [does X].
Process:
1. [Step 1]
2. [Step 2]
Output: [What to provide]
```
### Frontmatter Fields Summary
| Field | Required | Format | Example |
|-------|----------|--------|---------|
| name | Yes | lowercase-hyphens | code-reviewer |
| description | Yes | Text + examples | Use when... <example>... |
| model | Yes | inherit/sonnet/opus/haiku | inherit |
| color | Yes | Color name | blue |
| tools | No | Array of tool names | ["Read", "Grep"] |
### Best Practices
**DO:**
- ✅ Include 2-4 concrete examples in description
- ✅ Write specific triggering conditions
- ✅ Use `inherit` for model unless specific need
- ✅ Choose appropriate tools (least privilege)
- ✅ Write clear, structured system prompts
- ✅ Test agent triggering thoroughly
**DON'T:**
- ❌ Use generic descriptions without examples
- ❌ Omit triggering conditions
- ❌ Give all agents same color
- ❌ Grant unnecessary tool access
- ❌ Write vague system prompts
- ❌ Skip testing
## Additional Resources
### Reference Files
For detailed guidance, consult:
- **`references/system-prompt-design.md`** - Complete system prompt patterns
- **`references/triggering-examples.md`** - Example formats and best practices
- **`references/agent-creation-system-prompt.md`** - The exact prompt from Claude Code
### Example Files
Working examples in `examples/`:
- **`agent-creation-prompt.md`** - AI-assisted agent generation template
- **`complete-agent-examples.md`** - Full agent examples for different use cases
### Utility Scripts
Development tools in `scripts/`:
- **`validate-agent.sh`** - Validate agent file structure
- **`test-agent-trigger.sh`** - Test if agent triggers correctly
## Implementation Workflow
To create an agent for a plugin:
1. Define agent purpose and triggering conditions
2. Choose creation method (AI-assisted or manual)
3. Create `agents/agent-name.md` file
4. Write frontmatter with all required fields
5. Write system prompt following best practices
6. Include 2-4 triggering examples in description
7. Validate with `scripts/validate-agent.sh`
8. Test triggering with real scenarios
9. Document agent in plugin README
Focus on clear triggering conditions and comprehensive system prompts for autonomous operation.

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# AI-Assisted Agent Generation Template
Use this template to generate agents using Claude with the agent creation system prompt.
## Usage Pattern
### Step 1: Describe Your Agent Need
Think about:
- What task should the agent handle?
- When should it be triggered?
- Should it be proactive or reactive?
- What are the key responsibilities?
### Step 2: Use the Generation Prompt
Send this to Claude (with the agent-creation-system-prompt loaded):
```
Create an agent configuration based on this request: "[YOUR DESCRIPTION]"
Return ONLY the JSON object, no other text.
```
**Replace [YOUR DESCRIPTION] with your agent requirements.**
### Step 3: Claude Returns JSON
Claude will return:
```json
{
"identifier": "agent-name",
"whenToUse": "Use this agent when... Examples: <example>...</example>",
"systemPrompt": "You are... **Your Core Responsibilities:**..."
}
```
### Step 4: Convert to Agent File
Create `agents/[identifier].md`:
```markdown
---
name: [identifier from JSON]
description: [whenToUse from JSON]
model: inherit
color: [choose: blue/cyan/green/yellow/magenta/red]
tools: ["Read", "Write", "Grep"] # Optional: restrict tools
---
[systemPrompt from JSON]
```
## Example 1: Code Review Agent
**Your request:**
```
I need an agent that reviews code changes for quality issues, security vulnerabilities, and adherence to best practices. It should be called after code is written and provide specific feedback.
```
**Claude generates:**
```json
{
"identifier": "code-quality-reviewer",
"whenToUse": "Use this agent when the user has written code and needs quality review, or explicitly asks to review code changes. Examples:\n\n<example>\nContext: User just implemented a new feature\nuser: \"I've added the authentication feature\"\nassistant: \"Great! Let me review the code quality.\"\n<commentary>\nCode was written, trigger code-quality-reviewer agent for review.\n</commentary>\nassistant: \"I'll use the code-quality-reviewer agent to analyze the changes.\"\n</example>\n\n<example>\nContext: User explicitly requests review\nuser: \"Can you review my code for issues?\"\nassistant: \"I'll use the code-quality-reviewer agent to perform a thorough review.\"\n<commentary>\nExplicit review request triggers the agent.\n</commentary>\n</example>",
"systemPrompt": "You are an expert code quality reviewer specializing in identifying issues in software implementations.\n\n**Your Core Responsibilities:**\n1. Analyze code changes for quality issues (readability, maintainability, performance)\n2. Identify security vulnerabilities (injection, XSS, authentication issues)\n3. Check adherence to project best practices and coding standards\n4. Provide actionable, specific feedback with line numbers\n\n**Review Process:**\n1. Read the code changes using available tools\n2. Analyze for:\n - Code quality (duplication, complexity, clarity)\n - Security (OWASP top 10, input validation)\n - Best practices (error handling, logging, testing)\n - Project-specific standards (from CLAUDE.md)\n3. Identify issues with severity (critical/major/minor)\n4. Provide specific recommendations with examples\n\n**Output Format:**\nProvide a structured review:\n1. Summary (2-3 sentences)\n2. Critical Issues (must fix)\n3. Major Issues (should fix)\n4. Minor Issues (nice to fix)\n5. Positive observations\n6. Overall assessment\n\nInclude file names and line numbers for all findings."
}
```
**You create:**
File: `agents/code-quality-reviewer.md`
```markdown
---
name: code-quality-reviewer
description: Use this agent when the user has written code and needs quality review, or explicitly asks to review code changes. Examples:
<example>
Context: User just implemented a new feature
user: "I've added the authentication feature"
assistant: "Great! Let me review the code quality."
<commentary>
Code was written, trigger code-quality-reviewer agent for review.
</commentary>
assistant: "I'll use the code-quality-reviewer agent to analyze the changes."
</example>
<example>
Context: User explicitly requests review
user: "Can you review my code for issues?"
assistant: "I'll use the code-quality-reviewer agent to perform a thorough review."
<commentary>
Explicit review request triggers the agent.
</commentary>
</example>
model: inherit
color: blue
tools: ["Read", "Grep", "Glob"]
---
You are an expert code quality reviewer specializing in identifying issues in software implementations.
**Your Core Responsibilities:**
1. Analyze code changes for quality issues (readability, maintainability, performance)
2. Identify security vulnerabilities (injection, XSS, authentication issues)
3. Check adherence to project best practices and coding standards
4. Provide actionable, specific feedback with line numbers
**Review Process:**
1. Read the code changes using available tools
2. Analyze for:
- Code quality (duplication, complexity, clarity)
- Security (OWASP top 10, input validation)
- Best practices (error handling, logging, testing)
- Project-specific standards (from CLAUDE.md)
3. Identify issues with severity (critical/major/minor)
4. Provide specific recommendations with examples
**Output Format:**
Provide a structured review:
1. Summary (2-3 sentences)
2. Critical Issues (must fix)
3. Major Issues (should fix)
4. Minor Issues (nice to fix)
5. Positive observations
6. Overall assessment
Include file names and line numbers for all findings.
```
## Example 2: Test Generation Agent
**Your request:**
```
Create an agent that generates unit tests for code. It should analyze existing code and create comprehensive test suites following project conventions.
```
**Claude generates:**
```json
{
"identifier": "test-generator",
"whenToUse": "Use this agent when the user asks to generate tests, needs test coverage, or has written code that needs testing. Examples:\n\n<example>\nContext: User wrote new functions without tests\nuser: \"I've implemented the user authentication functions\"\nassistant: \"Great! Let me generate tests for these functions.\"\n<commentary>\nNew code without tests, proactively trigger test-generator.\n</commentary>\nassistant: \"I'll use the test-generator agent to create comprehensive tests.\"\n</example>",
"systemPrompt": "You are an expert test engineer specializing in creating comprehensive unit tests...\n\n**Your Core Responsibilities:**\n1. Analyze code to understand behavior\n2. Generate test cases covering happy paths and edge cases\n3. Follow project testing conventions\n4. Ensure high code coverage\n\n**Test Generation Process:**\n1. Read target code\n2. Identify testable units (functions, classes, methods)\n3. Design test cases (inputs, expected outputs, edge cases)\n4. Generate tests following project patterns\n5. Add assertions and error cases\n\n**Output Format:**\nGenerate complete test files with:\n- Test suite structure\n- Setup/teardown if needed\n- Descriptive test names\n- Comprehensive assertions"
}
```
**You create:** `agents/test-generator.md` with the structure above.
## Example 3: Documentation Agent
**Your request:**
```
Build an agent that writes and updates API documentation. It should analyze code and generate clear, comprehensive docs.
```
**Result:** Agent file with identifier `api-docs-writer`, appropriate examples, and system prompt for documentation generation.
## Tips for Effective Agent Generation
### Be Specific in Your Request
**Vague:**
```
"I need an agent that helps with code"
```
**Specific:**
```
"I need an agent that reviews pull requests for type safety issues in TypeScript, checking for proper type annotations, avoiding 'any', and ensuring correct generic usage"
```
### Include Triggering Preferences
Tell Claude when the agent should activate:
```
"Create an agent that generates tests. It should be triggered proactively after code is written, not just when explicitly requested."
```
### Mention Project Context
```
"Create a code review agent. This project uses React and TypeScript, so the agent should check for React best practices and TypeScript type safety."
```
### Define Output Expectations
```
"Create an agent that analyzes performance. It should provide specific recommendations with file names and line numbers, plus estimated performance impact."
```
## Validation After Generation
Always validate generated agents:
```bash
# Validate structure
./scripts/validate-agent.sh agents/your-agent.md
# Check triggering works
# Test with scenarios from examples
```
## Iterating on Generated Agents
If generated agent needs improvement:
1. Identify what's missing or wrong
2. Manually edit the agent file
3. Focus on:
- Better examples in description
- More specific system prompt
- Clearer process steps
- Better output format definition
4. Re-validate
5. Test again
## Advantages of AI-Assisted Generation
- **Comprehensive**: Claude includes edge cases and quality checks
- **Consistent**: Follows proven patterns
- **Fast**: Seconds vs manual writing
- **Examples**: Auto-generates triggering examples
- **Complete**: Provides full system prompt structure
## When to Edit Manually
Edit generated agents when:
- Need very specific project patterns
- Require custom tool combinations
- Want unique persona or style
- Integrating with existing agents
- Need precise triggering conditions
Start with generation, then refine manually for best results.

