* Initial plan * feat(templates): add pluggable template system with packs, catalog, resolver, and CLI commands Co-authored-by: mnriem <15701806+mnriem@users.noreply.github.com> * test(templates): add comprehensive unit tests for template pack system Co-authored-by: mnriem <15701806+mnriem@users.noreply.github.com> * feat(presets): pluggable preset system with template/command overrides, catalog, and resolver - Rename 'template packs' to 'presets' to avoid naming collision with core templates - PresetManifest, PresetRegistry, PresetManager, PresetCatalog, PresetResolver in presets.py - Extract CommandRegistrar to agents.py as shared infrastructure - CLI: specify preset list/add/remove/search/resolve/info - CLI: specify preset catalog list/add/remove - --preset option on specify init - Priority-based preset stacking (--priority, lower = higher precedence) - Command overrides registered into all detected agent directories (17+ agents) - Extension command safety: skip registration if target extension not installed - Multi-catalog support: env var, project config, user config, built-in defaults - resolve_template() / Resolve-Template in bash/PowerShell scripts - Self-test preset: overrides all 6 core templates + 1 command - Scaffold with 4 examples: core/extension template and command overrides - Preset catalog (catalog.json, catalog.community.json) - Documentation: README.md, ARCHITECTURE.md, PUBLISHING.md - 110 preset tests, 253 total tests passing * feat(presets): propagate command overrides to skills via init-options - Add save_init_options() / load_init_options() helpers that persist CLI flags from 'specify init' to .specify/init-options.json - PresetManager._register_skills() overwrites SKILL.md files when --ai-skills was used during init and corresponding skill dirs exist - PresetManager._unregister_skills() restores core template content on preset removal - registered_skills stored in preset registry metadata - 8 new tests covering skill override, skip conditions, and restore * fix: address PR check failures (ruff F541, CodeQL URL substring) - Remove extraneous f-prefix from two f-strings without placeholders - Replace substring URL check in test with startswith/endswith assertions to satisfy CodeQL incomplete URL substring sanitization rule * fix: address Copilot PR review comments - Move save_init_options() before preset install so skills propagation works during 'specify init --preset --ai-skills' - Clean up downloaded ZIP after successful preset install during init - Validate --from URL scheme (require HTTPS, HTTP only for localhost) - Expose unregister_commands() on extensions.py CommandRegistrar wrapper instead of reaching into private _registrar field - Use _get_merged_packs() for search() and get_pack_info() so all active catalogs are searched, not just the highest-priority one - Fix fetch_catalog() cache to verify cached URL matches current URL - Fix PresetResolver: script resolution uses .sh extension, consistent file extensions throughout resolve(), and resolve_with_source() delegates to resolve() to honor template_type parameter - Fix bash common.sh: fall through to directory scan when python3 returns empty preset list - Fix PowerShell Resolve-Template: filter out dot-folders and sort extensions deterministically * fix: narrow empty except blocks and add explanatory comments * fix: address Copilot PR review comments (round 2) - Fix init --preset error masking: distinguish "not found" from real errors - Fix bash resolve_template: skip hidden dirs in extensions (match Python/PS) - Fix temp dir leaks in tests: use temp_dir fixture instead of mkdtemp - Fix self-test catalog entry: add note that it's local-only (no download_url) - Fix Windows path issue in resolve_with_source: use Path.relative_to() - Fix skill restore path: use project's .specify/templates/commands/ not source tree - Add encoding="utf-8" to all file read/write in agents.py - Update test to set up core command templates for skill restoration * fix: remove self-test from catalog.json (local-only preset) * fix: address Copilot PR review comments (round 3) - Fix PS Resolve-Template fallback to skip dot-prefixed dirs (.cache) - Rename _catalog to _catalog_name for consistency with extension system - Enforce install_allowed policy in CLI preset add and download_pack() - Fix shell injection: pass registry path via env var instead of string interpolation * fix: correct PresetError docstring from template to preset * Removed CHANGELOG requirement * Applying review recommendations * Applying review recommendations * Applying review recommendations * Applying review recommendations --------- Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com> Co-authored-by: mnriem <15701806+mnriem@users.noreply.github.com>
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Preset Publishing Guide
This guide explains how to publish your preset to the Spec Kit preset catalog, making it discoverable by specify preset search.
Table of Contents
- Prerequisites
- Prepare Your Preset
- Submit to Catalog
- Verification Process
- Release Workflow
- Best Practices
Prerequisites
Before publishing a preset, ensure you have:
- Valid Preset: A working preset with a valid
preset.ymlmanifest - Git Repository: Preset hosted on GitHub (or other public git hosting)
- Documentation: README.md with description and usage instructions
- License: Open source license file (MIT, Apache 2.0, etc.)
- Versioning: Semantic versioning (e.g., 1.0.0)
- Testing: Preset tested on real projects with
specify preset add --dev
Prepare Your Preset
1. Preset Structure
Ensure your preset follows the standard structure:
your-preset/
├── preset.yml # Required: Preset manifest
├── README.md # Required: Documentation
├── LICENSE # Required: License file
├── CHANGELOG.md # Recommended: Version history
│
├── templates/ # Template overrides
│ ├── spec-template.md
│ ├── plan-template.md
│ └── ...
│
└── commands/ # Command overrides (optional)
└── speckit.specify.md
Start from the scaffold if you're creating a new preset.
