Files
spec-kit/AGENTS.md
黄黄汪 a177a1a6d1 feat: add Trae IDE support as a new agent (#1817)
* feat: add Trae IDE support as a new agent

Add Trae (https://www.trae.ai/) as a supported AI agent in spec-kit.
Trae is an IDE-based agent that uses .trae/rules/ directory for
project-level rules in Markdown format.

Changes across 9 files:
- src/specify_cli/__init__.py: Add trae to AGENT_CONFIG (IDE-based,
  .trae/ folder, rules subdir, no CLI required)
- src/specify_cli/extensions.py: Add trae to CommandRegistrar.AGENT_CONFIGS
  (.trae/rules, markdown format, .md extension)
- README.md: Add Trae to supported agents table, CLI examples, and
  --ai option description
- .github/workflows/scripts/create-release-packages.sh: Add trae to
  ALL_AGENTS array and build case statement
- .github/workflows/scripts/create-release-packages.ps1: Add trae to
  AllAgents array and switch statement
- .github/workflows/scripts/create-github-release.sh: Add trae template
  zip files to release assets
- scripts/bash/update-agent-context.sh: Add TRAE_FILE, trae case in
  update function, and auto-detect block
- scripts/powershell/update-agent-context.ps1: Add TRAE_FILE, ValidateSet
  entry, switch case, and auto-detect block
- tests/test_agent_config_consistency.py: Add 8 consistency tests for
  trae following established kimi/tabnine patterns

* fix: correct Generate-Commands parameter names for trae in PowerShell release script

Fix incorrect parameter names in the trae case of Build-Variant:
- -Format -> -Extension
- -ArgsToken -> -ArgFormat
- -OutDir -> -OutputDir

These now match the Generate-Commands function signature and all other
agent entries in the script.

Co-authored-by: Copilot <copilot@github.com>

* Update release packaging scripts and agent docs

* Update Agent.md

* Restore format

* Adjust order

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

* Unused

* fix: add TRAE_FILE to update_all_existing_agents() for auto-detect support

Add missing update_if_new call for TRAE_FILE in the bash
update-agent-context.sh script's update_all_existing_agents()
function, matching the PowerShell implementation.

This ensures running the script without arguments will correctly
auto-detect and update existing Trae agent files.

* Add configuration for 'trae' in agents.py

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

* Refactor trae configuration test for clarity

* Potential fix for pull request finding

Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>

* Update update-agent-context.sh

* Fix formatting in update-agent-context.sh

---------

Co-authored-by: root <root@g340-cd52-700-60f9-5561-211-6c32.byted.org>
Co-authored-by: root <root@g340-cd52-700-c3d1-c735-796-4b9e.byted.org>
Co-authored-by: Copilot <copilot@github.com>
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-03-17 10:03:54 -05:00

16 KiB

AGENTS.md

About Spec Kit and Specify

GitHub Spec Kit is a comprehensive toolkit for implementing Spec-Driven Development (SDD) - a methodology that emphasizes creating clear specifications before implementation. The toolkit includes templates, scripts, and workflows that guide development teams through a structured approach to building software.

Specify CLI is the command-line interface that bootstraps projects with the Spec Kit framework. It sets up the necessary directory structures, templates, and AI agent integrations to support the Spec-Driven Development workflow.

The toolkit supports multiple AI coding assistants, allowing teams to use their preferred tools while maintaining consistent project structure and development practices.


Adding New Agent Support

This section explains how to add support for new AI agents/assistants to the Specify CLI. Use this guide as a reference when integrating new AI tools into the Spec-Driven Development workflow.

Overview

Specify supports multiple AI agents by generating agent-specific command files and directory structures when initializing projects. Each agent has its own conventions for:

  • Command file formats (Markdown, TOML, etc.)
  • Directory structures (.claude/commands/, .windsurf/workflows/, etc.)
  • Command invocation patterns (slash commands, CLI tools, etc.)
  • Argument passing conventions ($ARGUMENTS, {{args}}, etc.)