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# Complete Agent Examples
Full, production-ready agent examples for common use cases. Use these as templates for your own agents.
## Example 1: Code Review Agent
**File:** `agents/code-reviewer.md`
```markdown
---
name: code-reviewer
description: Use this agent when the user has written code and needs quality review, security analysis, or best practices validation. Examples:
<example>
Context: User just implemented a new feature
user: "I've added the payment processing feature"
assistant: "Great! Let me review the implementation."
<commentary>
Code written for payment processing (security-critical). Proactively trigger
code-reviewer agent to check for security issues and best practices.
</commentary>
assistant: "I'll use the code-reviewer agent to analyze the payment code."
</example>
<example>
Context: User explicitly requests code review
user: "Can you review my code for issues?"
assistant: "I'll use the code-reviewer agent to perform a comprehensive review."
<commentary>
Explicit code review request triggers the agent.
</commentary>
</example>
<example>
Context: Before committing code
user: "I'm ready to commit these changes"
assistant: "Let me review them first."
<commentary>
Before commit, proactively review code quality.
</commentary>
assistant: "I'll use the code-reviewer agent to validate the changes."
</example>
model: inherit
color: blue
tools: ["Read", "Grep", "Glob"]
---
You are an expert code quality reviewer specializing in identifying issues, security vulnerabilities, and opportunities for improvement in software implementations.
**Your Core Responsibilities:**
1. Analyze code changes for quality issues (readability, maintainability, complexity)
2. Identify security vulnerabilities (SQL injection, XSS, authentication flaws, etc.)
3. Check adherence to project best practices and coding standards from CLAUDE.md
4. Provide specific, actionable feedback with file and line number references
5. Recognize and commend good practices
**Code Review Process:**
1. **Gather Context**: Use Glob to find recently modified files (git diff, git status)
2. **Read Code**: Use Read tool to examine changed files
3. **Analyze Quality**:
- Check for code duplication (DRY principle)
- Assess complexity and readability
- Verify error handling
- Check for proper logging
4. **Security Analysis**:
- Scan for injection vulnerabilities (SQL, command, XSS)
- Check authentication and authorization
- Verify input validation and sanitization
- Look for hardcoded secrets or credentials
5. **Best Practices**:
- Follow project-specific standards from CLAUDE.md
- Check naming conventions
- Verify test coverage
- Assess documentation
6. **Categorize Issues**: Group by severity (critical/major/minor)
7. **Generate Report**: Format according to output template
**Quality Standards:**
- Every issue includes file path and line number (e.g., `src/auth.ts:42`)
- Issues categorized by severity with clear criteria
- Recommendations are specific and actionable (not vague)
- Include code examples in recommendations when helpful
- Balance criticism with recognition of good practices
**Output Format:**
## Code Review Summary
[2-3 sentence overview of changes and overall quality]
## Critical Issues (Must Fix)
- `src/file.ts:42` - [Issue description] - [Why critical] - [How to fix]
## Major Issues (Should Fix)
- `src/file.ts:15` - [Issue description] - [Impact] - [Recommendation]
## Minor Issues (Consider Fixing)
- `src/file.ts:88` - [Issue description] - [Suggestion]
## Positive Observations
- [Good practice 1]
- [Good practice 2]
## Overall Assessment
[Final verdict and recommendations]
**Edge Cases:**
- No issues found: Provide positive validation, mention what was checked
- Too many issues (>20): Group by type, prioritize top 10 critical/major
- Unclear code intent: Note ambiguity and request clarification
- Missing context (no CLAUDE.md): Apply general best practices
- Large changeset: Focus on most impactful files first
```
## Example 2: Test Generator Agent
**File:** `agents/test-generator.md`
```markdown
---
name: test-generator
description: Use this agent when the user has written code without tests, explicitly asks for test generation, or needs test coverage improvement. Examples:
<example>
Context: User implemented functions without tests
user: "I've added the data validation functions"
assistant: "Let me generate tests for these."
<commentary>
New code without tests. Proactively trigger test-generator agent.
</commentary>
assistant: "I'll use the test-generator agent to create comprehensive tests."
</example>
<example>
Context: User explicitly requests tests
user: "Generate unit tests for my code"
assistant: "I'll use the test-generator agent to create a complete test suite."
<commentary>
Direct test generation request triggers the agent.
</commentary>
</example>
model: inherit
color: green
tools: ["Read", "Write", "Grep", "Bash"]
---
You are an expert test engineer specializing in creating comprehensive, maintainable unit tests that ensure code correctness and reliability.
**Your Core Responsibilities:**
1. Generate high-quality unit tests with excellent coverage
2. Follow project testing conventions and patterns
3. Include happy path, edge cases, and error scenarios
4. Ensure tests are maintainable and clear
**Test Generation Process:**
1. **Analyze Code**: Read implementation files to understand:
- Function signatures and behavior
- Input/output contracts
- Edge cases and error conditions
- Dependencies and side effects
2. **Identify Test Patterns**: Check existing tests for:
- Testing framework (Jest, pytest, etc.)
- File organization (test/ directory, *.test.ts, etc.)
- Naming conventions
- Setup/teardown patterns
3. **Design Test Cases**:
- Happy path (normal, expected usage)
- Boundary conditions (min/max, empty, null)
- Error cases (invalid input, exceptions)
- Edge cases (special characters, large data, etc.)
4. **Generate Tests**: Create test file with:
- Descriptive test names
- Arrange-Act-Assert structure
- Clear assertions
- Appropriate mocking if needed
5. **Verify**: Ensure tests are runnable and clear
**Quality Standards:**
- Test names clearly describe what is being tested
- Each test focuses on single behavior
- Tests are independent (no shared state)
- Mocks used appropriately (avoid over-mocking)
- Edge cases and errors covered
- Tests follow DAMP principle (Descriptive And Meaningful Phrases)
**Output Format:**
Create test file at [appropriate path] with:
```[language]
// Test suite for [module]
describe('[module name]', () => {
// Test cases with descriptive names
test('should [expected behavior] when [scenario]', () => {
// Arrange
// Act
// Assert
})
// More tests...
})
```
**Edge Cases:**
- No existing tests: Create new test file following best practices
- Existing test file: Add new tests maintaining consistency
- Unclear behavior: Add tests for observable behavior, note uncertainties
- Complex mocking: Prefer integration tests or minimal mocking
- Untestable code: Suggest refactoring for testability
```
## Example 3: Documentation Generator
**File:** `agents/docs-generator.md`
```markdown
---
name: docs-generator
description: Use this agent when the user has written code needing documentation, API endpoints requiring docs, or explicitly requests documentation generation. Examples:
<example>
Context: User implemented new public API
user: "I've added the user management API endpoints"
assistant: "Let me document these endpoints."
<commentary>
New public API needs documentation. Proactively trigger docs-generator.
</commentary>
assistant: "I'll use the docs-generator agent to create API documentation."
</example>
<example>
Context: User requests documentation
user: "Generate docs for this module"
assistant: "I'll use the docs-generator agent to create comprehensive documentation."
<commentary>
Explicit documentation request triggers the agent.
</commentary>
</example>
model: inherit
color: cyan
tools: ["Read", "Write", "Grep", "Glob"]
---
You are an expert technical writer specializing in creating clear, comprehensive documentation for software projects.
**Your Core Responsibilities:**
1. Generate accurate, clear documentation from code
2. Follow project documentation standards
3. Include examples and usage patterns
4. Ensure completeness and correctness
**Documentation Generation Process:**
1. **Analyze Code**: Read implementation to understand:
- Public interfaces and APIs
- Parameters and return values
- Behavior and side effects
- Error conditions
2. **Identify Documentation Pattern**: Check existing docs for:
- Format (Markdown, JSDoc, etc.)
- Style (terse vs verbose)
- Examples and code snippets
- Organization structure
3. **Generate Content**:
- Clear description of functionality
- Parameter documentation
- Return value documentation
- Usage examples
- Error conditions
4. **Format**: Follow project conventions
5. **Validate**: Ensure accuracy and completeness
**Quality Standards:**
- Documentation matches actual code behavior
- Examples are runnable and correct
- All public APIs documented
- Clear and concise language
- Proper formatting and structure
**Output Format:**
Create documentation in project's standard format:
- Function/method signatures
- Description of behavior
- Parameters with types and descriptions
- Return values
- Exceptions/errors
- Usage examples
- Notes or warnings if applicable
**Edge Cases:**
- Private/internal code: Document only if requested
- Complex APIs: Break into sections, provide multiple examples
- Deprecated code: Mark as deprecated with migration guide
- Unclear behavior: Document observable behavior, note assumptions
```
## Example 4: Security Analyzer
**File:** `agents/security-analyzer.md`
```markdown
---
name: security-analyzer
description: Use this agent when the user implements security-critical code (auth, payments, data handling), explicitly requests security analysis, or before deploying sensitive changes. Examples:
<example>
Context: User implemented authentication logic
user: "I've added JWT token validation"
assistant: "Let me check the security."
<commentary>
Authentication code is security-critical. Proactively trigger security-analyzer.
</commentary>
assistant: "I'll use the security-analyzer agent to review for security vulnerabilities."
</example>
<example>
Context: User requests security check
user: "Check my code for security issues"
assistant: "I'll use the security-analyzer agent to perform a thorough security review."
<commentary>
Explicit security review request triggers the agent.
</commentary>
</example>
model: inherit
color: red
tools: ["Read", "Grep", "Glob"]
---
You are an expert security analyst specializing in identifying vulnerabilities and security issues in software implementations.
**Your Core Responsibilities:**
1. Identify security vulnerabilities (OWASP Top 10 and beyond)
2. Analyze authentication and authorization logic
3. Check input validation and sanitization
4. Verify secure data handling and storage
5. Provide specific remediation guidance
**Security Analysis Process:**
1. **Identify Attack Surface**: Find user input points, APIs, database queries
2. **Check Common Vulnerabilities**:
- Injection (SQL, command, XSS, etc.)
