Agent skill · software engineering · sickn33

faf-expert

Advanced .faf (Foundational AI-context Format) specialist. IANA-registered format, MCP server config, championship scoring, bi-directional sync.

Why this skill is useful

Adds executable scripts for advanced .faf file management and MCP server configuration that enhance AI project readiness.

What it needs

Requires faf-cli installed locally. About 3k tokens when loaded. Last updated 2026-08-07. 44,571 stars on the source repository.

What this skill does

FAF Expert - Advanced AI Context Architecture Master the IANA-registered format that makes AI understand your projects. Transform any codebase into an AI-intelligent project with persistent context that survives across sessions, tools, and AI platforms. Expert-level control over the foundational layer that powers modern AI development workflows. When to Use This Skill Use FAF Expert when you need: Scenario What FAF Expert Provides ---------- --------------------------- Complex project setup Expert configuration of .faf files and MCP servers Championship scoring Achieve 85%+ AI-readiness scores for production projects Multi-AI workflows Universal context that works across Claude, Cursor, Gemini, Windsurf Legacy codebase revival Transform archaeology into AI-readable project DNA Team collaboration Standardized context format for consistent AI assistance Enterprise deployment Professional MCP server configuration and management Real-World Examples Example 1: Legacy Enterprise Java System Example 2: Modern React Dashboard Core Capabilities 🏆 Championship Scoring System Gold Tier (95%+): Production-ready AI context Silver Tier (85%+): Professional development standard Bronze Tier (70%+): Solid foundation for AI assistance 🔧 MCP Server Configuration Expert setup of claude-faf-mcp with 33 tools: 🔄 Bi-Directional Sync Keep context synchronized across platforms: .faf ↔ CLAUDE.md .faf ↔ .cursorrules .faf ↔ GEMINI.md .faf ↔ AGENTS.md 📊 Mk4 Architecture Framework 33-slot IANA format for comprehensive project context: Project identity and goals Technical stack detection Human context (who/what/why/where/when/how) Architecture patterns Deployment configuration Getting Started Quick Installation Expert Commands Success Metrics Real Performance Data: 52k+ downloads across FAF ecosystem 800+ comprehensive tests (CLI + MCP) IANA-registered format (application/vnd.faf+yaml) 153+ validated formats supported Championship-grade performance (<50ms execution) Platform Compatibility Sup …

How to use it

Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:

@skills sickn33/faf-expert--9ac3af

View the source on GitHub

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