Current Supported Agents

Agent Directory Format CLI Tool Description
Claude Code .claude/commands/ Markdown claude Anthropic's Claude Code CLI
Gemini CLI .gemini/commands/ TOML gemini Google's Gemini CLI
GitHub Copilot .github/agents/ Markdown N/A (IDE-based) GitHub Copilot in VS Code
Cursor .cursor/commands/ Markdown cursor-agent Cursor CLI
Qwen Code .qwen/commands/ Markdown qwen Alibaba's Qwen Code CLI
opencode .opencode/command/ Markdown opencode opencode CLI
Codex CLI .codex/commands/ Markdown codex Codex CLI
Windsurf .windsurf/workflows/ Markdown N/A (IDE-based) Windsurf IDE workflows
Kilo Code .kilocode/rules/ Markdown N/A (IDE-based) Kilo Code IDE
Auggie CLI .augment/rules/ Markdown auggie Auggie CLI
Roo Code .roo/rules/ Markdown N/A (IDE-based) Roo Code IDE
CodeBuddy CLI .codebuddy/commands/ Markdown codebuddy CodeBuddy CLI
Qoder CLI .qoder/commands/ Markdown qodercli Qoder CLI
Kiro CLI .kiro/prompts/ Markdown kiro-cli Kiro CLI
Amp .agents/commands/ Markdown amp Amp CLI
SHAI .shai/commands/ Markdown shai SHAI CLI
Tabnine CLI .tabnine/agent/commands/ TOML tabnine Tabnine CLI
Kimi Code .kimi/skills/ Markdown kimi Kimi Code CLI (Moonshot AI)
IBM Bob .bob/commands/ Markdown N/A (IDE-based) IBM Bob IDE
Trae .trae/rules/ Markdown N/A (IDE-based) Trae IDE
Generic User-specified via --ai-commands-dir Markdown N/A Bring your own agent

Step-by-Step Integration Guide

Follow these steps to add a new agent (using a hypothetical new agent as an example):

1. Add to AGENT_CONFIG

IMPORTANT: Use the actual CLI tool name as the key, not a shortened version.

Add the new agent to the AGENT_CONFIG dictionary in src/specify_cli/__init__.py. This is the single source of truth for all agent metadata:

AGENT_CONFIG = {
    # ... existing agents ...
    "new-agent-cli": {  # Use the ACTUAL CLI tool name (what users type in terminal)
        "name": "New Agent Display Name",
        "folder": ".newagent/",  # Directory for agent files
        "commands_subdir": "commands",  # Subdirectory name for command files (default: "commands")
        "install_url": "https://example.com/install",  # URL for installation docs (or None if IDE-based)
        "requires_cli": True,  # True if CLI tool required, False for IDE-based agents
    },
}

Key Design Principle: The dictionary key should match the actual executable name that users install. For example:

  • Use "cursor-agent" because the CLI tool is literally called cursor-agent
  • Don't use "cursor" as a shortcut if the tool is cursor-agent

This eliminates the need for special-case mappings throughout the codebase.

Field Explanations:

  • name: Human-readable display name shown to users
  • folder: Directory where agent-specific files are stored (relative to project root)
  • commands_subdir: Subdirectory name within the agent folder where command/prompt files are stored (default: "commands")
    • Most agents use "commands" (e.g., .claude/commands/)
    • Some agents use alternative names: "agents" (copilot), "workflows" (windsurf, kilocode), "prompts" (codex, kiro-cli), "command" (opencode - singular)
    • This field enables --ai-skills to locate command templates correctly for skill generation
  • install_url: Installation documentation URL (set to None for IDE-based agents)
  • requires_cli: Whether the agent requires a CLI tool check during initialization

2. Update CLI Help Text

Update the --ai parameter help text in the init() command to include the new agent:

ai_assistant: str = typer.Option(None, "--ai", help="AI assistant to use: claude, gemini, copilot, cursor-agent, qwen, opencode, codex, windsurf, kilocode, auggie, codebuddy, new-agent-cli, or kiro-cli"),

Also update any function docstrings, examples, and error messages that list available agents.

