[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-992ec693-3744-462c-9297-171aa7b7aa59":3,"$fwYq5Ea6mR9DA4VAPmhf6Ax_1owIip3ESDXLt9D-dAnY":43},{"id":4,"title":5,"description":6,"categoryId":7,"moduleId":8,"tags":9,"prompt":10,"icon":11,"source":12,"sourceUrl":13,"authorId":14,"authorName":15,"isPublic":16,"stars":17,"runs":18,"createdAt":19,"updatedAt":19,"module":20,"category":27,"packages":34},"992ec693-3744-462c-9297-171aa7b7aa59","faf-wizard","一键生成 .faf 生成器。为任何项目提供一键式AI上下文 - 新项目、旧项目或知名项目。自动检测堆栈，评分准备情况，适用于任何地方。","cat_life_career","mod_other","sickn33,other","---\nname: faf-wizard\ndescription: \"Done-for-you .faf generator. One-click AI context for any project - new, legacy, or famous. Auto-detects stack, scores readiness, works everywhere.\"\ncategory: productivity\nrisk: safe\nsource: community\nsource_repo: Wolfe-Jam\u002Ffaf-skills\nsource_type: community\ndate_added: \"2026-04-07\"\nauthor: wolfejam\ntags: [faf, automation, project-setup, ai-context, productivity]\ntools: [claude, cursor, gemini, windsurf, any-ai]\n---\n\n# FAF Wizard - One-Click AI Intelligence\n\n**The pit crew for your projects.** Point it at any codebase and get scored, AI-ready context in 60 seconds.\n\nTransform any project - new, legacy, famous OSS, or forgotten side projects - into an AI-intelligent workspace with persistent context that works across all AI tools.\n\n## The Problem It Solves\n\n**Even React.js scores 0% AI-readiness.** Famous repositories have no AI context.\n\n| What Exists | What It Tells AI |\n|-------------|------------------|\n| README.md | \"What this does\" (for humans) |\n| docs\u002F | \"How to use it\" (for humans) |\n| **project.faf** | \"How to help build this\" (for AI) |\n\nDocumentation tells humans how to use your code. AI context tells AI how to help you build it. **They're completely different things.**\n\n## Works on ANY Project\n\n| Project Type | What FAF Wizard Does |\n|-------------|----------------------|\n| **Brand new** | Perfect AI context from line one |\n| **Legacy nightmare** | AI finally understands the archaeology |\n| **Famous OSS** | Even React doesn't have this |\n| **Side projects** | Stop re-explaining every session |\n| **Client handoffs** | Portable context for any AI tool |\n| **Team projects** | Shared context that everyone can use |\n\n## Real Success Stories\n\n### Before\u002FAfter: Legacy E-commerce Platform\n```\nBefore: \"This 50k-line PHP codebase from 2015...\"\nAI: \"I don't understand this architecture\"\n\nAfter: 60 seconds with FAF Wizard\nAI: \"I see this is a Laravel-based e-commerce system with \npayment processing, inventory management, and multi-tenant \narchitecture. Here's how I can help...\"\n```\n\n### Before\u002FAfter: Modern React App\n```\nBefore: Every AI session starts with context explanation\nTime lost: 5-10 minutes per session\n\nAfter: project.faf exists\nAI: Instant understanding, productive from message one\nTime saved: 2+ hours per day\n```\n\n## The 60-Second Workflow\n\n### Step 1: Detection (10 seconds)\n```bash\nfaf auto\n# Scans manifest files, directory structure, dependencies\n# Detects: React + TypeScript + Tailwind + Vercel\n```\n\n### Step 2: Generation (30 seconds)  \n```yaml\n# Auto-generated project.faf\nproject:\n  name: my-saas-dashboard  \n  goal: Customer analytics platform\n\nstack:\n  frontend: react-18\n  css: tailwind\n  deployment: vercel\n  \nhuman_context:\n  who: Solo founder\n  what: SaaS analytics dashboard\n  why: Customer insights for small businesses\n```\n\n### Step 3: Scoring & Report (20 seconds)\n```\n✅ Generated: project.faf\n🏆 AI-Readiness: 87% Bronze - Production ready\n\nFilled: 9\u002F11 active slots\nIgnored: 22 slots (not applicable)\n\nTo reach Silver (95%):\n  + Add API documentation (+5%)  \n  + Define deployment details (+3%)\n```\n\n## Performance Data (Real Numbers)\n\n**Analyzed 8,400+ Projects:**\n- ✅ **99.2% detection accuracy** across 153+ formats\n- ✅ **Average generation time**: 12.3 seconds\n- ✅ **Bronze tier or higher**: 94% of projects\n- ✅ **Zero manual configuration**: Works out of the box\n\n### Format Support\nAutomatically detects and configures:\n- **JavaScript**: React, Vue, Angular, Svelte, Next.js, Nuxt\n- **Python**: Django, Flask, FastAPI, Jupyter, Poetry\n- **TypeScript**: All JS frameworks + native TS projects  \n- **Rust**: Cargo projects, CLI tools, web servers\n- **Go**: Modules, Docker, microservices\n- **Java**: Maven, Gradle, Spring Boot\n- **+147 more formats**\n\n## Universal Compatibility\n\n### Works With Every AI Tool\n- ✅ **Claude Code** - Reads .faf natively\n- ✅ **Cursor** - Auto-syncs to .cursorrules  \n- ✅ **Gemini CLI** - Converts to GEMINI.md\n- ✅ **Windsurf** - Syncs to .windsurfrules\n- ✅ **ChatGPT** - Readable YAML format\n- ✅ **Any AI** - Universal format support\n\n### Migration Support\nAlready have AI context files?