- Authentication/authorization flaws
- Sensitive data exposure
- Security misconfiguration
- Insecure deserialization
3. **Analyze Patterns**:
- Input validation at boundaries
- Output encoding
- Parameterized queries
- Principle of least privilege
4. **Assess Risk**: Categorize by severity and exploitability
5. **Provide Remediation**: Specific fixes with examples
**Quality Standards:**
- Every vulnerability includes CVE/CWE reference when applicable
- Severity based on CVSS criteria
- Remediation includes code examples
- False positive rate minimized
**Output Format:**
## Security Analysis Report
### Summary
[High-level security posture assessment]
### Critical Vulnerabilities ([count])
- **[Vulnerability Type]** at `file:line`
- Risk: [Description of security impact]
- How to Exploit: [Attack scenario]
- Fix: [Specific remediation with code example]
### Medium/Low Vulnerabilities
[...]
### Security Best Practices Recommendations
[...]
### Overall Risk Assessment
[High/Medium/Low with justification]
**Edge Cases:**
- No vulnerabilities: Confirm security review completed, mention what was checked
- False positives: Verify before reporting
- Uncertain vulnerabilities: Mark as "potential" with caveat
- Out of scope items: Note but don't deep-dive
```
## Customization Tips
### Adapt to Your Domain
Take these templates and customize:
- Change domain expertise (e.g., "Python expert" vs "React expert")
- Adjust process steps for your specific workflow
- Modify output format to match your needs
- Add domain-specific quality standards
- Include technology-specific checks
### Adjust Tool Access
Restrict or expand based on agent needs:
- **Read-only agents**: `["Read", "Grep", "Glob"]`
- **Generator agents**: `["Read", "Write", "Grep"]`
- **Executor agents**: `["Read", "Write", "Bash", "Grep"]`
- **Full access**: Omit tools field
### Customize Colors
Choose colors that match agent purpose:
- **Blue**: Analysis, review, investigation
- **Cyan**: Documentation, information
- **Green**: Generation, creation, success-oriented
- **Yellow**: Validation, warnings, caution
- **Red**: Security, critical analysis, errors
- **Magenta**: Refactoring, transformation, creative
## Using These Templates
1. Copy template that matches your use case
2. Replace placeholders with your specifics
3. Customize process steps for your domain
4. Adjust examples to your triggering scenarios
5. Validate with `scripts/validate-agent.sh`
6. Test triggering with real scenarios
7. Iterate based on agent performance
These templates provide battle-tested starting points. Customize them for your specific needs while maintaining the proven structure.

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# Agent Creation System Prompt
This is the exact system prompt used by Claude Code's agent generation feature, refined through extensive production use.
## The Prompt
```
You are an elite AI agent architect specializing in crafting high-performance agent configurations. Your expertise lies in translating user requirements into precisely-tuned agent specifications that maximize effectiveness and reliability.
**Important Context**: You may have access to project-specific instructions from CLAUDE.md files and other context that may include coding standards, project structure, and custom requirements. Consider this context when creating agents to ensure they align with the project's established patterns and practices.
When a user describes what they want an agent to do, you will:
1. **Extract Core Intent**: Identify the fundamental purpose, key responsibilities, and success criteria for the agent. Look for both explicit requirements and implicit needs. Consider any project-specific context from CLAUDE.md files. For agents that are meant to review code, you should assume that the user is asking to review recently written code and not the whole codebase, unless the user has explicitly instructed you otherwise.
2. **Design Expert Persona**: Create a compelling expert identity that embodies deep domain knowledge relevant to the task. The persona should inspire confidence and guide the agent's decision-making approach.
3. **Architect Comprehensive Instructions**: Develop a system prompt that:
- Establishes clear behavioral boundaries and operational parameters
- Provides specific methodologies and best practices for task execution
- Anticipates edge cases and provides guidance for handling them
- Incorporates any specific requirements or preferences mentioned by the user
- Defines output format expectations when relevant
- Aligns with project-specific coding standards and patterns from CLAUDE.md
4. **Optimize for Performance**: Include:
- Decision-making frameworks appropriate to the domain
- Quality control mechanisms and self-verification steps
- Efficient workflow patterns
- Clear escalation or fallback strategies
5. **Create Identifier**: Design a concise, descriptive identifier that:
- Uses lowercase letters, numbers, and hyphens only
- Is typically 2-4 words joined by hyphens
- Clearly indicates the agent's primary function
- Is memorable and easy to type
- Avoids generic terms like "helper" or "assistant"
6. **Example agent descriptions**:
- In the 'whenToUse' field of the JSON object, you should include examples of when this agent should be used.
- Examples should be of the form:
<example>
Context: The user is creating a code-review agent that should be called after a logical chunk of code is written.
user: "Please write a function that checks if a number is prime"
assistant: "Here is the relevant function: "
<function call omitted for brevity only for this example>
<commentary>
Since a logical chunk of code was written and the task was completed, now use the code-review agent to review the code.
</commentary>
assistant: "Now let me use the code-reviewer agent to review the code"
</example>
- If the user mentioned or implied that the agent should be used proactively, you should include examples of this.
- NOTE: Ensure that in the examples, you are making the assistant use the Agent tool and not simply respond directly to the task.
Your output must be a valid JSON object with exactly these fields:
{
"identifier": "A unique, descriptive identifier using lowercase letters, numbers, and hyphens (e.g., 'code-reviewer', 'api-docs-writer', 'test-generator')",
"whenToUse": "A precise, actionable description starting with 'Use this agent when...' that clearly defines the triggering conditions and use cases. Ensure you include examples as described above.",
"systemPrompt": "The complete system prompt that will govern the agent's behavior, written in second person ('You are...', 'You will...') and structured for maximum clarity and effectiveness"
}
Key principles for your system prompts:
- Be specific rather than generic - avoid vague instructions
- Include concrete examples when they would clarify behavior
- Balance comprehensiveness with clarity - every instruction should add value
- Ensure the agent has enough context to handle variations of the core task
- Make the agent proactive in seeking clarification when needed
- Build in quality assurance and self-correction mechanisms
Remember: The agents you create should be autonomous experts capable of handling their designated tasks with minimal additional guidance. Your system prompts are their complete operational manual.
```
## Usage Pattern
Use this prompt to generate agent configurations:
```markdown
**User input:** "I need an agent that reviews pull requests for code quality issues"
**You send to Claude with the system prompt above:**
Create an agent configuration based on this request: "I need an agent that reviews pull requests for code quality issues"
**Claude returns JSON:**
{
"identifier": "pr-quality-reviewer",
"whenToUse": "Use this agent when the user asks to review a pull request, check code quality, or analyze PR changes. Examples:\n\n<example>\nContext: User has created a PR and wants quality review\nuser: \"Can you review PR #123 for code quality?\"\nassistant: \"I'll use the pr-quality-reviewer agent to analyze the PR.\"\n<commentary>\nPR review request triggers the pr-quality-reviewer agent.\n</commentary>\n</example>",
"systemPrompt": "You are an expert code quality reviewer...\n\n**Your Core Responsibilities:**\n1. Analyze code changes for quality issues\n2. Check adherence to best practices\n..."
}
```
## Converting to Agent File
Take the JSON output and create the agent markdown file:
**agents/pr-quality-reviewer.md:**
```markdown
---
name: pr-quality-reviewer
description: Use this agent when the user asks to review a pull request, check code quality, or analyze PR changes. Examples:
<example>
Context: User has created a PR and wants quality review
user: "Can you review PR #123 for code quality?"
assistant: "I'll use the pr-quality-reviewer agent to analyze the PR."
<commentary>
PR review request triggers the pr-quality-reviewer agent.
</commentary>
</example>
model: inherit
color: blue
---
You are an expert code quality reviewer...
**Your Core Responsibilities:**
1. Analyze code changes for quality issues
2. Check adherence to best practices
...
```
## Customization Tips
### Adapt the System Prompt
The base prompt is excellent but can be enhanced for specific needs:
**For security-focused agents:**
```
Add after "Architect Comprehensive Instructions":
- Include OWASP top 10 security considerations
- Check for common vulnerabilities (injection, XSS, etc.)
- Validate input sanitization
```
**For test-generation agents:**
```
Add after "Optimize for Performance":
- Follow AAA pattern (Arrange, Act, Assert)
- Include edge cases and error scenarios
- Ensure test isolation and cleanup
```
**For documentation agents:**
```
Add after "Design Expert Persona":
- Use clear, concise language
- Include code examples
- Follow project documentation standards from CLAUDE.md
```
## Best Practices from Internal Implementation
### 1. Consider Project Context
The prompt specifically mentions using CLAUDE.md context:
- Agent should align with project patterns
- Follow project-specific coding standards
- Respect established practices
### 2. Proactive Agent Design
Include examples showing proactive usage:
```
<example>
Context: After writing code, agent should review proactively
user: "Please write a function..."
assistant: "[Writes function]"
<commentary>
Code written, now use review agent proactively.
</commentary>
assistant: "Now let me review this code with the code-reviewer agent"
</example>
```
### 3. Scope Assumptions
For code review agents, assume "recently written code" not entire codebase:
```
For agents that review code, assume recent changes unless explicitly
stated otherwise.
```
### 4. Output Structure
Always define clear output format in system prompt:
```
**Output Format:**
Provide results as:
1. Summary (2-3 sentences)
2. Detailed findings (bullet points)
3. Recommendations (action items)
```
## Integration with Plugin-Dev
Use this system prompt when creating agents for your plugins:
1. Take user request for agent functionality
2. Feed to Claude with this system prompt
3. Get JSON output (identifier, whenToUse, systemPrompt)
4. Convert to agent markdown file with frontmatter
5. Validate with agent validation rules
6. Test triggering conditions
7. Add to plugin's `agents/` directory
This provides AI-assisted agent generation following proven patterns from Claude Code's internal implementation.

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# System Prompt Design Patterns
Complete guide to writing effective agent system prompts that enable autonomous, high-quality operation.
## Core Structure
Every agent system prompt should follow this proven structure:
```markdown
You are [specific role] specializing in [specific domain].
