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Generates specifications, plans, and implementations using AI agents through a phased workflow.\nhomepage: https://github.com/github/spec-kit\nmetadata: {\"clawdbot\":{\"emoji\":\"💫\",\"requires\":{\"bins\":[\"uv\",\"python3\",\"git\"]},\"install\":[{\"id\":\"uv-tool\",\"kind\":\"shell\",\"command\":\"uv tool install specify-cli --from git+https://github.com/github/spec-kit.git\",\"label\":\"Install Spec Kit via uv\"}]}}\n---\n\n# Spec Kit - Spec-Driven Development\n\nA toolkit for building high-quality software faster through structured, AI-assisted specification-driven development.\n\n## Core Philosophy\n\n**Spec-Driven Development** flips traditional software development:\n- Specifications become **executable** - they directly generate working implementations\n- Focus on **what and why** before **how**\n- Multi-step refinement instead of one-shot code generation\n- AI agents interpret and execute structured workflows\n\n## Prerequisites\n\n- **uv** (package manager): `brew install uv` or `curl -LsSf https://astral.sh/uv/install.sh | sh`\n- **Python 3.11+**: `python3 --version`\n- **Git**: `git --version`\n- **Supported AI Agent**: Claude Code, Cursor, Windsurf, GitHub Copilot, Gemini CLI, etc.\n\n## Installation\n\n### Persistent Installation (Recommended)\n```bash\nuv tool install specify-cli --from git+https://github.com/github/spec-kit.git\n```\n\n### One-time Usage\n```bash\nuvx --from git+https://github.com/github/spec-kit.git specify init <PROJECT_NAME>\n```\n\n### Upgrade\n```bash\nuv tool install specify-cli --force --from git+https://github.com/github/spec-kit.git\n```\n\n## Workflow Overview\n\n### 6-Phase Development Process\n\n| Phase | Command | Purpose |\n|-------|---------|---------|\n| 1. **Constitution** | `/speckit.constitution` | Establish project principles and governance |\n| 2. **Specification** | `/speckit.specify` | Define *what* to build (requirements, user stories) |\n| 3. **Planning** | `/speckit.plan` | Define *how* to build (tech stack, architecture) |\n| 4. **Task Breakdown** | `/speckit.tasks` | Generate actionable task lists |\n| 5. **Analysis** (Optional) | `/speckit.analyze` | Validate consistency and coverage |\n| 6. **Implementation** | `/speckit.implement` | Execute tasks and build the feature |\n\n**Optional Commands:**\n- `/speckit.clarify` - Clarify underspecified areas (run before `/speckit.plan`)\n- `/speckit.checklist` - Generate quality validation checklists\n\n## Usage Guide\n\n### Step 1: Initialize Project\n\n```bash\n# Create new project\nspecify init my-project --ai claude\n\n# Initialize in current directory\nspecify init . --ai claude\n# or\nspecify init --here --ai claude\n\n# Force merge into non-empty directory\nspecify init . --force --ai claude\n\n# Check installed tools\nspecify check\n```\n\n### Step 2: Establish Project Principles\n\nLaunch your AI agent in the project directory and create governing principles:\n\n```\n/speckit.constitution Create principles focused on code quality, testing standards, user experience consistency, and performance requirements. Include governance for technical decisions and implementation choices.\n```\n\n**Output:** `.specify/memory/constitution.md`\n\n### Step 3: Create Specification\n\nDescribe **what** you want to build (focus on requirements, not tech stack):\n\n```\n/speckit.specify Build a photo album organizer. Albums are grouped by date and can be re-organized via drag-and-drop. Albums are never nested. Within each album, photos are displayed in a tile interface with preview thumbnails.\n```\n\n**Output:** `.specify/specs/001-feature-name/spec.md`\n\n**Important:** Be explicit about:\n- What you're building and why\n- User workflows and requirements\n- Constraints and business rules\n\n### Step 4: Clarify Requirements (Recommended)\n\nBefore planning, clarify any underspecified areas:\n\n```\n/speckit.clarify\n```\n\nThe agent will ask structured questions and record answers in a **Clarifications** section.\n\n**Alternatively**, refine manually:\n```\nFor each project, create 5-15 tasks randomly distributed across different completion states. Ensure at least one task exists in each stage.\n```\n\nValidate the **Review & Acceptance Checklist**:\n```\nRead the review and acceptance checklist. Check off each item that meets criteria. Leave unchecked if requirements are not met.\n```\n\n### Step 5: Generate Technical Plan\n\nSpecify **how** to build (tech stack, architecture):\n\n```\n/speckit.plan Use Vite with minimal libraries. Use vanilla HTML, CSS, and JavaScript. Images are stored locally, metadata in SQLite. No external uploads.\n```\n\n**Output:** Implementation details in `.specify/specs/001-feature-name/`:\n- `plan.md` - Overall implementation plan\n- `data-model.md` - Database schema\n- `contracts/api-spec.json` - API contracts\n- `research.md` - Tech stack research\n\n**Validate the plan:**\n```\nAudit the implementation plan and detail files. Verify there's a clear sequence of tasks. Cross-reference core implementation steps with implementation details. Check for over-engineering or missing pieces.