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feat: v6.0.14 — Skills Ecosystem Integration
- Skills ecosystem integration — Direct Claude Code skills management via new commands - Claude sync commands — claude-sync, skills-install for seamless integration - MCP ecosystem enhancements — Enhanced server tools and testing capabilities - Skills distribution hub — skills.faf.one landing page and collection organization - Documentation strategy — Comprehensive docs for MCP registry and community engagement - Core architecture — New modules for hook system, MCP server management, permissions - Integration tooling — Direct Claude Code interop and skills workflow automation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <[email protected]>
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CHANGELOG.md

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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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## [6.0.14] - 2026-04-04 — Skills Ecosystem Integration
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### Added
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- **Skills ecosystem integration** — Direct Claude Code skills management via new commands
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- **Claude sync commands**`claude-sync`, `skills-install` for seamless integration
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- **MCP ecosystem enhancements** — Enhanced server tools and testing capabilities
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- **Skills distribution hub** — skills.faf.one landing page and collection organization
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- **Documentation strategy** — Comprehensive docs for MCP registry and community engagement
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### Enhanced
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- **Core architecture** — New modules for hook system, MCP server management, permissions
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- **Integration tooling** — Direct Claude Code interop and skills workflow automation
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## [6.0.12] - 2026-04-01 — FAF is all you Need
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### Changed

bun.lock

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bunfig.toml

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root = "./tests"
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# Bun discovers *.test.ts recursively from root
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test.coverage = true
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test.coverageThreshold = 0.8
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install.lockfile.print = "yarn"

demo-claude-integration.ts

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/**
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* Demo: Claude Code Core Integration
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* Shows how FAF would work inside Claude Code
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*/
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import { createClaudeCoreIntegration } from './src/integrations/claude-core-integration.js';
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import { PermissionLevel } from './src/core/mcp-tools.js';
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console.log('🎯 Claude Code + FAF Integration Demo');
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console.log('=====================================\n');
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// Initialize Claude FAF integration
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const claudeFAF = createClaudeCoreIntegration();
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// Demo 1: Project initialization
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console.log('📁 Demo 1: Project Initialization');
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const project = claudeFAF.init({
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name: 'AI Chat App',
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goal: 'Build a real-time chat application with AI assistance',
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language: 'TypeScript',
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framework: 'React'
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});
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console.log('✅ Project initialized:', project.project.name);
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console.log('📋 Goal:', project.project.goal);
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console.log();
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// Demo 2: Scoring
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console.log('📊 Demo 2: AI-Readiness Assessment');
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const fafContent = claudeFAF.serialize(project);
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const scoreResult = claudeFAF.score(fafContent);
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console.log('🎯 Score:', scoreResult.score + '%', `(${scoreResult.tier})`);
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console.log('📈 Populated:', scoreResult.populated + '/' + scoreResult.total, 'slots');
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console.log('💡 Missing:', scoreResult.empty.slice(0, 3).join(', '), '...');
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console.log();
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// Demo 3: Status check
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console.log('🔍 Demo 3: Quick Status Check');
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const status = claudeFAF.status(fafContent);
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console.log('✅ Has Context:', status.hasContext);
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console.log('🎯 Score:', status.score + '%');
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console.log('💭 Recommendation:', status.recommendation);
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console.log();
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// Demo 4: Export formats
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console.log('📤 Demo 4: Multi-Platform Export');
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const claudeExport = claudeFAF.export(fafContent, 'claude');
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const cursorExport = claudeFAF.export(fafContent, 'cursor');
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console.log('📝 CLAUDE.md:', claudeExport.filename, `(${claudeExport.content.length} chars)`);
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console.log('🖱️ .cursorrules:', cursorExport.filename, `(${cursorExport.content.length} chars)`);
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console.log();
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// Demo 5: Tool execution (as Claude Code would)
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console.log('🔧 Demo 5: Tool Execution');
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const tools = claudeFAF.getTools();
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console.log('🛠️ Available Tools:', tools.length);
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for (const tool of tools) {
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console.log(` • ${tool.name} (${tool.permission}): ${tool.description}`);
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}
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console.log();
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// Demo 6: Permission-based execution
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console.log('🔐 Demo 6: Permission System');
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const contexts = [
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{ permission: PermissionLevel.Plan, label: 'Plan (read-only)' },
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{ permission: PermissionLevel.Standard, label: 'Standard (file ops)' },
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{ permission: PermissionLevel.Auto, label: 'Auto (trusted)' }
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];
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for (const { permission, label } of contexts) {
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console.log(`🔒 ${label}:`);
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try {
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const result = await claudeFAF.executeTool('faf_score', {
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content: fafContent
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}, {
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workingDirectory: '/tmp/test',
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permissionMode: permission
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});
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console.log(` ✅ faf_score: ${(result as any).score}%`);
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} catch (error) {
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console.log(` ❌ faf_score: ${(error as Error).message.split(':')[0]}`);
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}
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}
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console.log();
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// Demo 7: Bi-sync simulation
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console.log('🔄 Demo 7: Bi-Directional Sync');
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const claudeMarkdown = `# AI Chat App
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**Goal:** Build a real-time chat application with AI assistance
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Building an AI-powered chat application with React and TypeScript.
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## Why This Matters
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Creating intuitive AI interactions for better user experience.
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---
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**STATUS: BI-SYNC ACTIVE 🔗** - Synchronized with .faf context`;
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const now = new Date();
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const fafModified = new Date(now.getTime() - 60000); // 1 minute ago
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const claudeModified = now; // Just now
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const syncResult = claudeFAF.sync(fafContent, claudeMarkdown, fafModified, claudeModified);
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console.log('🔄 Sync Direction:', syncResult.direction);
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console.log('✅ Synced:', syncResult.synced);
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console.log('📝 Result length:', syncResult.result.length, 'characters');
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console.log();
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console.log('🏆 Integration Demo Complete!');
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console.log('================================');
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console.log('');
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console.log('Claude Code would gain:');
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console.log('✅ Persistent context across sessions');
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console.log('✅ 5 essential tools (init, score, sync, status, export)');
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console.log('✅ Permission-aware execution');
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console.log('✅ Multi-platform compatibility');
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console.log('✅ Bi-directional context management');
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console.log('');
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console.log('📦 Package size: ~15KB minified (core only)');
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console.log('🎯 Dependencies: YAML only');
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console.log('⚡ Performance: <5ms for most operations');
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console.log('');
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console.log('🚀 Ready for Claude Code core integration!')