3. Update README Documentation

Update the Supported AI Agents section in README.md to include the new agent:

  • Add the new agent to the table with appropriate support level (Full/Partial)
  • Include the agent's official website link
  • Add any relevant notes about the agent's implementation
  • Ensure the table formatting remains aligned and consistent

4. Update Release Package Script

Modify .github/workflows/scripts/create-release-packages.sh:

Add to ALL_AGENTS array
ALL_AGENTS=(claude gemini copilot cursor-agent qwen opencode windsurf kiro-cli)
Add case statement for directory structure
case $agent in
  # ... existing cases ...
  windsurf)
    mkdir -p "$base_dir/.windsurf/workflows"
    generate_commands windsurf md "\$ARGUMENTS" "$base_dir/.windsurf/workflows" "$script" ;;
esac

4. Update GitHub Release Script

Modify .github/workflows/scripts/create-github-release.sh to include the new agent's packages:

gh release create "$VERSION" \
  # ... existing packages ...
  .genreleases/spec-kit-template-windsurf-sh-"$VERSION".zip \
  .genreleases/spec-kit-template-windsurf-ps-"$VERSION".zip \
  # Add new agent packages here

5. Update Agent Context Scripts

Bash script (scripts/bash/update-agent-context.sh)

Add file variable:

WINDSURF_FILE="$REPO_ROOT/.windsurf/rules/specify-rules.md"

Add to case statement:

case "$AGENT_TYPE" in
  # ... existing cases ...
  windsurf) update_agent_file "$WINDSURF_FILE" "Windsurf" ;;
  "")
    # ... existing checks ...
    [ -f "$WINDSURF_FILE" ] && update_agent_file "$WINDSURF_FILE" "Windsurf";
    # Update default creation condition
    ;;
esac
PowerShell script (scripts/powershell/update-agent-context.ps1)

Add file variable:

$windsurfFile = Join-Path $repoRoot '.windsurf/rules/specify-rules.md'

Add to switch statement:

switch ($AgentType) {
    # ... existing cases ...
    'windsurf' { Update-AgentFile $windsurfFile 'Windsurf' }
    '' {
        foreach ($pair in @(
            # ... existing pairs ...
            @{file=$windsurfFile; name='Windsurf'}
        )) {
            if (Test-Path $pair.file) { Update-AgentFile $pair.file $pair.name }
        }
        # Update default creation condition
    }
}

6. Update CLI Tool Checks (Optional)

For agents that require CLI tools, add checks in the check() command and agent validation:

# In check() command
tracker.add("windsurf", "Windsurf IDE (optional)")
windsurf_ok = check_tool_for_tracker("windsurf", "https://windsurf.com/", tracker)

# In init validation (only if CLI tool required)
elif selected_ai == "windsurf":
    if not check_tool("windsurf", "Install from: https://windsurf.com/"):
        console.print("[red]Error:[/red] Windsurf CLI is required for Windsurf projects")
        agent_tool_missing = True

Note: CLI tool checks are now handled automatically based on the requires_cli field in AGENT_CONFIG. No additional code changes needed in the check() or init() commands - they automatically loop through AGENT_CONFIG and check tools as needed.

Important Design Decisions

Using Actual CLI Tool Names as Keys

CRITICAL: When adding a new agent to AGENT_CONFIG, always use the actual executable name as the dictionary key, not a shortened or convenient version.

Why this matters:

  • The check_tool() function uses shutil.which(tool) to find executables in the system PATH
  • If the key doesn't match the actual CLI tool name, you'll need special-case mappings throughout the codebase
  • This creates unnecessary complexity and maintenance burden

Example - The Cursor Lesson:

Wrong approach (requires special-case mapping):

AGENT_CONFIG = {
    "cursor": {  # Shorthand that doesn't match the actual tool
        "name": "Cursor",
        # ...
    }
}

# Then you need special cases everywhere:
cli_tool = agent_key
if agent_key == "cursor":
    cli_tool = "cursor-agent"  # Map to the real tool name

Correct approach (no mapping needed):

AGENT_CONFIG = {
    "cursor-agent": {  # Matches the actual executable name
        "name": "Cursor",
        # ...
    }
}

# No special cases needed - just use agent_key directly!

Benefits of this approach:

  • Eliminates special-case logic scattered throughout the codebase
  • Makes the code more maintainable and easier to understand
  • Reduces the chance of bugs when adding new agents
  • Tool checking "just works" without additional mappings

7. Update Devcontainer files (Optional)

For agents that have VS Code extensions or require CLI installation, update the devcontainer configuration files:

VS Code Extension-based Agents

For agents available as VS Code extensions, add them to .devcontainer/devcontainer.json:

