Agent skill

Faf Expert

by majiayu000 in majiayu000/claude-skill-registry

Advanced .faf (Foundational AI-context Format) specialist. An agent skill from majiayu000/claude-skill-registry.

Install Faf Expert

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill faf-expert -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry faf-expert --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ai-llm/faf-expert .claude/skills/faf-expert && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "faf-expert" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/faf-expert into .claude/skills/faf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-expert", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/faf-expert

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill faf-expert -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry faf-expert --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/ai-llm/faf-expert .agents/skills/faf-expert && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "faf-expert" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/faf-expert into .agents/skills/faf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-expert", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill faf-expert -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry faf-expert --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/ai-llm/faf-expert .cursor/skills/faf-expert && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "faf-expert" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/faf-expert into .cursor/skills/faf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-expert", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/majiayu000/claude-skill-registry.git --path skills/ai-llm/faf-expert

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill faf-expert -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry faf-expert --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/ai-llm/faf-expert .gemini/skills/faf-expert && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "faf-expert" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/faf-expert into .gemini/skills/faf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-expert", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry faf-expert

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill faf-expert -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/ai-llm/faf-expert .github/skills/faf-expert && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "faf-expert" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/faf-expert into .github/skills/faf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-expert", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add majiayu000/claude-skill-registry --skill faf-expert -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install majiayu000/claude-skill-registry faf-expert --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/majiayu000/claude-skill-registry.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/ai-llm/faf-expert .opencode/skills/faf-expert && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "faf-expert" agent skill from https://github.com/majiayu000/claude-skill-registry/tree/main/skills/ai-llm/faf-expert into .opencode/skills/faf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "faf-expert", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: faf-expert
GitHub stars: 666
Used in: 3 other repos
Token cost: ~1.5k tokens
SKILL.md length: 416 words
Files: 2
Skills in repo: 1,273
Repo updated: Oct 7, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Advanced .faf (Foundational AI-context Format) specialist. An agent skill from majiayu000/claude-skill-registry.

Tasks that involve MCP servers
SKILL.md covers When to Use This Skill, Real-World Examples, Core Capabilities and Getting Started, plus 6 more sections
Calls npm

What it does

Faf Expert is an agent skill from majiayu000/claude-skill-registry. Advanced .faf (Foundational AI-context Format) specialist. IANA-registered format, MCP server config, championship scoring, bi-directional sync.

Its SKILL.md is about 1.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `metadata.json`).

It sits in Agent Workflows, covering MCP servers. It works with Model Context Protocol. The repository describes itself as: Searchable Claude Code skills catalog with source-linked guides and generated registry artifacts. The licence is MIT.

When your agent uses it

Tasks that involve MCP servers

Example prompts

“/faf-expert”

Requirements

Node.js
Docker

What it can do on your machine

Read from SKILL.md and the folder at commit 2d14a69. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- npm
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
- faf.one
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Faf Expert loads about 1.5k tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 416 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~39
When it runs · the whole SKILL.md, loaded when a task matches: ~1.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from majiayu000/claude-skill-registry at commit 2d14a69, republished under its MIT licence (© majiayu000). 416 words, ~1,487 tokens.

Download SKILL.mdSave it as .claude/skills/faf-expert/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: faf-expert
description: Advanced .faf (Foundational AI-context Format) specialist. IANA-registered format, MCP server config, championship scoring, bi-directional sync.
category: coding
risk: safe
source: community
source_repo: Wolfe-Jam/faf-skills
source_type: community
date_added: 2026-04-07
author: wolfejam
tags: faf, ai-context, project-management, mcp, iana
tools: claude, cursor, gemini, windsurf

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

yaml

# 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

yaml

# 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:

json

{
  "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

bash

# 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

bash

# 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

Show full SKILL.md (176 more words)Show less

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 tests
grok-faf-mcp - xAI/Grok optimized
rust-faf-mcp - Native performance (4.3MB binary)
gemini-faf-mcp - Google Gemini integration

Advanced Patterns

Enterprise Configuration

yaml

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

yaml

# 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.

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.

Files

SKILL.md and 1 other file in skills/ai-llm/faf-expert of majiayu000/claude-skill-registry.

