π½ TURBO-CAT: Universal AI context standard. Auto-generate and sync .faf files with Claude, Cursor, and all AI tools. FREE FOREVER.
This plugin is not yet in any themed marketplace. To install it, you'll need to add it from GitHub directly.
Choose your preferred installation method below
A marketplace is a collection of plugins. Every plugin gets an auto-generated marketplace JSON for individual installation, plus inclusion in category and themed collections. Add a marketplace once (step 1), then install any plugin from it (step 2).
One-time setup for access to all plugins
When to use: If you plan to install multiple plugins now or later
Step 1: Add the marketplace (one-time)
/plugin marketplace add https://claudepluginhub.com/marketplaces/all.json
Run this once to access all plugins
Step 2: Install this plugin
/plugin install faf@all
Use this plugin's auto-generated marketplace JSON for individual installation
When to use: If you only want to try this specific plugin
Step 1: Add this plugin's marketplace
/plugin marketplace add https://claudepluginhub.com/marketplaces/plugins/faf.json
Step 2: Install the plugin
/plugin install faf@faf
with Turbo Cat π½ Rapid Catalytic Converter
Project DNA β¨ for Claude Code/ any AI CLI β’ Zero Faff Innitβ’π¬π§
Website β’ GitHub β’ Community β’ npm
AI-Context: Avg. 0-55% kills projects π .faf 85-99% AI totally gets it β¨
# Install via npm (works everywhere)
npm install -g faf-cli
# Or via Homebrew (macOS/Linux)
brew install faf-cli
One line. Zero config. Championship context. π
The biggest release yet:
Google Gemini CLI
"README evolution for AI era"
β 9.5/10 Rating during verified testing
Claude Code (Anthropic)
"Should become the standard"
β 9.5/10 Rating during verified testing
OpenAI Codex CLI
"Every project should have one"
β 9/10 Rating during verified testing
β .faf Inventor
"package.json wasn't built for this, .faf was"
β Claude Code (Anthropic)
"package.json gives me a list of dependencies, .faf shows me how to use them"
β Claude
"It's so logical if it didn't exist, AI would have built it itself"
100% verified. Real AI responses. Not marketing copy.
The Rapid Catalytic Converter - Now Purring at Full Power
Introduced in v2.0.0, TURBO-CAT reaches full championship form in v3.0.0. This format discovery engine knows 153 validated formats organized in a perfect pyramid structure. From .faf
at the apex to infrastructure configs at the base, it rapidly converts raw project formats into AI-ready intelligence at championship speed.
Like a catalytic converter in an exhaust system, TURBO-CAT transforms digital waste into clean, usable output. Now fully unleashed and purring. π½π¨
faf formats
π½ TURBO-CATβ’ v3.0.0 - Now Purring at Full Power
(Introduced v2.0.0, Perfected v3.0.0)
βββββββββββββββββββββββββββββββββββ
β‘οΈ Scanning project...
β
Found 10 formats in 68ms!
π Discovered Formats (A-Z):
β
package.json
β
tsconfig.json
β
Dockerfile
β
.github/workflows
β
jest.config.js
... and 5 more
π‘ Stack Signature: typescript
π Intelligence Score: 225
ββββββββββββββββββββββββββββββββββββββββ
π½ TURBO-CATβ’: "Detection that'll make your stack PURRR!"
ββββββββββββββββββββββββββββββββββββββββ
The Pyramid: 153 formats across 17 levels. Each level unlocks new intelligence. TURBO reveals what TURBO-CAT really knows... π€«
β 41 Championship Commands
β Performance
β Universal Compatibility
# Install via npm (works everywhere)
npm install -g faf-cli
# Or via Homebrew (macOS/Linux)
brew install faf-cli
β Everything in FREE, Plus:
𧬠Deep Format Intelligence
π€ Universal Automation Intelligence
π Premium Features
Learn more: faf.one/turbo
TURBO: Where automation platforms (n8n, Make, Opal) get championship AI context. Foundational first, universal by default.
# Install via npm (works everywhere)
npm install -g faf-cli
# Or via Homebrew (macOS/Linux)
brew install faf-cli
# Initialize in any project
cd your-project
faf init
# Auto-detect and enhance
faf auto
# Check your AI readiness
faf score
# Discover your stack's formats
faf formats
# Sync with CLAUDE.md
faf bi-sync
That's it! Your AI now has perfect context. π
The AI that built FAF scored it at 12% without .faf
.
We created this tool together across thousands of conversations. Yet without project DNA, even Claude couldn't recognize its own work. That's the problem FAF solves.
.faf
- Birth: 12%Context Score: 12% β Even the AI that built it couldn't recognize it
faf init
β One command. Zero configuration. Project DNA created.
.faf
- Current: 89%Context Score: 89% β Instant comprehension. Persistent memory.
+77% improvement in 344ms. That's what project DNA does for ANY AI, ANY project.
