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spec-kit/AGENTS.md
2025-09-19 18:01:47 -07:00

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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/prompts/ Markdown N/A (IDE-based) GitHub Copilot in VS Code
Cursor .cursor/commands/ Markdown cursor-agent Cursor CLI
Qwen Code .qwen/commands/ TOML qwen Alibaba's Qwen Code CLI
opencode .opencode/command/ Markdown opencode opencode CLI
Windsurf .windsurf/workflows/ Markdown N/A (IDE-based) Windsurf IDE workflows

Step-by-Step Integration Guide

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

1. Update AI_CHOICES Constant

Add the new agent to the AI_CHOICES dictionary in src/specify_cli/__init__.py:

AI_CHOICES = {
    "copilot": "GitHub Copilot",
    "claude": "Claude Code", 
    "gemini": "Gemini CLI",
    "cursor": "Cursor",
    "qwen": "Qwen Code",
    "opencode": "opencode",
    "windsurf": "Windsurf"  # Add new agent here
}

2. Update CLI Help Text

Update all help text and examples to include the new agent:

  • Command option help: --ai parameter description
  • Function docstrings and examples
  • Error messages with agent lists

3. Update Release Package Script

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

Add to ALL_AGENTS array:
ALL_AGENTS=(claude gemini copilot cursor qwen opencode windsurf)
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 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
    }
}

5. 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: Skip CLI checks for IDE-based agents (Copilot, Windsurf).

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

IDE-Based Agents

Work within integrated development environments:

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

Command File Formats

Markdown Format

Used by: Claude, Cursor, opencode, Windsurf

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

Command content with {SCRIPT} and $ARGUMENTS placeholders.

TOML Format

Used by: Gemini, Qwen

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/prompts/
    • 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. Forgetting update scripts: Both bash and PowerShell scripts must be updated
  2. Missing CLI checks: Only add for agents that actually have CLI tools
  3. Wrong argument format: Use correct placeholder format for each agent type
  4. Directory naming: Follow agent-specific conventions exactly
  5. Help text inconsistency: Update all user-facing text consistently

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

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