2. preset.yml Validation
Verify your manifest is valid:
schema_version: "1.0"
preset:
id: "your-preset" # Unique lowercase-hyphenated ID
name: "Your Preset Name" # Human-readable name
version: "1.0.0" # Semantic version
description: "Brief description (one sentence)"
author: "Your Name or Organization"
repository: "https://github.com/your-org/spec-kit-preset-your-preset"
license: "MIT"
requires:
speckit_version: ">=0.1.0" # Required spec-kit version
provides:
templates:
- type: "template"
name: "spec-template"
file: "templates/spec-template.md"
description: "Custom spec template"
replaces: "spec-template"
tags: # 2-5 relevant tags
- "category"
- "workflow"
Validation Checklist:
- ✅
idis lowercase with hyphens only (no underscores, spaces, or special characters) - ✅
versionfollows semantic versioning (X.Y.Z) - ✅
descriptionis concise (under 200 characters) - ✅
repositoryURL is valid and public - ✅ All template and command files exist in the preset directory
- ✅ Template names are lowercase with hyphens only
- ✅ Command names use dot notation (e.g.
speckit.specify) - ✅ Tags are lowercase and descriptive
3. Test Locally
# Install from local directory
specify preset add --dev /path/to/your-preset
# Verify templates resolve from your preset
specify preset resolve spec-template
# Verify preset info
specify preset info your-preset
# List installed presets
specify preset list
# Remove when done testing
specify preset remove your-preset
If your preset includes command overrides, verify they appear in the agent directories:
# Check Claude commands (if using Claude)
ls .claude/commands/speckit.*.md
# Check Copilot commands (if using Copilot)
ls .github/agents/speckit.*.agent.md
# Check Gemini commands (if using Gemini)
ls .gemini/commands/speckit.*.toml
4. Create GitHub Release
Create a GitHub release for your preset version:
# Tag the release
git tag v1.0.0
git push origin v1.0.0
The release archive URL will be:
https://github.com/your-org/spec-kit-preset-your-preset/archive/refs/tags/v1.0.0.zip
5. Test Installation from Archive
specify preset add --from https://github.com/your-org/spec-kit-preset-your-preset/archive/refs/tags/v1.0.0.zip
Submit to Catalog
Understanding the Catalogs
Spec Kit uses a dual-catalog system:
catalog.json— Official, verified presets (install allowed by default)catalog.community.json— Community-contributed presets (discovery only by default)
All community presets should be submitted to catalog.community.json.
1. Fork the spec-kit Repository
git clone https://github.com/YOUR-USERNAME/spec-kit.git
cd spec-kit
2. Add Preset to Community Catalog
Edit presets/catalog.community.json and add your preset.
⚠️ Entries must be sorted alphabetically by preset ID. Insert your preset in the correct position within the
"presets"object.
{
"schema_version": "1.0",
"updated_at": "2026-03-10T00:00:00Z",
"catalog_url": "https://raw.githubusercontent.com/github/spec-kit/main/presets/catalog.community.json",
"presets": {
"your-preset": {
"name": "Your Preset Name",
"description": "Brief description of what your preset provides",
"author": "Your Name",
"version": "1.0.0",
"download_url": "https://github.com/your-org/spec-kit-preset-your-preset/archive/refs/tags/v1.0.0.zip",
"repository": "https://github.com/your-org/spec-kit-preset-your-preset",
"license": "MIT",
"requires": {
"speckit_version": ">=0.1.0"
},
"provides": {
"templates": 3,
"commands": 1
},
"tags": [
"category",
"workflow"
],
"created_at": "2026-03-10T00:00:00Z",
"updated_at": "2026-03-10T00:00:00Z"
}
}
}
3. Submit Pull Request
git checkout -b add-your-preset
git add presets/catalog.community.json
git commit -m "Add your-preset to community catalog
- Preset ID: your-preset
- Version: 1.0.0
- Author: Your Name
- Description: Brief description
"
git push origin add-your-preset
Pull Request Checklist:
## Preset Submission
**Preset Name**: Your Preset Name
**Preset ID**: your-preset
**Version**: 1.0.0
**Repository**: https://github.com/your-org/spec-kit-preset-your-preset
### Checklist
- [ ] Valid preset.yml manifest
- [ ] README.md with description and usage
- [ ] LICENSE file included
- [ ] GitHub release created
- [ ] Preset tested with `specify preset add --dev`
- [ ] Templates resolve correctly (`specify preset resolve`)
- [ ] Commands register to agent directories (if applicable)
- [ ] Commands match template sections (command + template are coherent)
- [ ] Added to presets/catalog.community.json
Verification Process
After submission, maintainers will review:
- Manifest validation — valid
preset.yml, all files exist - Template quality — templates are useful and well-structured
- Command coherence — commands reference sections that exist in templates
- Security — no malicious content, safe file operations
- Documentation — clear README explaining what the preset does
Once verified, verified: true is set and the preset appears in specify preset search.
Release Workflow
When releasing a new version:
- Update
versioninpreset.yml - Update CHANGELOG.md
- Tag and push:
git tag v1.1.0 && git push origin v1.1.0 - Submit PR to update
versionanddownload_urlinpresets/catalog.community.json
Best Practices
Template Design
- Keep sections clear — use headings and placeholder text the LLM can replace
- Match commands to templates — if your preset overrides a command, make sure it references the sections in your template
- Document customization points — use HTML comments to guide users on what to change
Naming
- Preset IDs should be descriptive:
healthcare-compliance,enterprise-safe,startup-lean - Avoid generic names:
my-preset,custom,test
Stacking
- Design presets to work well when stacked with others
- Only override templates you need to change
- Document which templates and commands your preset modifies
Command Overrides
- Only override commands when the workflow needs to change, not just the output format
- If you only need different template sections, a template override is sufficient
- Test command overrides with multiple agents (Claude, Gemini, Copilot)