.faf
= Project DNA β¨ for AI
Universal, shareable AI context that works with Claude Code, OpenAI Codex CLI, Gemini CLI, Cursor - regardless of your stack, size, or setup.
At 99% context quality, AI knows exactly what you're building and helps at optimal levelsβtrusted decisions, accurate suggestions, championship performance.
At 55% context quality, you're flipping a coin on every decision. It's like handing a builder only half a blueprint and discussing it in a totally foreign language.
FAF's Professional 0β99% Podium Scoring System makes context collection measurable, fun, and championship-grade. Track your project's evolution from π€ Heart (0%) to π Trophy (100%).
This isn't about saving 20 minutes at setup.
Running projects on LOW AI context leads to:
It's not a one-time config. It's a relationship.
A healthy Human + AI collaboration requires high-quality, persistent context. Without it, every interaction is a gamble. Every decision is questionable. Every suggestion needs verification.
Ignoring poor context on your project is like not brushing your child's teeth.
You're gonna end up with a CAVITY.
faf auto # ONE COMMAND TO RULE THEM ALL - Zero to Championship
faf init # Create .faf from your project
faf enhance # Real AI analysis & improvements
faf analyze # Claude-first intelligence
faf formats # 153 formats across 17-level pyramid
faf stacks # Technology stack signatures
faf vibe # Detect development platform
faf dna # Show evolution journey (12% β 89% β 99%)
faf log # Complete evolution history
faf update # Save checkpoint
faf recover # Disaster recovery
faf auth # Birth certificate authentication
faf score # Rate completeness (0-100%)
faf trust # Unified trust dashboard
faf credit # Technical credit dashboard
faf check # Comprehensive validation
faf validate # Structure validation
faf audit # Freshness check
faf chat # Natural language generation (terminal only)
faf quick # One-liner instant context
faf verify # Test with Claude Code, OpenAI Codex CLI, Gemini CLI
faf doctor # Diagnose & fix issues
faf search # Content search with highlighting
faf bi-sync # Bidirectional .faf β CLAUDE.md (8ms!)
faf sync # Dependency updates
faf tsa # Inspect dependencies
faf edit # Interactive editor
faf convert # YAML to Markdown/Text
faf to-txt # Quick text conversion
faf share # Secure sharing with auto-sanitization
faf show # Display stats
faf status # Quick health status
faf version # Show version (with ASCII art!)
faf index # Universal A-Z reference
faf faq # Frequently asked questions
faf welcome # Welcome guide
faf clear # Clear caches & reset state
faf todo # Claude-inspired todo system
faf analytics # Usage analytics & telemetry
faf notifications # Email notifications
faf lint # Fix formatting issues
Run faf --help
for complete command reference
FAF v3.0.3 fully supports Claude Code, Warp, Cursor, Copilot, Windsurf, OpenAI Codex CLI, Gemini CLI and ALL AI coding assistants.
PLUS AI-Automation platforms: n8n, OpenAI Builder, Google Opal, Make.com
faf init # Create .faf file
faf auto # Auto-enhance context
faf enhance # Improve programmatically
faf score # Check readiness
faf bi-sync # Sync .faf β CLAUDE.md
faf formats # Format discovery
faf chat # Requires interactive terminal
faf # Interactive menu (use faf auto instead)
Why? Interactive commands use inquirer
for beautiful CLI menus. These work in regular terminals but AI assistants can't forward keyboard input. This is expected behavior.
Solution: Use faf auto
- it's designed for AI assistants! β‘
Track your project's AI-readiness with F1-inspired tiers:
π Trophy (100%) - Championship - Perfect 50|50 AI|HUMAN balance
π₯ Gold (99%) - Gold standard
π₯ Silver (95-98%) - Excellence
π₯ Bronze (85-94%) - Production ready
π’ Green (70-84%) - Good foundation
π‘ Yellow (55-69%) - Getting there
π΄ Red (0-54%) - Needs attention
π€ Heart 0% - Starting Good Luck!
Live output:
faf score
π₯ Score: 89/100
ββββββββββββββββββββββββ 89%
Status: Bronze - Production Ready
Next milestone: 95% π₯ Silver (6 points to go!)
ποΈ FAF Championship Status
ββββββββββββββββββββββββββββββββββββββ
Initial DNA: 12% (born 2025-10-03)
Growth: +77% over 4 days
Next Milestone: 95% π₯ Silver (6% to go!)
NEW in v3.0.0: Track the perfect balance between AI-readable and human-readable content.
AI 50% | HUMAN 50% β Working toward optimal context
βοΈ PERFECT BALANCE! β When you hit exactly 50|50, the balance bar turns GREEN π signaling championship-level context optimization. This is the sweet spot where AI and human readers both get exactly what they need.