\n```\n\n### Step 6: Generate Task Breakdown\n\nBreak the plan into actionable tasks:\n\n```\n/speckit.tasks\n```\n\n**Output:** `.specify/specs/001-feature-name/tasks.md`\n\n**Task breakdown includes:**\n- Tasks organized by user story\n- Dependency ordering (e.g., models → services → endpoints)\n- Parallel execution markers `[P]` for concurrent tasks\n- File paths for each task\n- Test-driven development structure\n- Checkpoint validations per phase\n\n### Step 7: Implement\n\nExecute the implementation plan:\n\n```\n/speckit.implement\n```\n\n**What it does:**\n- Validates prerequisites (constitution, spec, plan, tasks)\n- Parses task breakdown from `tasks.md`\n- Executes tasks in dependency order\n- Respects parallel execution markers\n- Follows TDD approach\n- Provides progress updates\n\n**Important:** The AI agent will execute local CLI commands (`npm`, `dotnet`, `python`, etc.). Ensure required tools are installed.\n\n**After implementation:**\n- Test the application thoroughly\n- Check for runtime errors (browser console, server logs)\n- Copy errors back to the AI agent for resolution\n\n## CLI Reference\n\n### Commands\n\n```bash\nspecify init <project-name>     # Initialize new project\nspecify check                    # Check for required tools\n```\n\n### Options\n\n| Option | Description |\n|--------|-------------|\n| `--ai <agent>` | AI assistant: `claude`, `gemini`, `copilot`, `cursor-agent`, `windsurf`, etc. |\n| `--here` | Initialize in current directory |\n| `--force` | Force merge/overwrite (skip confirmation) |\n| `--no-git` | Skip git repository initialization |\n| `--ignore-agent-tools` | Skip AI agent tool checks |\n| `--script <type>` | Script variant: `sh` (bash/zsh) or `ps` (PowerShell) |\n| `--debug` | Enable detailed debug output |\n| `--github-token <token>` | GitHub token for API requests (or use `GH_TOKEN` env var) |\n\n### Environment Variables\n\n| Variable | Description |\n|----------|-------------|\n| `SPECIFY_FEATURE` | Override feature detection for non-Git repos. Set to feature dir name (e.g., `001-photo-albums`) |\n\n**Note:** Must be set in the agent's context before using `/speckit.plan` or follow-up commands.\n\n## Supported AI Agents\n\n| Agent | Status | Notes |\n|-------|--------|-------|\n| Claude Code | ✅ | |\n| Cursor | ✅ | |\n| Windsurf | ✅ | |\n| GitHub Copilot | ✅ | |\n| Gemini CLI | ✅ | |\n| Qoder CLI | ✅ | |\n| Amp | ✅ | |\n| Roo Code | ✅ | |\n| Jules | ✅ | |\n| Amazon Q Developer CLI | ⚠️ | Does not support custom arguments for slash commands |\n\n## Project Structure\n\nAfter initialization:\n\n```\nproject-root/\n├── .specify/\n│   ├── memory/\n│   │   └── constitution.md          # Project governance\n│   ├── scripts/\n│   │   ├── create-new-feature.sh\n│   │   ├── setup-plan.sh\n│   │   └── update-claude-md.sh\n│   ├── specs/\n│   │   └── 001-feature-name/\n│   │       ├── spec.md              # Requirements & user stories\n│   │       ├── plan.md              # Implementation plan\n│   │       ├── tasks.md             # Task breakdown\n│   │       ├── data-model.md        # Database schema\n│   │       ├── research.md          # Tech stack research\n│   │       └── contracts/\n│   │           └── api-spec.json    # API contracts\n│   └── templates/\n│       ├── spec-template.md\n│       ├── plan-template.md\n│       └── tasks-template.md\n```\n\n## Best Practices\n\n### 1. Constitution First\nAlways start with `/speckit.constitution`. It guides all subsequent decisions.\n\n### 2. Separate Concerns\n- **Specification**: Focus on *what* and *why*, not *how*\n- **Planning**: Tech stack and architecture come *after* requirements\n\n### 3. Clarify Before Planning\nRun `/speckit.clarify` before `/speckit.plan` to reduce rework downstream.\n\n### 4. Validate Everything\n- After `/speckit.specify`: Validate acceptance checklist\n- After `/speckit.plan`: Audit for over-engineering, missing steps\n- After `/speckit.tasks`: Run `/speckit.analyze` for consistency\n\n### 5. Iterative Refinement\nDon't treat the first attempt as final. Refine specs, plans, and tasks through dialogue with the AI agent.\n\n### 6. Test Runtime Behavior\nAI-generated code may compile but fail at runtime. Always test in the browser/environment and report errors back to the agent.\n\n## Development Phases\n\n| Phase | Focus | Key Activities |\n|-------|-------|----------------|\n| **0-to-1 (Greenfield)** | Generate from scratch | Start with requirements → spec → plan → build |\n| **Creative Exploration** | Parallel implementations | Explore diverse solutions, UX patterns, tech stacks |\n| **Iterative Enhancement (Brownfield)** | Modernization | Add features, modernize legacy, adapt processes |\n\n## Experimental Goals\n\n- **Technology Independence**: Validate that Spec-Driven Development works across any stack\n- **Enterprise Constraints**: Support compliance, design systems, cloud providers\n- **User-Centric Development**: Build for different cohorts and preferences\n- **Creative & Iterative Processes**: Parallel explorations, robust iteration, upgrades\n\n## Troubleshooting\n\n### Git Credential Manager on Linux\n\nIf Git authentication fails on Linux:\n\n```bash\nwget https://github.com/git-ecosystem/git-credential-manager/releases/download/v2.6.1/gcm-linux_amd64.2.6.1.deb\nsudo dpkg -i gcm-linux_amd64.2.6.1.deb\ngit config --global credential.helper manager\nrm gcm-linux_amd64.2.6.1.deb\n```\n\n### Agent Not Finding Commands\n\nIf `/speckit.*` commands aren't available:\n1. 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