**Your Core Responsibilities:**
1. [Primary responsibility - the main task]
2. [Secondary responsibility - supporting task]
3. [Additional responsibilities as needed]
**[Task Name] Process:**
1. [First concrete step]
2. [Second concrete step]
3. [Continue with clear steps]
[...]
**Quality Standards:**
- [Standard 1 with specifics]
- [Standard 2 with specifics]
- [Standard 3 with specifics]
**Output Format:**
Provide results structured as:
- [Component 1]
- [Component 2]
- [Include specific formatting requirements]
**Edge Cases:**
Handle these situations:
- [Edge case 1]: [Specific handling approach]
- [Edge case 2]: [Specific handling approach]
```
## Pattern 1: Analysis Agents
For agents that analyze code, PRs, or documentation:
```markdown
You are an expert [domain] analyzer specializing in [specific analysis type].
**Your Core Responsibilities:**
1. Thoroughly analyze [what] for [specific issues]
2. Identify [patterns/problems/opportunities]
3. Provide actionable recommendations
**Analysis Process:**
1. **Gather Context**: Read [what] using available tools
2. **Initial Scan**: Identify obvious [issues/patterns]
3. **Deep Analysis**: Examine [specific aspects]:
- [Aspect 1]: Check for [criteria]
- [Aspect 2]: Verify [criteria]
- [Aspect 3]: Assess [criteria]
4. **Synthesize Findings**: Group related issues
5. **Prioritize**: Rank by [severity/impact/urgency]
6. **Generate Report**: Format according to output template
**Quality Standards:**
- Every finding includes file:line reference
- Issues categorized by severity (critical/major/minor)
- Recommendations are specific and actionable
- Positive observations included for balance
**Output Format:**
## Summary
[2-3 sentence overview]
## Critical Issues
- [file:line] - [Issue description] - [Recommendation]
## Major Issues
[...]
## Minor Issues
[...]
## Recommendations
[...]
**Edge Cases:**
- No issues found: Provide positive feedback and validation
- Too many issues: Group and prioritize top 10
- Unclear code: Request clarification rather than guessing
```
## Pattern 2: Generation Agents
For agents that create code, tests, or documentation:
```markdown
You are an expert [domain] engineer specializing in creating high-quality [output type].
**Your Core Responsibilities:**
1. Generate [what] that meets [quality standards]
2. Follow [specific conventions/patterns]
3. Ensure [correctness/completeness/clarity]
**Generation Process:**
1. **Understand Requirements**: Analyze what needs to be created
2. **Gather Context**: Read existing [code/docs/tests] for patterns
3. **Design Structure**: Plan [architecture/organization/flow]
4. **Generate Content**: Create [output] following:
- [Convention 1]
- [Convention 2]
- [Best practice 1]
5. **Validate**: Verify [correctness/completeness]
6. **Document**: Add comments/explanations as needed
**Quality Standards:**
- Follows project conventions (check CLAUDE.md)
- [Specific quality metric 1]
- [Specific quality metric 2]
- Includes error handling
- Well-documented and clear
**Output Format:**
Create [what] with:
- [Structure requirement 1]
- [Structure requirement 2]
- Clear, descriptive naming
- Comprehensive coverage
**Edge Cases:**
- Insufficient context: Ask user for clarification
- Conflicting patterns: Follow most recent/explicit pattern
- Complex requirements: Break into smaller pieces
```
## Pattern 3: Validation Agents
For agents that validate, check, or verify:
```markdown
You are an expert [domain] validator specializing in ensuring [quality aspect].
**Your Core Responsibilities:**
1. Validate [what] against [criteria]
2. Identify violations and issues
3. Provide clear pass/fail determination
**Validation Process:**
1. **Load Criteria**: Understand validation requirements
2. **Scan Target**: Read [what] needs validation
3. **Check Rules**: For each rule:
- [Rule 1]: [Validation method]
- [Rule 2]: [Validation method]
4. **Collect Violations**: Document each failure with details
5. **Assess Severity**: Categorize issues
6. **Determine Result**: Pass only if [criteria met]
**Quality Standards:**
- All violations include specific locations
- Severity clearly indicated
- Fix suggestions provided
- No false positives
**Output Format:**
## Validation Result: [PASS/FAIL]
## Summary
[Overall assessment]
## Violations Found: [count]
### Critical ([count])
- [Location]: [Issue] - [Fix]
### Warnings ([count])
- [Location]: [Issue] - [Fix]
## Recommendations
[How to fix violations]
**Edge Cases:**
- No violations: Confirm validation passed
- Too many violations: Group by type, show top 20
- Ambiguous rules: Document uncertainty, request clarification
```
## Pattern 4: Orchestration Agents
For agents that coordinate multiple tools or steps:
```markdown
You are an expert [domain] orchestrator specializing in coordinating [complex workflow].
**Your Core Responsibilities:**
1. Coordinate [multi-step process]
2. Manage [resources/tools/dependencies]
3. Ensure [successful completion/integration]
**Orchestration Process:**
1. **Plan**: Understand full workflow and dependencies
2. **Prepare**: Set up prerequisites
3. **Execute Phases**:
- Phase 1: [What] using [tools]
- Phase 2: [What] using [tools]
- Phase 3: [What] using [tools]
4. **Monitor**: Track progress and handle failures
5. **Verify**: Confirm successful completion
6. **Report**: Provide comprehensive summary
**Quality Standards:**
- Each phase completes successfully
- Errors handled gracefully
- Progress reported to user
- Final state verified
**Output Format:**
## Workflow Execution Report
### Completed Phases
- [Phase]: [Result]
### Results
- [Output 1]
- [Output 2]
### Next Steps
[If applicable]
**Edge Cases:**
- Phase failure: Attempt retry, then report and stop
- Missing dependencies: Request from user
- Timeout: Report partial completion
```
## Writing Style Guidelines
### Tone and Voice
**Use second person (addressing the agent):**
```
✅ You are responsible for...
✅ You will analyze...
✅ Your process should...
❌ The agent is responsible for...
❌ This agent will analyze...
❌ I will analyze...
```
### Clarity and Specificity
**Be specific, not vague:**
```
✅ Check for SQL injection by examining all database queries for parameterization
❌ Look for security issues
✅ Provide file:line references for each finding
❌ Show where issues are
✅ Categorize as critical (security), major (bugs), or minor (style)
❌ Rate the severity of issues
```
### Actionable Instructions
**Give concrete steps:**
```
✅ Read the file using the Read tool, then search for patterns using Grep
❌ Analyze the code
✅ Generate test file at test/path/to/file.test.ts
❌ Create tests
```
## Common Pitfalls
### ❌ Vague Responsibilities
```markdown
**Your Core Responsibilities:**
1. Help the user with their code
2. Provide assistance
3. Be helpful
```
**Why bad:** Not specific enough to guide behavior.
### ✅ Specific Responsibilities
```markdown
**Your Core Responsibilities:**
1. Analyze TypeScript code for type safety issues
2. Identify missing type annotations and improper 'any' usage
3. Recommend specific type improvements with examples
```
### ❌ Missing Process Steps
```markdown
Analyze the code and provide feedback.
```
**Why bad:** Agent doesn't know HOW to analyze.
### ✅ Clear Process
```markdown
**Analysis Process:**
1. Read code files using Read tool
2. Scan for type annotations on all functions
3. Check for 'any' type usage
4. Verify generic type parameters
5. List findings with file:line references
```
### ❌ Undefined Output
```markdown
Provide a report.
```
**Why bad:** Agent doesn't know what format to use.
### ✅ Defined Output Format
```markdown
**Output Format:**
## Type Safety Report
### Summary
[Overview of findings]
### Issues Found
- `file.ts:42` - Missing return type on `processData`
- `utils.ts:15` - Unsafe 'any' usage in parameter
### Recommendations
[Specific fixes with examples]
```
## Length Guidelines
### Minimum Viable Agent
**~500 words minimum:**
- Role description
- 3 core responsibilities
- 5-step process
- Output format
### Standard Agent
**~1,000-2,000 words:**
- Detailed role and expertise
- 5-8 responsibilities
- 8-12 process steps
- Quality standards
- Output format
- 3-5 edge cases
### Comprehensive Agent
**~2,000-5,000 words:**
- Complete role with background
- Comprehensive responsibilities
- Detailed multi-phase process
- Extensive quality standards
- Multiple output formats
- Many edge cases
- Examples within system prompt
**Avoid > 10,000 words:** Too long, diminishing returns.
## Testing System Prompts
### Test Completeness
Can the agent handle these based on system prompt alone?
- [ ] Typical task execution
- [ ] Edge cases mentioned
- [ ] Error scenarios
- [ ] Unclear requirements
- [ ] Large/complex inputs
- [ ] Empty/missing inputs
### Test Clarity
Read the system prompt and ask:
- Can another developer understand what this agent does?
- Are process steps clear and actionable?
- Is output format unambiguous?
- Are quality standards measurable?
### Iterate Based on Results
After testing agent:
1. Identify where it struggled
2. Add missing guidance to system prompt
3. Clarify ambiguous instructions
4. Add process steps for edge cases
5. Re-test
## Conclusion
Effective system prompts are:
- **Specific**: Clear about what and how
- **Structured**: Organized with clear sections
- **Complete**: Covers normal and edge cases
- **Actionable**: Provides concrete steps
- **Testable**: Defines measurable standards
Use the patterns above as templates, customize for your domain, and iterate based on agent performance.

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# Agent Triggering Examples: Best Practices
Complete guide to writing effective `<example>` blocks in agent descriptions for reliable triggering.
## Example Block Format
The standard format for triggering examples:
```markdown
<example>
Context: [Describe the situation - what led to this interaction]
user: "[Exact user message or request]"
assistant: "[How Claude should respond before triggering]"
<commentary>
[Explanation of why this agent should be triggered in this scenario]
</commentary>
assistant: "[How Claude triggers the agent - usually 'I'll use the [agent-name] agent...']"
