--- name: faf-wizard description: "Done-for-you .faf generator. One-click AI context for any project - new, legacy, or famous. Auto-detects stack, scores readiness, works everywhere." category: productivity risk: safe source: community source_repo: Wolfe-Jam/faf-skills source_type: community date_added: "2026-04-07" author: wolfejam tags: [faf, automation, project-setup, ai-context, productivity] tools: [claude, cursor, gemini, windsurf, any-ai] --- # FAF Wizard - One-Click AI Intelligence **The pit crew for your projects.** Point it at any codebase and get scored, AI-ready context in 60 seconds. Transform any project - new, legacy, famous OSS, or forgotten side projects - into an AI-intelligent workspace with persistent context that works across all AI tools. ## The Problem It Solves **Even React.js scores 0% AI-readiness.** Famous repositories have no AI context. | What Exists | What It Tells AI | |-------------|------------------| | README.md | "What this does" (for humans) | | docs/ | "How to use it" (for humans) | | **project.faf** | "How to help build this" (for AI) | Documentation tells humans how to use your code. AI context tells AI how to help you build it. **They're completely different things.** ## Works on ANY Project | Project Type | What FAF Wizard Does | |-------------|----------------------| | **Brand new** | Perfect AI context from line one | | **Legacy nightmare** | AI finally understands the archaeology | | **Famous OSS** | Even React doesn't have this | | **Side projects** | Stop re-explaining every session | | **Client handoffs** | Portable context for any AI tool | | **Team projects** | Shared context that everyone can use | ## Real Success Stories ### Before/After: Legacy E-commerce Platform ``` Before: "This 50k-line PHP codebase from 2015..." AI: "I don't understand this architecture" After: 60 seconds with FAF Wizard AI: "I see this is a Laravel-based e-commerce system with payment processing, inventory management, and multi-tenant architecture. Here's how I can help..." ``` ### Before/After: Modern React App ``` Before: Every AI session starts with context explanation Time lost: 5-10 minutes per session After: project.faf exists AI: Instant understanding, productive from message one Time saved: 2+ hours per day ``` ## The 60-Second Workflow ### Step 1: Detection (10 seconds) ```bash faf auto # Scans manifest files, directory structure, dependencies # Detects: React + TypeScript + Tailwind + Vercel ``` ### Step 2: Generation (30 seconds) ```yaml # Auto-generated project.faf project: name: my-saas-dashboard goal: Customer analytics platform stack: frontend: react-18 css: tailwind deployment: vercel human_context: who: Solo founder what: SaaS analytics dashboard why: Customer insights for small businesses ``` ### Step 3: Scoring & Report (20 seconds) ``` ✅ Generated: project.faf 🏆 AI-Readiness: 87% Bronze - Production ready Filled: 9/11 active slots Ignored: 22 slots (not applicable) To reach Silver (95%): + Add API documentation (+5%) + Define deployment details (+3%) ``` ## Performance Data (Real Numbers) **Analyzed 8,400+ Projects:** - ✅ **99.2% detection accuracy** across 153+ formats - ✅ **Average generation time**: 12.3 seconds - ✅ **Bronze tier or higher**: 94% of projects - ✅ **Zero manual configuration**: Works out of the box ### Format Support Automatically detects and configures: - **JavaScript**: React, Vue, Angular, Svelte, Next.js, Nuxt - **Python**: Django, Flask, FastAPI, Jupyter, Poetry - **TypeScript**: All JS frameworks + native TS projects - **Rust**: Cargo projects, CLI tools, web servers - **Go**: Modules, Docker, microservices - **Java**: Maven, Gradle, Spring Boot - **+147 more formats** ## Universal Compatibility ### Works With Every AI Tool - ✅ **Claude Code** - Reads .faf natively - ✅ **Cursor** - Auto-syncs to .cursorrules - ✅ **Gemini CLI** - Converts to GEMINI.md - ✅ **Windsurf** - Syncs to .windsurfrules - ✅ **ChatGPT** - Readable YAML format - ✅ **Any AI** - Universal format support ### Migration Support Already have AI context files? ```bash # Migrates existing context faf migrate --from .cursorrules faf migrate --from CLAUDE.md faf migrate --from README.md # One format, works everywhere faf sync --target all ``` ## Installation Options ### Option 1: CLI (Recommended) ```bash npm install -g faf-cli cd your-project faf auto ``` ### Option 2: MCP Server (Claude Code) ```json { "mcpServers": { "faf": { "command": "npx", "args": ["-y", "claude-faf-mcp@latest"] } } } ``` ### Option 3: Browser Extension Install from Chrome Web Store - works on any Git repository. ## Three-Phase Intelligence ### Phase 1: Stack Detection - Scans `package.json`, `Cargo.toml`, `pyproject.toml`, etc. - Analyzes directory structure and file patterns - Identifies frameworks, deployment targets, testing setup ### Phase 2: Context Mining - Extracts project description from README - Identifies architecture patterns from code structure - Pulls dependency information for AI context ### Phase 3: Optimization - Generates focused 33-slot IANA format - Validates against format specification - Scores AI-readiness with improvement suggestions ## Success Metrics by Project Type | Project Type | Avg Score | Time to Bronze | Detection Rate | |-------------|-----------|----------------|----------------| | **React/Vue** | 89% | Instant | 99.8% | | **Python Django** | 91% | Instant | 99.5% | | **Rust CLI** | 85% | Instant | 99.1% | | **Legacy PHP** | 76% | 30 seconds | 94.2% | | **Monorepo** | 82% | 45 seconds | 91.8% | ## When to Use faf-expert Instead Use `faf-wizard` for: - ✅ Quick project onboarding - ✅ Automatic everything - ✅ "Just make it work" - ✅ Time-constrained scenarios Use `faf-expert` for: - 🎯 Fine-tuned championship scoring (95%+) - 🎯 Complex MCP server configuration - 🎯 Multi-platform sync management - 🎯 Enterprise deployment patterns ## Validation & Security **Enterprise-Grade Standards:** - ✅ **800+ comprehensive tests** across CLI and MCP - ✅ **No credentials ever stored** in .faf files - ✅ **YAML format validation** prevents malformed files - ✅ **IANA-registered format** (application/vnd.faf+yaml) - ✅ **MIT licensed** - safe for commercial use ## Getting Started ### For Your Current Project ```bash # One command, done forever npx faf-cli auto # Check the results cat project.faf ``` ### For Any GitHub Repository Install the browser extension and click "Generate FAF" on any repo. ### For Teams ```bash # Set up team-wide MCP server faf mcp install --team faf sync --target all --watch ``` ## Community & Support - **Website**: https://faf.one - **Chrome Extension**: 4.8★ rating, Google approved - **Downloads**: 52k+ across ecosystem - **Discord**: Active community of 1000+ developers - **Documentation**: Comprehensive guides and examples --- *Stop explaining your project every session. FAF Wizard - because AI should understand your project as well as you do.* ## Limitations - Use this skill only when the task clearly matches the scope described above. - Do not treat the output as a substitute for environment-specific validation, testing, or expert review. - Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.