5.5 KiB
5.5 KiB
name, description, category, risk, source, source_repo, source_type, date_added, author, tags, tools
| name | description | category | risk | source | source_repo | source_type | date_added | author | tags | tools | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| faf-expert | Advanced .faf (Foundational AI-context Format) specialist. IANA-registered format, MCP server config, championship scoring, bi-directional sync. | coding | safe | community | Wolfe-Jam/faf-skills | community | 2026-04-07 | wolfejam |
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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
# Achieved: 92% Gold tier with FAF Expert
project:
name: enterprise-payment-api
goal: Mission-critical payment processing system
stack:
backend: java-spring
database: oracle
runtime: java-11
deployment: kubernetes
human_context:
where: AWS EKS production cluster
when: Legacy system from 2018, modernizing 2026
how: Spring Boot 2.7, Oracle 19c, Docker containerization
Example 2: Modern React Dashboard
# Achieved: 97% Gold tier performance
project:
name: analytics-dashboard
goal: Real-time analytics for SaaS platform
stack:
frontend: react-18
css_framework: tailwind
state: zustand
build: vite
testing: vitest
deployment: vercel
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:
{
"mcpServers": {
"faf": {
"command": "npx",
"args": ["-y", "claude-faf-mcp@latest"]
}
}
}
🔄 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
# Install FAF CLI
npm install -g faf-cli
# Initialize your project
faf init
# Score AI-readiness
faf score --details
# Set up MCP server
faf mcp install
Expert Commands
# Advanced scoring with breakdown
faf score --championship --verbose
# Multi-platform sync
faf bi-sync --target all
# Validate format compliance
faf validate --strict
# Enhanced AI optimization
faf enhance --model claude --focus completeness
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
Supported AI Tools
- ✅ Claude Code - Native MCP integration
- ✅ Cursor - .cursorrules sync
- ✅ Gemini CLI - GEMINI.md sync
- ✅ Windsurf - .windsurfrules support
- ✅ Universal - Works with any AI that reads YAML
MCP Servers Available
claude-faf-mcp- 33 tools, 391 testsgrok-faf-mcp- xAI/Grok optimizedrust-faf-mcp- Native performance (4.3MB binary)gemini-faf-mcp- Google Gemini integration
Advanced Patterns
Enterprise Configuration
faf_version: "3.0"
project:
name: enterprise-platform
tier: production
human_context:
team_size: 50+
compliance: SOC2, HIPAA
deployment: multi-region
stack:
architecture: microservices
orchestration: kubernetes
monitoring: datadog
security: vault
Legacy System Revival
# Transform 10-year-old codebase to AI-ready
project:
archaeology: true
modernization_target: 2026
stack:
legacy: php-5.6
migration_path: laravel-11
database_upgrade: mysql-8
Expert Resources
- Documentation: https://faf.one
- MCP Registry: Official Anthropic steward
- CLI Reference:
faf --help - Community: Discord server with 1000+ developers
- Enterprise: Professional support available
When to Use faf-wizard Instead
Use faf-wizard for:
- ✅ Quick project setup
- ✅ One-click generation
- ✅ Beginner-friendly workflow
- ✅ Automated stack detection
Use faf-expert for:
- 🎯 Fine-tuned configuration
- 🎯 Championship scoring optimization
- 🎯 Multi-platform sync management
- 🎯 Enterprise deployment patterns
- 🎯 Advanced MCP server setup
Master the format that makes AI understand your projects. FAF Expert - for when you need championship-grade AI context architecture.