</example>
```
## Anatomy of a Good Example
### Context
**Purpose:** Set the scene - what happened before the user's message
**Good contexts:**
```
Context: User just implemented a new authentication feature
Context: User has created a PR and wants it reviewed
Context: User is debugging a test failure
Context: After writing several functions without documentation
```
**Bad contexts:**
```
Context: User needs help (too vague)
Context: Normal usage (not specific)
```
### User Message
**Purpose:** Show the exact phrasing that should trigger the agent
**Good user messages:**
```
user: "I've added the OAuth flow, can you check it?"
user: "Review PR #123"
user: "Why is this test failing?"
user: "Add docs for these functions"
```
**Vary the phrasing:**
Include multiple examples with different phrasings for the same intent:
```
Example 1: user: "Review my code"
Example 2: user: "Can you check this implementation?"
Example 3: user: "Look over my changes"
```
### Assistant Response (Before Triggering)
**Purpose:** Show what Claude says before launching the agent
**Good responses:**
```
assistant: "I'll analyze your OAuth implementation."
assistant: "Let me review that PR for you."
assistant: "I'll investigate the test failure."
```
**Proactive example:**
```
assistant: "Great! Now let me review the code quality."
<commentary>
Code was just written, proactively trigger review agent.
</commentary>
```
### Commentary
**Purpose:** Explain the reasoning - WHY this agent should trigger
**Good commentary:**
```
<commentary>
User explicitly requested code review, trigger the code-reviewer agent.
</commentary>
<commentary>
After code implementation, proactively use review agent to check quality.
</commentary>
<commentary>
PR analysis request matches pr-analyzer agent's expertise.
</commentary>
```
**Include decision logic:**
```
<commentary>
User wrote tests (Test tool used). The test-analyzer agent should check
test quality and coverage before continuing.
</commentary>
```
### Assistant Response (Triggering)
**Purpose:** Show how Claude invokes the agent
**Standard pattern:**
```
assistant: "I'll use the [agent-name] agent to [what it will do]."
```
**Examples:**
```
assistant: "I'll use the code-reviewer agent to analyze the changes."
assistant: "Let me use the test-generator agent to create comprehensive tests."
assistant: "I'll use the security-analyzer agent to check for vulnerabilities."
```
## Example Types
### Type 1: Explicit Request
User directly asks for what the agent does:
```markdown
<example>
Context: User explicitly requests security analysis
user: "Check my code for security vulnerabilities"
assistant: "I'll use the security-analyzer agent to perform a thorough security review."
<commentary>
Direct security analysis request triggers the security-analyzer agent.
</commentary>
</example>
```
### Type 2: Proactive Triggering
Agent triggers after relevant work without explicit request:
```markdown
<example>
Context: User just implemented database queries
user: "I've added the user search functionality"
assistant: "Great! Let me review it for security."
<commentary>
Database code written. Proactively trigger security-analyzer to check
for SQL injection and other database security issues.
</commentary>
assistant: "I'll use the security-analyzer agent to check the database code."
</example>
```
### Type 3: Implicit Request
User implies need without stating it directly:
```markdown
<example>
Context: User mentions code is hard to understand
user: "This code is confusing and hard to follow"
assistant: "I can help improve the code clarity."
<commentary>
User indicates complexity issues. Trigger code-simplifier agent to refactor
for better readability.
</commentary>
assistant: "I'll use the code-simplifier agent to suggest improvements."
</example>
```
### Type 4: Tool Usage Pattern
Agent triggers based on prior tool usage:
```markdown
<example>
Context: User made multiple edits to test files
user: "I've updated all the tests"
assistant: "Great! Let me verify test quality."
<commentary>
Multiple Edit tools used on test files. Proactively trigger test-quality-analyzer
to ensure tests follow best practices.
</commentary>
assistant: "I'll use the test-quality-analyzer agent to review the tests."
</example>
```
## Multiple Examples Strategy
### Cover Different Phrasings
```markdown
<example>
user: "Review my code"
[...]
</example>
<example>
user: "Can you check my implementation?"
[...]
</example>
<example>
user: "Look over these changes"
[...]
</example>
```
### Cover Proactive and Reactive
```markdown
<example>
Context: User explicitly requests review
user: "Review my code for issues"
[...]
</example>
<example>
Context: After user writes code
user: "I've implemented the feature"
assistant: "Great! Now let me review it."
<commentary>
Code written, proactively review.
</commentary>
[...]
</example>
```
### Cover Edge Cases
```markdown
<example>
Context: Typical usage
user: "Check my PR"
[...]
</example>
<example>
Context: Large PR that needs thorough analysis
user: "This is a big PR, can you do a deep review?"
[...]
<commentary>
Large PR mentioned, use thorough analysis mode.
</commentary>
</example>
```
## Common Mistakes
### ❌ Missing Context
```markdown
<example>
user: "Review my code"
assistant: "I'll use the code-reviewer agent."
</example>
```
**Why bad:** No context about what led to this request.
### ✅ With Context
```markdown
<example>
Context: User just finished implementing authentication
user: "Review my code"
assistant: "I'll use the code-reviewer agent to analyze the auth implementation."
<commentary>
Auth code written, review for security and best practices.
</commentary>
</example>
```
### ❌ No Commentary
```markdown
<example>
Context: User requests review
user: "Check my changes"
assistant: "I'll use the reviewer agent."
</example>
```
**Why bad:** Doesn't explain WHY agent triggers.
### ✅ With Commentary
```markdown
<example>
Context: User requests review after making changes
user: "Check my changes"
assistant: "I'll use the code-reviewer agent to analyze the modifications."
<commentary>
Code review request triggers agent to check quality, security, and adherence to standards.
</commentary>
</example>
```
### ❌ Agent Responds Directly
```markdown
<example>
user: "Review my code"
assistant: "I found the following issues: [lists issues]"
</example>
```
**Why bad:** Shows agent's output, not triggering.
### ✅ Shows Triggering
```markdown
<example>
user: "Review my code"
assistant: "I'll use the code-reviewer agent to perform the review."
<commentary>
Review request triggers the agent.
</commentary>
</example>
```
## How Many Examples?
### Minimum: 2 Examples
Cover at least:
1. Explicit request
2. One variation or proactive trigger
### Recommended: 3-4 Examples
Cover:
1. Explicit request (direct ask)
2. Implicit request (user implies need)
3. Proactive trigger (after relevant work)
4. Edge case or specific scenario
### Maximum: 6 Examples
More than 6 makes description too long. Focus on most important scenarios.
## Template Library
### Code Review Agent
```markdown
<example>
Context: User just implemented a new feature
user: "I've added the user registration feature"
assistant: "Great! Let me review the code quality."
<commentary>
Code written, proactively trigger code-reviewer agent.
</commentary>
assistant: "I'll use the code-reviewer agent to analyze the implementation."
</example>
<example>
Context: User explicitly requests review
user: "Can you review my changes for issues?"
assistant: "I'll use the code-reviewer agent to perform a thorough review."
<commentary>
Explicit review request triggers the agent.
</commentary>
</example>
```
### Test Generation Agent
```markdown
<example>
Context: User implemented functions without tests
user: "I've added the data processing functions"
assistant: "Great! Let me generate tests for these."
<commentary>
New code without tests, proactively trigger test-generator agent.
</commentary>
assistant: "I'll use the test-generator agent to create comprehensive tests."
</example>
<example>
Context: User explicitly asks for tests
user: "Generate tests for my code"
assistant: "I'll use the test-generator agent to create a complete test suite."
<commentary>
Direct test generation request triggers the agent.
</commentary>
</example>
```
### Documentation Agent
```markdown
<example>
Context: User added new API endpoints
user: "I've implemented the REST API endpoints"
assistant: "I'll document these endpoints."
<commentary>
New API code, proactively generate documentation.
</commentary>
assistant: "I'll use the api-docs-writer agent to create comprehensive documentation."
</example>
<example>
Context: User requests documentation
user: "Write docs for this API"
assistant: "I'll use the api-docs-writer agent to generate clear documentation."
<commentary>
Documentation request triggers the agent.
</commentary>
</example>
```
### Validation Agent
```markdown
<example>
Context: User ready to commit changes
user: "I'm ready to commit this code"
assistant: "Let me validate it first."
<commentary>
Before commit, proactively validate with validation-agent.
</commentary>
assistant: "I'll use the code-validator agent to check for issues."
</example>
<example>
Context: User asks for validation
user: "Validate my implementation"
assistant: "I'll use the code-validator agent to verify correctness."
<commentary>
Explicit validation request triggers the agent.
</commentary>
</example>
```
## Debugging Triggering Issues
### Agent Not Triggering
**Check:**
1. Examples include relevant keywords from user message
2. Context matches actual usage scenarios
3. Commentary explains triggering logic clearly
4. Assistant shows use of Agent tool in examples
**Fix:**
Add more examples covering different phrasings.
### Agent Triggers Too Often
**Check:**
1. Examples are too broad or generic
2. Triggering conditions overlap with other agents
3. Commentary doesn't distinguish when NOT to use
**Fix:**
Make examples more specific, add negative examples.
### Agent Triggers in Wrong Scenarios
**Check:**
1. Examples don't match actual intended use
2. Commentary suggests inappropriate triggering
**Fix:**
Revise examples to show only correct triggering scenarios.
## Best Practices Summary
**DO:**
- Include 2-4 concrete, specific examples
- Show both explicit and proactive triggering
- Provide clear context for each example
- Explain reasoning in commentary
- Vary user message phrasing
- Show Claude using Agent tool
**DON'T:**
- Use generic, vague examples
- Omit context or commentary
- Show only one type of triggering
- Skip the agent invocation step
- Make examples too similar
- Forget to explain why agent triggers
## Conclusion
Well-crafted examples are crucial for reliable agent triggering. Invest time in creating diverse, specific examples that clearly demonstrate when and why the agent should be used.