PRD Balance = Production-Ready Balance π
# Quick setup for new project
faf quick "my-app, react, typescript, vercel"
# Auto-detect existing project
faf auto
# Discover your formats
faf formats
# Check score with details
faf score --details
# Bidirectional sync with CLAUDE.md
faf bi-sync
# Track your evolution
faf dna
faf log
# Fix issues
faf doctor
# Optimize scoring
faf enhance
# Quiet mode (for AI assistants)
faf init -q
faf auto -q
Version: 3.0.3 - Championship Edition
Performance: <50ms all commands, 18ms avg, 8ms bi-sync, 0ms operations achieved
Engine: FAF-Engine-Mk3
TURBO-CAT: v3.0.0 - Full Power (Introduced v2.0.0, 153 validated formats)
TypeScript: 100% strict mode
Dependencies: 2 (inquirer, yaml)
Testing: WJTTC GOLD Certified (12,500+ test iterations)
Certification: https://faf.one/wjttc
Platform: Mac, Linux, Windows
AI Support: Universal - Claude Code, OpenAI Codex CLI, Gemini CLI, Cursor, Warp, Copilot, Windsurf, ALL AI coding assistants
Automation: n8n workflows, OpenAI Builder, Google Opal, Make.com - AI-Automation platforms
.faf is pre-indexed intelligence. Do the work once, use it forever.
Aspect | RAG Approach | .faf Approach |
---|---|---|
Indexing | Runtime embedding (slow, $) | One-time at creation (fast, free) |
Retrieval | Vector search per query ($) | Instant file read (free) |
Quality | Probabilistic, incomplete | Structured, validated, scored |
Latency | Seconds (embedding + search) | Milliseconds (<50ms) |
Cost | Per-query fees | Zero runtime cost |
Versioning | Difficult | Git-friendly YAML |
.faf is RAG's outputβcaptured once, reused infinitely. Championship efficiency.
Every source follows the same pattern:
interrogation β extraction β filtering β generation β .faf
In FREE CLI: Code projects β .faf (all languages, frameworks, stacks)
In TURBO: Automation platforms β .faf (n8n, OpenAI Assistants, Opal, Make.com)
Same pattern. Same output. Universal by design.
FAF CLI v3.0.3 is WJTTC GOLD Certified - tested to F1-grade standards.
WolfeJam Technical & Testing Center - F1-inspired testing methodology ensuring championship-grade reliability.
Battle-tested with 12,500+ test iterations across 5 testing tiers:
Performance Validated:
Safety Tested:
Platform Verified:
Keep .faf
(structured data) and CLAUDE.md
(human-readable) in perfect sync automatically.
.faf
β CLAUDE.md
π C-MIRROR LIVE
βββββββββββββββββββββββββ
ββ Syncing β claude-to-faf...
ββ ββββββββββββββββββββββββ 10% - Parsing CLAUDE.md...
ββ ββββββββββββββββββββββββ 40% - Merging updates...
ββ ββββββββββββββββββββββββ 70% - Updating metadata...
ββ ββββββββββββββββββββββββ 90% - Generating YAML...
ββ π Synchronized in 8ms ποΈβ‘οΈ
β
Integrity: PERFECT
π Technical Credit +1
# Clone
git clone https://github.com/Wolfe-Jam/faf-cli.git
cd faf-cli
# Install & Build
npm install
npm run build
# Test
npm test
# Link locally
npm link
We welcome contributions! Join our community discussions or submit issues/PRs.
Join our growing community using .faf
to accelerate their AI workflows:
Position your brand alongside the universal AI context standard.
FAF CLI is defining a new category: Universal AI Context Infrastructure. With BIG-3 AI validation (Google, Anthropic, OpenAI) and adoption by leading AI development tools, FAF is becoming foundational infrastructure for the AI development ecosystem.
Infrastructure Sponsor - Align your brand with foundational AI developer tooling Category Leadership - Be recognized as supporting the universal AI context standard Enterprise Integration - Deep integrations with your platform
Target sponsors: Companies building AI development tools, deployment platforms, terminals, IDEs, and AI infrastructure.
Examples: Vercel, Warp, Anthropic, Cursor, Windsurf, n8n, and other AI-first platforms.
πΌ Enterprise Sponsorship Inquiry - Strategic partnerships for category-defining infrastructure
FAF CLI is FREE FOREVER and open source (MIT). Sponsorship accelerates development, expands integrations, and positions your brand alongside the future of AI development.
James Wolfe (Wolfe-Jam) Creator, .faf Format ORCID: 0009-0007-0801-3841
MIT License - See LICENSE file
Category-defining. Format-first development. Foundational.
AI's biggest issue addressed head-on. Agnostic. Universal.
AI has Claude/tool.md - they need .faf
to be Universal.
AI needed a README, its package.json - it got one.
Copy cats? Why bother.
Build your best, let's RACE π
See you at the Track! ποΈβ‘οΈ
FREE FOR ALL DEVS π β’ Growing Fast π β’ AI-Context, On-Demand.
Made with π§‘ by wolfejam
100% Open Source β’ Zero Faffβ’ β’ F1-Inspired Engineering
The CLI is FREE FOR ALL DEVS.
Love it? TURBO for advanced features, ready for once you've kicked the tires! π½π¨
3.0.1