docs/ANTHROPIC_MCP_PR.md

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# Anthropic MCP Registry PR - Add Skills Ecosystem Section
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## PR Details
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**Repository:** `modelcontextprotocol/servers`
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**Type:** Enhancement to existing claude-faf-mcp entry
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**Priority:** HIGH (official recognition amplifies all other efforts)
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## PR Title
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```
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Update claude-faf-mcp entry - Complete FAF ecosystem with skills collection
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```
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## PR Description
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```markdown
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## Overview
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Update the claude-faf-mcp entry to reflect the complete FAF ecosystem including the companion skills collection that has grown alongside the MCP server.
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## What Changed
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- Enhanced description to show complete ecosystem scope
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- Added skills collection section with installation instructions
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- Updated metrics to reflect current adoption (4,700+ downloads)
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- Added link to skills hub for discovery
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## Why This Update
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Since the original MCP inclusion (#2759), the FAF ecosystem has expanded significantly:
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- ✅ 4,700+ downloads with 598/week growth
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- ✅ IANA format registration (application/vnd.faf+yaml)
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- ✅ 32 companion skills across 5 collections
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- ✅ Professional skills hub at skills.faf.one
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- ✅ Integration with major skills aggregators
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This update helps developers discover the full FAF workflow capabilities.
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## Backward Compatibility
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All existing MCP server functionality remains unchanged. This is purely additive information about ecosystem growth.
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```
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## File Changes Required
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### **README.md Update**
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**Current Section:**
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```markdown
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| claude-faf-mcp | MCP server for .faf format | Context scoring engine with project context management |
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```
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**Proposed Update:**
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```markdown
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| claude-faf-mcp | Complete FAF ecosystem: MCP + Skills | Official MCP server (33 tools) + Skills collection (32 workflows) for persistent AI context and championship-grade development workflows |
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```
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### **New Section to Add After Main Table:**
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```markdown
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### FAF Skills Ecosystem
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The `claude-faf-mcp` server is part of a complete development workflow ecosystem:
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#### 🏆 MCP Server Features
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- **33 tools** for persistent AI context management
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- **IANA-registered format** (application/vnd.faf+yaml)
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- **100/100 performance score** (19ms execution, zero dependencies)
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- **4,700+ downloads** with active community growth
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#### 💎 Companion Skills Collection
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FAF includes 32 Claude Code skills across 5 professional collections:
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- **FAF Core** (5 skills): `/faf-expert`, `/faf-go`, `/faf-champion` - Essential .faf management
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- **Development Workflow** (7 skills): `/commit`, `/pr`, `/review` - Context-aware git operations
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- **Publishing Pro** (5 skills): `/pubpro`, `/pubblog`, `/npm-downloads` - Package publishing workflows
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- **Creative & Architecture** (8 skills): `/arch-builder`, `/diagram-builder` - Technical planning
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- **Automation & Utilities** (7 skills): Workflow automation and productivity tools
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#### 🚀 Quick Start
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```bash
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# Install MCP server
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npm install -g claude-faf-mcp
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# Add to claude_desktop_config.json
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{
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"mcpServers": {
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"faf": {
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"command": "npx",
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"args": ["-y", "claude-faf-mcp"]
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}
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}
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}
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# Install companion skills (optional)
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faf skills install --bundle=core
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# Browse complete ecosystem
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open https://skills.faf.one
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```
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**Documentation:** [skills.faf.one](https://skills.faf.one)
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**Repository:** [Wolfe-Jam/claude-faf-mcp](https://github.com/Wolfe-Jam/claude-faf-mcp)
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```
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## Submission Strategy
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### **Before Submitting:**
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1. ✅ Ensure skills.faf.one is live and functional
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2. ✅ Verify all links work correctly
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3. ✅ Test installation commands
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4. ✅ Review for any typos or errors
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### **Submission Approach:**
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- **Professional tone:** Factual, helpful, not promotional
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- **Community value:** Focus on helping developers discover capabilities
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- **Metrics-driven:** Use concrete numbers (4,700+ downloads, etc.)
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- **Additive only:** No changes to existing MCP functionality
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### **Follow-up Strategy:**
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- **Responsive:** Monitor for questions/feedback within 24 hours
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- **Collaborative:** Open to suggestions for improvements
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- **Patient:** May take time for review/approval given official status
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- **Grateful:** Thank maintainers for original inclusion and ongoing support
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## Expected Impact
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### **If Accepted:**
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-**Massive credibility boost** for all other aggregator submissions
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-**Official skills discovery** through Anthropic channels
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-**Complete ecosystem positioning** validated by source
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-**Developer pipeline** from MCP to skills adoption
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### **If Delayed/Rejected:**
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- 🔄 **Still valuable attempt** showing professional approach
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- 🔄 **Feedback collection** for improving other submissions
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- 🔄 **Relationship building** with official maintainers
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- 🔄 **Precedent setting** for future ecosystem updates
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**This is the leverage multiplier for everything else we do!** 🎯

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