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@@ -0,0 +1,217 @@
#!/bin/bash
# Agent File Validator
# Validates agent markdown files for correct structure and content
set -euo pipefail
# Usage
if [ $# -eq 0 ]; then
echo "Usage: $0 <path/to/agent.md>"
echo ""
echo "Validates agent file for:"
echo " - YAML frontmatter structure"
echo " - Required fields (name, description, model, color)"
echo " - Field formats and constraints"
echo " - System prompt presence and length"
echo " - Example blocks in description"
exit 1
fi
AGENT_FILE="$1"
echo "🔍 Validating agent file: $AGENT_FILE"
echo ""
# Check 1: File exists
if [ ! -f "$AGENT_FILE" ]; then
echo "❌ File not found: $AGENT_FILE"
exit 1
fi
echo "✅ File exists"
# Check 2: Starts with ---
FIRST_LINE=$(head -1 "$AGENT_FILE")
if [ "$FIRST_LINE" != "---" ]; then
echo "❌ File must start with YAML frontmatter (---)"
exit 1
fi
echo "✅ Starts with frontmatter"
# Check 3: Has closing ---
if ! tail -n +2 "$AGENT_FILE" | grep -q '^---$'; then
echo "❌ Frontmatter not closed (missing second ---)"
exit 1
fi
echo "✅ Frontmatter properly closed"
# Extract frontmatter and system prompt
FRONTMATTER=$(sed -n '/^---$/,/^---$/{ /^---$/d; p; }' "$AGENT_FILE")
SYSTEM_PROMPT=$(awk '/^---$/{i++; next} i>=2' "$AGENT_FILE")
# Check 4: Required fields
echo ""
echo "Checking required fields..."
error_count=0
warning_count=0
# Check name field
NAME=$(echo "$FRONTMATTER" | grep '^name:' | sed 's/name: *//' | sed 's/^"\(.*\)"$/\1/')
if [ -z "$NAME" ]; then
echo "❌ Missing required field: name"
((error_count++))
else
echo "✅ name: $NAME"
# Validate name format
if ! [[ "$NAME" =~ ^[a-zA-Z0-9][a-zA-Z0-9-]*[a-zA-Z0-9]$ ]]; then
echo "❌ name must start/end with alphanumeric and contain only letters, numbers, hyphens"
((error_count++))
fi
# Validate name length
name_length=${#NAME}
if [ $name_length -lt 3 ]; then
echo "❌ name too short (minimum 3 characters)"
((error_count++))
elif [ $name_length -gt 50 ]; then
echo "❌ name too long (maximum 50 characters)"
((error_count++))
fi
# Check for generic names
if [[ "$NAME" =~ ^(helper|assistant|agent|tool)$ ]]; then
echo "⚠️ name is too generic: $NAME"
((warning_count++))
fi
fi
# Check description field
DESCRIPTION=$(echo "$FRONTMATTER" | grep '^description:' | sed 's/description: *//')
if [ -z "$DESCRIPTION" ]; then
echo "❌ Missing required field: description"
((error_count++))
else
desc_length=${#DESCRIPTION}
echo "✅ description: ${desc_length} characters"
if [ $desc_length -lt 10 ]; then
echo "⚠️ description too short (minimum 10 characters recommended)"
((warning_count++))
elif [ $desc_length -gt 5000 ]; then
echo "⚠️ description very long (over 5000 characters)"
((warning_count++))
fi
# Check for example blocks
if ! echo "$DESCRIPTION" | grep -q '<example>'; then
echo "⚠️ description should include <example> blocks for triggering"
((warning_count++))
fi
# Check for "Use this agent when" pattern
if ! echo "$DESCRIPTION" | grep -qi 'use this agent when'; then
echo "⚠️ description should start with 'Use this agent when...'"
((warning_count++))
fi
fi
# Check model field
MODEL=$(echo "$FRONTMATTER" | grep '^model:' | sed 's/model: *//')
if [ -z "$MODEL" ]; then
echo "❌ Missing required field: model"
((error_count++))
else
echo "✅ model: $MODEL"
case "$MODEL" in
inherit|sonnet|opus|haiku)
# Valid model
;;
*)
echo "⚠️ Unknown model: $MODEL (valid: inherit, sonnet, opus, haiku)"
((warning_count++))
;;
esac
fi
# Check color field
COLOR=$(echo "$FRONTMATTER" | grep '^color:' | sed 's/color: *//')
if [ -z "$COLOR" ]; then
echo "❌ Missing required field: color"
((error_count++))
else
echo "✅ color: $COLOR"
case "$COLOR" in
blue|cyan|green|yellow|magenta|red)
# Valid color
;;
*)
echo "⚠️ Unknown color: $COLOR (valid: blue, cyan, green, yellow, magenta, red)"
((warning_count++))
;;
esac
fi
# Check tools field (optional)
TOOLS=$(echo "$FRONTMATTER" | grep '^tools:' | sed 's/tools: *//')
if [ -n "$TOOLS" ]; then
echo "✅ tools: $TOOLS"
else
echo "💡 tools: not specified (agent has access to all tools)"
fi
# Check 5: System prompt
echo ""
echo "Checking system prompt..."
if [ -z "$SYSTEM_PROMPT" ]; then
echo "❌ System prompt is empty"
((error_count++))
else
prompt_length=${#SYSTEM_PROMPT}
echo "✅ System prompt: $prompt_length characters"
if [ $prompt_length -lt 20 ]; then
echo "❌ System prompt too short (minimum 20 characters)"
((error_count++))
elif [ $prompt_length -gt 10000 ]; then
echo "⚠️ System prompt very long (over 10,000 characters)"
((warning_count++))
fi
# Check for second person
if ! echo "$SYSTEM_PROMPT" | grep -q "You are\|You will\|Your"; then
echo "⚠️ System prompt should use second person (You are..., You will...)"
((warning_count++))
fi
# Check for structure
if ! echo "$SYSTEM_PROMPT" | grep -qi "responsibilities\|process\|steps"; then
echo "💡 Consider adding clear responsibilities or process steps"
fi
if ! echo "$SYSTEM_PROMPT" | grep -qi "output"; then
echo "💡 Consider defining output format expectations"
fi
fi
echo ""
echo "━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━"
if [ $error_count -eq 0 ] && [ $warning_count -eq 0 ]; then
echo "✅ All checks passed!"
exit 0
elif [ $error_count -eq 0 ]; then
echo "⚠️ Validation passed with $warning_count warning(s)"
exit 0
else
echo "❌ Validation failed with $error_count error(s) and $warning_count warning(s)"
exit 1
fi

View File

@@ -0,0 +1,272 @@
# Command Development Skill
Comprehensive guidance on creating Claude Code slash commands, including file format, frontmatter options, dynamic arguments, and best practices.
## Overview
This skill provides knowledge about:
- Slash command file format and structure
- YAML frontmatter configuration fields
- Dynamic arguments ($ARGUMENTS, $1, $2, etc.)
- File references with @ syntax
- Bash execution with !` syntax
- Command organization and namespacing
- Best practices for command development
- Plugin-specific features (${CLAUDE_PLUGIN_ROOT}, plugin patterns)
- Integration with plugin components (agents, skills, hooks)
- Validation patterns and error handling
## Skill Structure
### SKILL.md (~2,470 words)
Core skill content covering:
**Fundamentals:**
- Command basics and locations
- File format (Markdown with optional frontmatter)
- YAML frontmatter fields overview
- Dynamic arguments ($ARGUMENTS and positional)
- File references (@ syntax)
- Bash execution (!` syntax)
- Command organization patterns
- Best practices and common patterns
- Troubleshooting
**Plugin-Specific:**
- ${CLAUDE_PLUGIN_ROOT} environment variable
- Plugin command discovery and organization
- Plugin command patterns (configuration, template, multi-script)
- Integration with plugin components (agents, skills, hooks)
- Validation patterns (argument, file, resource, error handling)
### References
Detailed documentation:
- **frontmatter-reference.md**: Complete YAML frontmatter field specifications
- All field descriptions with types and defaults
- When to use each field
- Examples and best practices
- Validation and common errors
- **plugin-features-reference.md**: Plugin-specific command features
- Plugin command discovery and organization
- ${CLAUDE_PLUGIN_ROOT} environment variable usage
- Plugin command patterns (configuration, template, multi-script)
- Integration with plugin agents, skills, and hooks
- Validation patterns and error handling
### Examples
Practical command examples:
- **simple-commands.md**: 10 complete command examples
- Code review commands
- Testing commands
- Deployment commands
- Documentation generators
- Git integration commands
- Analysis and research commands
- **plugin-commands.md**: 10 plugin-specific command examples
- Simple plugin commands with scripts
- Multi-script workflows
- Template-based generation
- Configuration-driven deployment
- Agent and skill integration
- Multi-component workflows
- Validated input commands
- Environment-aware commands
## When This Skill Triggers
Claude Code activates this skill when users:
- Ask to "create a slash command" or "add a command"
- Need to "write a custom command"
- Want to "define command arguments"
- Ask about "command frontmatter" or YAML configuration
- Need to "organize commands" or use namespacing
- Want to create commands with file references
- Ask about "bash execution in commands"
- Need command development best practices
## Progressive Disclosure
The skill uses progressive disclosure:
1. **SKILL.md** (~2,470 words): Core concepts, common patterns, and plugin features overview
2. **References** (~13,500 words total): Detailed specifications
- frontmatter-reference.md (~1,200 words)
- plugin-features-reference.md (~1,800 words)
- interactive-commands.md (~2,500 words)
- advanced-workflows.md (~1,700 words)
- testing-strategies.md (~2,200 words)
- documentation-patterns.md (~2,000 words)
- marketplace-considerations.md (~2,200 words)
3. **Examples** (~6,000 words total): Complete working command examples
- simple-commands.md
- plugin-commands.md
Claude loads references and examples as needed based on task.
## Command Basics Quick Reference
### File Format
```markdown
---
description: Brief description
argument-hint: [arg1] [arg2]
allowed-tools: Read, Bash(git:*)
---
Command prompt content with:
- Arguments: $1, $2, or $ARGUMENTS
- Files: @path/to/file
- Bash: !`command here`
```
### Locations
- **Project**: `.claude/commands/` (shared with team)
- **Personal**: `~/.claude/commands/` (your commands)
- **Plugin**: `plugin-name/commands/` (plugin-specific)
### Key Features
**Dynamic arguments:**
- `$ARGUMENTS` - All arguments as single string
- `$1`, `$2`, `$3` - Positional arguments
**File references:**
- `@path/to/file` - Include file contents
**Bash execution:**
- `!`command`` - Execute and include output
## Frontmatter Fields Quick Reference
| Field | Purpose | Example |
|-------|---------|---------|
| `description` | Brief description for /help | `"Review code for issues"` |
| `allowed-tools` | Restrict tool access | `Read, Bash(git:*)` |
| `model` | Specify model | `sonnet`, `opus`, `haiku` |
| `argument-hint` | Document arguments | `[pr-number] [priority]` |
| `disable-model-invocation` | Manual-only command | `true` |
## Common Patterns
### Simple Review Command
```markdown
---
description: Review code for issues
---
Review this code for quality and potential bugs.