\n```bash\n# Migrates existing context\nfaf migrate --from .cursorrules\nfaf migrate --from CLAUDE.md  \nfaf migrate --from README.md\n\n# One format, works everywhere\nfaf sync --target all\n```\n\n## Installation Options\n\n### Option 1: CLI (Recommended)\n```bash\nnpm install -g faf-cli\ncd your-project\nfaf auto\n```\n\n### Option 2: MCP Server (Claude Code)\n```json\n{\n  \"mcpServers\": {\n    \"faf\": {\n      \"command\": \"npx\", \n      \"args\": [\"-y\", \"claude-faf-mcp@latest\"]\n    }\n  }\n}\n```\n\n### Option 3: Browser Extension\nInstall from Chrome Web Store - works on any Git repository.\n\n## Three-Phase Intelligence\n\n### Phase 1: Stack Detection\n- Scans `package.json`, `Cargo.toml`, `pyproject.toml`, etc.\n- Analyzes directory structure and file patterns\n- Identifies frameworks, deployment targets, testing setup\n\n### Phase 2: Context Mining  \n- Extracts project description from README\n- Identifies architecture patterns from code structure\n- Pulls dependency information for AI context\n\n### Phase 3: Optimization\n- Generates focused 33-slot IANA format\n- Validates against format specification\n- Scores AI-readiness with improvement suggestions\n\n## Success Metrics by Project Type\n\n| Project Type | Avg Score | Time to Bronze | Detection Rate |\n|-------------|-----------|----------------|----------------|\n| **React\u002FVue** | 89% | Instant | 99.8% |\n| **Python Django** | 91% | Instant | 99.5% |  \n| **Rust CLI** | 85% | Instant | 99.1% |\n| **Legacy PHP** | 76% | 30 seconds | 94.2% |\n| **Monorepo** | 82% | 45 seconds | 91.8% |\n\n## When to Use faf-expert Instead\n\nUse `faf-wizard` for:\n- ✅ Quick project onboarding\n- ✅ Automatic everything\n- ✅ \"Just make it work\"\n- ✅ Time-constrained scenarios\n\nUse `faf-expert` for:\n- 🎯 Fine-tuned championship scoring (95%+)\n- 🎯 Complex MCP server configuration\n- 🎯 Multi-platform sync management  \n- 🎯 Enterprise deployment patterns\n\n## Validation & Security\n\n**Enterprise-Grade Standards:**\n- ✅ **800+ comprehensive tests** across CLI and MCP\n- ✅ **No credentials ever stored** in .faf files\n- ✅ **YAML format validation** prevents malformed files\n- ✅ **IANA-registered format** (application\u002Fvnd.faf+yaml)\n- ✅ **MIT licensed** - safe for commercial use\n\n## Getting Started\n\n### For Your Current Project\n```bash\n# One command, done forever\nnpx faf-cli auto\n\n# Check the results\ncat project.faf\n```\n\n### For Any GitHub Repository  \nInstall the browser extension and click \"Generate FAF\" on any repo.\n\n### For Teams\n```bash\n# Set up team-wide MCP server\nfaf mcp install --team\nfaf sync --target all --watch\n```\n\n## Community & Support\n\n- **Website**: https:\u002F\u002Ffaf.one\n- **Chrome Extension**: 4.8★ rating, Google approved\n- **Downloads**: 52k+ across ecosystem  \n- **Discord**: Active community of 1000+ developers\n- **Documentation**: Comprehensive guides and examples\n\n---\n\n*Stop explaining your project every session. FAF Wizard - because AI should understand your project as well as you do.*\n\n## Limitations\n- Use this skill only when the task clearly matches the scope described above.\n- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.\n- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.\n","","imported","https:\u002F\u002Fgithub.com\u002Fsickn33\u002Fantigravity-awesome-skills","user_system_seed","SkillOPIC",true,241,1901,"2026-05-16 13:17:32",{"id":8,"name":21,"slug":22,"icon":23,"description":24,"sort":25,"createdAt":26},"其他","other","mdi-page-next-outline","其他类型Skill",5,"2026-05-16 12:53:40",{"id":7,"name":28,"slug":29,"icon":30,"description":31,"moduleId":8,"sort":32,"skillCount":33,"createdAt":26},"职场发展","career","mdi-briefcase-outline","面试准备、简历优化、职业规划",4,575,[35],{"id":36,"skillId":4,"version":37,"fileName":38,"fileSize":39,"filePath":40,"fileHash":41,"manifest":42,"createdAt":19},"96d579ba-6300-4c8f-84f6-213c00ccaafe","1.0.0","faf-wizard.zip",3625,"uploads\u002Fskills\u002F992ec693-3744-462c-9297-171aa7b7aa59\u002Ffaf-wizard.zip","35bc10087fc428595d2f48afec0de6a529cf8dfc3d33ffb3bfa6e03ff248a72d","[{\"path\":\"SKILL.md\",\"isDirectory\":false,\"size\":7416}]",{"code":44,"message":45,"data":46},200,"success",{"items":47,"stats":48,"page":51},[],{"averageRating":49,"totalRatings":49,"ratingCounts":50},0,[49,49,49,49,49],{"limit":52,"offset":49,"hasMore":53,"nextOffset":52,"ratedOnly":16},15,false]