SKILL.md
metadata.json

Open the folder on GitHubat commit 2d14a69

Used in 3 other repositories

We found 9 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in majiayu000/claude-skill-registry, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Faf Expert next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Faf Expert compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Faf Expert this skillmajiayu000/claude-skill-registry	666	3 repos	~1.5k	Automated safety check: Pass	MIT	yesterday
MCP Server Builderanthropics/skills	180k	64 repos	~2.3k	Automated safety check: Pass	Apache-2.0	3 days ago
MCP Server BuildershareAI-lab/learn-claude-code	78k	5 repos	~1.2k	Automated safety check: Pass	MIT	10 days ago
MCP Integration for Pluginsanthropics/claude-plugins-official	38k	11 repos	~3.1k	Automated safety check: Pass	Apache-2.0	yesterday
Fastmcp Client CLIPrefectHQ/fastmcp	28k	1 repos	~823	Automated safety check: Pass	Apache-2.0	yesterday
Crush Configurationcharmbracelet/crush	29k	—	~3.7k	Automated safety check: Pass	Custom licence	yesterday

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Questions about Faf Expert

What does Faf Expert do?

Advanced .faf (Foundational AI-context Format) specialist. An agent skill from majiayu000/claude-skill-registry. Faf Expert is an agent skill from majiayu000/claude-skill-registry.faf (Foundational AI-context Format) specialist.

When should I use Faf Expert?

Faf Expert fits situations like: tasks that involve MCP servers.

How do I install Faf Expert in Claude Code?

Run `npx skills add majiayu000/claude-skill-registry --skill faf-expert -a claude-code`. Or copy the skill folder (skills/ai-llm/faf-expert in majiayu000/claude-skill-registry) into .claude/skills/faf-expert in your project. Claude Code loads it when a task matches its description.

How do I install Faf Expert in Codex?

Run `npx skills add majiayu000/claude-skill-registry --skill faf-expert -a codex`. Or copy the skill folder (skills/ai-llm/faf-expert in majiayu000/claude-skill-registry) into .agents/skills/faf-expert in your project. Codex loads it when a task matches its description.

Can I use Faf Expert in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add majiayu000/claude-skill-registry --skill faf-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/faf-expert, .gemini/skills/faf-expert, .github/skills/faf-expert and .opencode/skills/faf-expert in your project.

What does Faf Expert need to run?

Going by SKILL.md and its folder, Faf Expert needs the command-line tools its instructions call (npm). Our summary lists: Node.js; Docker.

Does Faf Expert access the network?

SKILL.md names 1 domain. As links in the text: faf.one. This is read from the text; nothing was executed.

Is Faf Expert safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Faf Expert use?

Faf Expert is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Faf Expert use?

About 1.5k tokens (SKILL.md is roughly 5.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Faf Expert?

Skills that share tags, products or a category with Faf Expert: MCP Server Builder (anthropics/skills, 180k stars), MCP Server Builder (shareAI-lab/learn-claude-code, 78k stars), MCP Integration for Plugins (anthropics/claude-plugins-official, 38k stars) and Fastmcp Client CLI (PrefectHQ/fastmcp, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Faf Expert?

majiayu000 (a GitHub user) maintains it in majiayu000/claude-skill-registry, which has 666 GitHub stars. The repository holds 1,273 skills in this directory. The repository was last updated on October 7, 2026.

Source: majiayu000/claude-skill-registry on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Faf Expert

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

FAF Expert - Advanced AI Context Architecture

When to Use This Skill

Real-World Examples

Example 1: Legacy Enterprise Java System

Example 2: Modern React Dashboard

Core Capabilities

🏆 Championship Scoring System

🔧 MCP Server Configuration

🔄 Bi-Directional Sync

📊 Mk4 Architecture Framework

Getting Started

Quick Installation

Expert Commands

Success Metrics

Platform Compatibility

Supported AI Tools

MCP Servers Available

Advanced Patterns

Enterprise Configuration

Legacy System Revival

Expert Resources

When to Use faf-wizard Instead

Limitations

Files

Used in 3 other repositories

Compare with similar skills

Similar skills

More from majiayu000/claude-skill-registry

Related

Questions about Faf Expert