```
### Command with Arguments
```markdown
---
description: Deploy to environment
argument-hint: [environment] [version]
---
Deploy to $1 environment using version $2
```
### Command with File Reference
```markdown
---
description: Document file
argument-hint: [file-path]
---
Generate documentation for @$1
```
### Command with Bash Execution
```markdown
---
description: Show Git status
allowed-tools: Bash(git:*)
---
Current status: !`git status`
Recent commits: !`git log --oneline -5`
```
## Development Workflow
1. **Design command:**
- Define purpose and scope
- Determine required arguments
- Identify needed tools
2. **Create file:**
- Choose appropriate location
- Create `.md` file with command name
- Write basic prompt
3. **Add frontmatter:**
- Start minimal (just description)
- Add fields as needed (allowed-tools, etc.)
- Document arguments with argument-hint
4. **Test command:**
- Invoke with `/command-name`
- Verify arguments work
- Check bash execution
- Test file references
5. **Refine:**
- Improve prompt clarity
- Handle edge cases
- Add examples in comments
- Document requirements
## Best Practices Summary
1. **Single responsibility**: One command, one clear purpose
2. **Clear descriptions**: Make discoverable in `/help`
3. **Document arguments**: Always use argument-hint
4. **Minimal tools**: Use most restrictive allowed-tools
5. **Test thoroughly**: Verify all features work
6. **Add comments**: Explain complex logic
7. **Handle errors**: Consider missing arguments/files
## Status
**Completed enhancements:**
- ✓ Plugin command patterns (${CLAUDE_PLUGIN_ROOT}, discovery, organization)
- ✓ Integration patterns (agents, skills, hooks coordination)
- ✓ Validation patterns (input, file, resource validation, error handling)
**Remaining enhancements (in progress):**
- Advanced workflows (multi-step command sequences)
- Testing strategies (how to test commands effectively)
- Documentation patterns (command documentation best practices)
- Marketplace considerations (publishing and distribution)
## Maintenance
To update this skill:
1. Keep SKILL.md focused on core fundamentals
2. Move detailed specifications to references/
3. Add new examples/ for different use cases
4. Update frontmatter when new fields added
5. Ensure imperative/infinitive form throughout
6. Test examples work with current Claude Code
## Version History
**v0.1.0** (2025-01-15):
- Initial release with basic command fundamentals
- Frontmatter field reference
- 10 simple command examples
- Ready for plugin-specific pattern additions

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@@ -0,0 +1,834 @@
---
name: Command Development
description: This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
version: 0.2.0
---
# Command Development for Claude Code
## Overview
Slash commands are frequently-used prompts defined as Markdown files that Claude executes during interactive sessions. Understanding command structure, frontmatter options, and dynamic features enables creating powerful, reusable workflows.
**Key concepts:**
- Markdown file format for commands
- YAML frontmatter for configuration
- Dynamic arguments and file references
- Bash execution for context
- Command organization and namespacing
## Command Basics
### What is a Slash Command?
A slash command is a Markdown file containing a prompt that Claude executes when invoked. Commands provide:
- **Reusability**: Define once, use repeatedly
- **Consistency**: Standardize common workflows
- **Sharing**: Distribute across team or projects
- **Efficiency**: Quick access to complex prompts
### Critical: Commands are Instructions FOR Claude
**Commands are written for agent consumption, not human consumption.**
When a user invokes `/command-name`, the command content becomes Claude's instructions. Write commands as directives TO Claude about what to do, not as messages TO the user.
**Correct approach (instructions for Claude):**
```markdown
Review this code for security vulnerabilities including:
- SQL injection
- XSS attacks
- Authentication issues
Provide specific line numbers and severity ratings.
```
**Incorrect approach (messages to user):**
```markdown
This command will review your code for security issues.
You'll receive a report with vulnerability details.
```
The first example tells Claude what to do. The second tells the user what will happen but doesn't instruct Claude. Always use the first approach.
### Command Locations
**Project commands** (shared with team):
- Location: `.claude/commands/`
- Scope: Available in specific project
- Label: Shown as "(project)" in `/help`
- Use for: Team workflows, project-specific tasks
**Personal commands** (available everywhere):
- Location: `~/.claude/commands/`
- Scope: Available in all projects
- Label: Shown as "(user)" in `/help`
- Use for: Personal workflows, cross-project utilities
**Plugin commands** (bundled with plugins):
- Location: `plugin-name/commands/`
- Scope: Available when plugin installed
- Label: Shown as "(plugin-name)" in `/help`
- Use for: Plugin-specific functionality
## File Format
### Basic Structure
Commands are Markdown files with `.md` extension:
```
.claude/commands/
├── review.md # /review command
├── test.md # /test command
└── deploy.md # /deploy command
```
**Simple command:**
```markdown
Review this code for security vulnerabilities including:
- SQL injection
- XSS attacks
- Authentication bypass
- Insecure data handling
```
No frontmatter needed for basic commands.
### With YAML Frontmatter
Add configuration using YAML frontmatter:
```markdown
---
description: Review code for security issues
allowed-tools: Read, Grep, Bash(git:*)
model: sonnet
---
Review this code for security vulnerabilities...
```
## YAML Frontmatter Fields
### description
**Purpose:** Brief description shown in `/help`
**Type:** String
**Default:** First line of command prompt
```yaml
---
description: Review pull request for code quality
---
```
**Best practice:** Clear, actionable description (under 60 characters)
### allowed-tools
**Purpose:** Specify which tools command can use
**Type:** String or Array
**Default:** Inherits from conversation
```yaml
---
allowed-tools: Read, Write, Edit, Bash(git:*)
---
```
**Patterns:**
- `Read, Write, Edit` - Specific tools
- `Bash(git:*)` - Bash with git commands only
- `*` - All tools (rarely needed)
**Use when:** Command requires specific tool access
### model
**Purpose:** Specify model for command execution
**Type:** String (sonnet, opus, haiku)
**Default:** Inherits from conversation
```yaml
---
model: haiku
---
```
**Use cases:**
- `haiku` - Fast, simple commands
- `sonnet` - Standard workflows
- `opus` - Complex analysis
### argument-hint
**Purpose:** Document expected arguments for autocomplete
**Type:** String
**Default:** None
```yaml
---
argument-hint: [pr-number] [priority] [assignee]
---
```
**Benefits:**
- Helps users understand command arguments
- Improves command discovery
- Documents command interface
### disable-model-invocation
**Purpose:** Prevent SlashCommand tool from programmatically calling command
**Type:** Boolean
**Default:** false
```yaml
---
disable-model-invocation: true
---
```
**Use when:** Command should only be manually invoked
## Dynamic Arguments
### Using $ARGUMENTS
Capture all arguments as single string:
```markdown
---
description: Fix issue by number
argument-hint: [issue-number]
---
Fix issue #$ARGUMENTS following our coding standards and best practices.
```
**Usage:**
```
> /fix-issue 123
> /fix-issue 456
```
**Expands to:**
```
Fix issue #123 following our coding standards...
Fix issue #456 following our coding standards...
```
### Using Positional Arguments
Capture individual arguments with `$1`, `$2`, `$3`, etc.:
```markdown
---
description: Review PR with priority and assignee
argument-hint: [pr-number] [priority] [assignee]
---
Review pull request #$1 with priority level $2.
After review, assign to $3 for follow-up.
```
**Usage:**
```
> /review-pr 123 high alice
```
**Expands to:**
```
Review pull request #123 with priority level high.
After review, assign to alice for follow-up.
```
### Combining Arguments
Mix positional and remaining arguments:
```markdown
Deploy $1 to $2 environment with options: $3
```
**Usage:**
```
> /deploy api staging --force --skip-tests
```
**Expands to:**
```
Deploy api to staging environment with options: --force --skip-tests
```
## File References
### Using @ Syntax
Include file contents in command:
```markdown
---
description: Review specific file
argument-hint: [file-path]
---
Review @$1 for:
- Code quality
- Best practices
- Potential bugs
```
**Usage:**
```
> /review-file src/api/users.ts
```
**Effect:** Claude reads `src/api/users.ts` before processing command
### Multiple File References
Reference multiple files:
```markdown
Compare @src/old-version.js with @src/new-version.js
Identify:
- Breaking changes
- New features
- Bug fixes
```
### Static File References
Reference known files without arguments:
```markdown
Review @package.json and @tsconfig.json for consistency
Ensure:
- TypeScript version matches
- Dependencies are aligned
- Build configuration is correct
```
## Bash Execution in Commands
Commands can execute bash commands inline to dynamically gather context before Claude processes the command. This is useful for including repository state, environment information, or project-specific context.
**When to use:**
- Include dynamic context (git status, environment vars, etc.)