{
  "customizations": {
    "vscode": {
      "extensions": [
        // ... existing extensions ...
        // [New Agent Name]
        "[New Agent Extension ID]"
      ]
    }
  }
}
CLI-based Agents

For agents that require CLI tools, add installation commands to .devcontainer/post-create.sh:

#!/bin/bash

# Existing installations...

echo -e "\n🤖 Installing [New Agent Name] CLI..."
# run_command "npm install -g [agent-cli-package]@latest" # Example for node-based CLI
# or other installation instructions (must be non-interactive and compatible with Linux Debian "Trixie" or later)...
echo "✅ Done"

Quick Tips:

  • Extension-based agents: Add to the extensions array in devcontainer.json
  • CLI-based agents: Add installation scripts to post-create.sh
  • Hybrid agents: May require both extension and CLI installation
  • Test thoroughly: Ensure installations work in the devcontainer environment

Agent Categories

CLI-Based Agents

Require a command-line tool to be installed:

  • Claude Code: claude CLI
  • Gemini CLI: gemini CLI
  • Cursor: cursor-agent CLI
  • Qwen Code: qwen CLI
  • opencode: opencode CLI
  • Kiro CLI: kiro-cli CLI
  • CodeBuddy CLI: codebuddy CLI
  • Qoder CLI: qodercli CLI
  • Amp: amp CLI
  • SHAI: shai CLI
  • Tabnine CLI: tabnine CLI
  • Kimi Code: kimi CLI

IDE-Based Agents

Work within integrated development environments:

  • GitHub Copilot: Built into VS Code/compatible editors
  • Windsurf: Built into Windsurf IDE
  • IBM Bob: Built into IBM Bob IDE

Command File Formats

Markdown Format

Used by: Claude, Cursor, opencode, Windsurf, Kiro CLI, Amp, SHAI, IBM Bob, Kimi Code, Qwen

Standard format:

---
description: "Command description"
---

Command content with {SCRIPT} and $ARGUMENTS placeholders.

GitHub Copilot Chat Mode format:

---
description: "Command description"
mode: speckit.command-name
---

Command content with {SCRIPT} and $ARGUMENTS placeholders.

TOML Format

Used by: Gemini, Tabnine

description = "Command description"

prompt = """
Command content with {SCRIPT} and {{args}} placeholders.
"""

Directory Conventions

  • CLI agents: Usually .<agent-name>/commands/
  • IDE agents: Follow IDE-specific patterns:
    • Copilot: .github/agents/
    • Cursor: .cursor/commands/
    • Windsurf: .windsurf/workflows/

Argument Patterns

Different agents use different argument placeholders:

  • Markdown/prompt-based: $ARGUMENTS
  • TOML-based: {{args}}
  • Script placeholders: {SCRIPT} (replaced with actual script path)
  • Agent placeholders: __AGENT__ (replaced with agent name)

Testing New Agent Integration

  1. Build test: Run package creation script locally
  2. CLI test: Test specify init --ai <agent> command
  3. File generation: Verify correct directory structure and files
  4. Command validation: Ensure generated commands work with the agent
  5. Context update: Test agent context update scripts

Common Pitfalls

  1. Using shorthand keys instead of actual CLI tool names: Always use the actual executable name as the AGENT_CONFIG key (e.g., "cursor-agent" not "cursor"). This prevents the need for special-case mappings throughout the codebase.
  2. Forgetting update scripts: Both bash and PowerShell scripts must be updated when adding new agents.
  3. Incorrect requires_cli value: Set to True only for agents that actually have CLI tools to check; set to False for IDE-based agents.
  4. Wrong argument format: Use correct placeholder format for each agent type ($ARGUMENTS for Markdown, {{args}} for TOML).
  5. Directory naming: Follow agent-specific conventions exactly (check existing agents for patterns).
  6. Help text inconsistency: Update all user-facing text consistently (help strings, docstrings, README, error messages).

Future Considerations

When adding new agents:

  • Consider the agent's native command/workflow patterns
  • Ensure compatibility with the Spec-Driven Development process
  • Document any special requirements or limitations
  • Update this guide with lessons learned
  • Verify the actual CLI tool name before adding to AGENT_CONFIG

This documentation should be updated whenever new agents are added to maintain accuracy and completeness.