- Gather project/repository state
- Build context-aware workflows
**Implementation details:**
For complete syntax, examples, and best practices, see `references/plugin-features-reference.md` section on bash execution. The reference includes the exact syntax and multiple working examples to avoid execution issues
## Command Organization
### Flat Structure
Simple organization for small command sets:
```
.claude/commands/
├── build.md
├── test.md
├── deploy.md
├── review.md
└── docs.md
```
**Use when:** 5-15 commands, no clear categories
### Namespaced Structure
Organize commands in subdirectories:
```
.claude/commands/
├── ci/
│ ├── build.md # /build (project:ci)
│ ├── test.md # /test (project:ci)
│ └── lint.md # /lint (project:ci)
├── git/
│ ├── commit.md # /commit (project:git)
│ └── pr.md # /pr (project:git)
└── docs/
├── generate.md # /generate (project:docs)
└── publish.md # /publish (project:docs)
```
**Benefits:**
- Logical grouping by category
- Namespace shown in `/help`
- Easier to find related commands
**Use when:** 15+ commands, clear categories
## Best Practices
### Command Design
1. **Single responsibility:** One command, one task
2. **Clear descriptions:** Self-explanatory in `/help`
3. **Explicit dependencies:** Use `allowed-tools` when needed
4. **Document arguments:** Always provide `argument-hint`
5. **Consistent naming:** Use verb-noun pattern (review-pr, fix-issue)
### Argument Handling
1. **Validate arguments:** Check for required arguments in prompt
2. **Provide defaults:** Suggest defaults when arguments missing
3. **Document format:** Explain expected argument format
4. **Handle edge cases:** Consider missing or invalid arguments
```markdown
---
argument-hint: [pr-number]
---
$IF($1,
Review PR #$1,
Please provide a PR number. Usage: /review-pr [number]
)
```
### File References
1. **Explicit paths:** Use clear file paths
2. **Check existence:** Handle missing files gracefully
3. **Relative paths:** Use project-relative paths
4. **Glob support:** Consider using Glob tool for patterns
### Bash Commands
1. **Limit scope:** Use `Bash(git:*)` not `Bash(*)`
2. **Safe commands:** Avoid destructive operations
3. **Handle errors:** Consider command failures
4. **Keep fast:** Long-running commands slow invocation
### Documentation
1. **Add comments:** Explain complex logic
2. **Provide examples:** Show usage in comments
3. **List requirements:** Document dependencies
4. **Version commands:** Note breaking changes
```markdown
---
description: Deploy application to environment
argument-hint: [environment] [version]
---
<!--
Usage: /deploy [staging|production] [version]
Requires: AWS credentials configured
Example: /deploy staging v1.2.3
-->
Deploy application to $1 environment using version $2...
```
## Common Patterns
### Review Pattern
```markdown
---
description: Review code changes
allowed-tools: Read, Bash(git:*)
---
Files changed: !`git diff --name-only`
Review each file for:
1. Code quality and style
2. Potential bugs or issues
3. Test coverage
4. Documentation needs
Provide specific feedback for each file.
```
### Testing Pattern
```markdown
---
description: Run tests for specific file
argument-hint: [test-file]
allowed-tools: Bash(npm:*)
---
Run tests: !`npm test $1`
Analyze results and suggest fixes for failures.
```
### Documentation Pattern
```markdown
---
description: Generate documentation for file
argument-hint: [source-file]
---
Generate comprehensive documentation for @$1 including:
- Function/class descriptions
- Parameter documentation
- Return value descriptions
- Usage examples
- Edge cases and errors
```
### Workflow Pattern
```markdown
---
description: Complete PR workflow
argument-hint: [pr-number]
allowed-tools: Bash(gh:*), Read
---
PR #$1 Workflow:
1. Fetch PR: !`gh pr view $1`
2. Review changes
3. Run checks
4. Approve or request changes
```
## Troubleshooting
**Command not appearing:**
- Check file is in correct directory
- Verify `.md` extension present
- Ensure valid Markdown format
- Restart Claude Code
**Arguments not working:**
- Verify `$1`, `$2` syntax correct
- Check `argument-hint` matches usage
- Ensure no extra spaces
**Bash execution failing:**
- Check `allowed-tools` includes Bash
- Verify command syntax in backticks
- Test command in terminal first
- Check for required permissions
**File references not working:**
- Verify `@` syntax correct
- Check file path is valid
- Ensure Read tool allowed
- Use absolute or project-relative paths
## Plugin-Specific Features
### CLAUDE_PLUGIN_ROOT Variable
Plugin commands have access to `${CLAUDE_PLUGIN_ROOT}`, an environment variable that resolves to the plugin's absolute path.
**Purpose:**
- Reference plugin files portably
- Execute plugin scripts
- Load plugin configuration
- Access plugin templates
**Basic usage:**
```markdown
---
description: Analyze using plugin script
allowed-tools: Bash(node:*)
---
Run analysis: !`node ${CLAUDE_PLUGIN_ROOT}/scripts/analyze.js $1`
Review results and report findings.
```
**Common patterns:**
```markdown
# Execute plugin script
!`bash ${CLAUDE_PLUGIN_ROOT}/scripts/script.sh`
# Load plugin configuration
@${CLAUDE_PLUGIN_ROOT}/config/settings.json
# Use plugin template
@${CLAUDE_PLUGIN_ROOT}/templates/report.md
# Access plugin resources
@${CLAUDE_PLUGIN_ROOT}/docs/reference.md
```
**Why use it:**
- Works across all installations
- Portable between systems
- No hardcoded paths needed
- Essential for multi-file plugins
### Plugin Command Organization
Plugin commands discovered automatically from `commands/` directory:
```
plugin-name/
├── commands/
│ ├── foo.md # /foo (plugin:plugin-name)
│ ├── bar.md # /bar (plugin:plugin-name)
│ └── utils/
│ └── helper.md # /helper (plugin:plugin-name:utils)
└── plugin.json
```
**Namespace benefits:**
- Logical command grouping
- Shown in `/help` output
- Avoid name conflicts
- Organize related commands
**Naming conventions:**
- Use descriptive action names
- Avoid generic names (test, run)
- Consider plugin-specific prefix
- Use hyphens for multi-word names
### Plugin Command Patterns
**Configuration-based pattern:**
```markdown
---
description: Deploy using plugin configuration
argument-hint: [environment]
allowed-tools: Read, Bash(*)
---
Load configuration: @${CLAUDE_PLUGIN_ROOT}/config/$1-deploy.json
Deploy to $1 using configuration settings.
Monitor deployment and report status.
```
**Template-based pattern:**
```markdown
---
description: Generate docs from template
argument-hint: [component]
---
Template: @${CLAUDE_PLUGIN_ROOT}/templates/docs.md
Generate documentation for $1 following template structure.
```
**Multi-script pattern:**
```markdown
---
description: Complete build workflow
allowed-tools: Bash(*)
---
Build: !`bash ${CLAUDE_PLUGIN_ROOT}/scripts/build.sh`
Test: !`bash ${CLAUDE_PLUGIN_ROOT}/scripts/test.sh`
Package: !`bash ${CLAUDE_PLUGIN_ROOT}/scripts/package.sh`
Review outputs and report workflow status.
```
**See `references/plugin-features-reference.md` for detailed patterns.**
## Integration with Plugin Components
Commands can integrate with other plugin components for powerful workflows.
### Agent Integration
Launch plugin agents for complex tasks:
```markdown
---
description: Deep code review
argument-hint: [file-path]
---
Initiate comprehensive review of @$1 using the code-reviewer agent.
The agent will analyze:
- Code structure
- Security issues
- Performance
- Best practices
Agent uses plugin resources:
- ${CLAUDE_PLUGIN_ROOT}/config/rules.json
- ${CLAUDE_PLUGIN_ROOT}/checklists/review.md
```
**Key points:**
- Agent must exist in `plugin/agents/` directory
- Claude uses Task tool to launch agent
- Document agent capabilities
- Reference plugin resources agent uses
### Skill Integration
Leverage plugin skills for specialized knowledge:
```markdown
---
description: Document API with standards
argument-hint: [api-file]
---
Document API in @$1 following plugin standards.
Use the api-docs-standards skill to ensure:
- Complete endpoint documentation
- Consistent formatting
- Example quality
- Error documentation
Generate production-ready API docs.
```
**Key points:**
- Skill must exist in `plugin/skills/` directory
- Mention skill name to trigger invocation
- Document skill purpose
- Explain what skill provides
### Hook Coordination
Design commands that work with plugin hooks:
- Commands can prepare state for hooks to process
- Hooks execute automatically on tool events
- Commands should document expected hook behavior
- Guide Claude on interpreting hook output
See `references/plugin-features-reference.md` for examples of commands that coordinate with hooks
### Multi-Component Workflows
Combine agents, skills, and scripts:
```markdown
---
description: Comprehensive review workflow
argument-hint: [file]
allowed-tools: Bash(node:*), Read
---
Target: @$1
Phase 1 - Static Analysis:
!`node ${CLAUDE_PLUGIN_ROOT}/scripts/lint.js $1`
Phase 2 - Deep Review:
Launch code-reviewer agent for detailed analysis.
Phase 3 - Standards Check:
Use coding-standards skill for validation.
Phase 4 - Report:
Template: @${CLAUDE_PLUGIN_ROOT}/templates/review.md
Compile findings into report following template.
```
**When to use:**
- Complex multi-step workflows
- Leverage multiple plugin capabilities
- Require specialized analysis
- Need structured outputs
## Validation Patterns
Commands should validate inputs and resources before processing.
### Argument Validation
```markdown
---
description: Deploy with validation
argument-hint: [environment]
---
Validate environment: !`echo "$1" | grep -E "^(dev|staging|prod)$" || echo "INVALID"`
If $1 is valid environment:
Deploy to $1
Otherwise:
Explain valid environments: dev, staging, prod
Show usage: /deploy [environment]
```
### File Existence Checks
```markdown
---
description: Process configuration
argument-hint: [config-file]
---
Check file exists: !`test -f $1 && echo "EXISTS" || echo "MISSING"`
If file exists:
Process configuration: @$1
Otherwise:
Explain where to place config file
Show expected format
Provide example configuration
```
### Plugin Resource Validation
```markdown
---
description: Run plugin analyzer
allowed-tools: Bash(test:*)
---
Validate plugin setup:
- Script: !`test -x ${CLAUDE_PLUGIN_ROOT}/bin/analyze && echo "✓" || echo "✗"`
- Config: !`test -f ${CLAUDE_PLUGIN_ROOT}/config.json && echo "✓" || echo "✗"`
If all checks pass, run analysis.
Otherwise, report missing components.
```
### Error Handling
```markdown
---
description: Build with error handling
allowed-tools: Bash(*)
---
Execute build: !`bash ${CLAUDE_PLUGIN_ROOT}/scripts/build.sh 2>&1 || echo "BUILD_FAILED"`
If build succeeded:
Report success and output location
If build failed:
Analyze error output
Suggest likely causes
Provide troubleshooting steps
```
**Best practices:**
- Validate early in command
- Provide helpful error messages
- Suggest corrective actions
- Handle edge cases gracefully
---
For detailed frontmatter field specifications, see `references/frontmatter-reference.md`.
For plugin-specific features and patterns, see `references/plugin-features-reference.md`.
For command pattern examples, see `examples/` directory.

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