wolfe-jam/faf-cli/faf-expert
Claude Code and agent skill by wolfe-jam/faf-cli
- community
Checking that the SKILL.md file is still in the repository.
Expert in the .faf format (Persistent Project Context for AI) and the faf-cli toolkit. Use when working with .faf files, scoring AI-readiness, syncing project context to CLAUDE.md, or discussing the Foundational Context Layer (FCL) doctrine. IANA-registered (application/vnd.faf+yaml). Anthropic-listed as "Persistent Project Context Server" (PR #2759, merged Oct 17 2025). Current CLI: v6.6.0 — The Trophy Edition.
Install
npx vskill@latest install wolfe-jam/faf-cli/faf-expertSKILL.md
FAF Expert — Persistent Project Context Specialist
What is .faf?
The .faf file is Persistent Project Context for AI — a single source of truth that survives across sessions, tools, and AI assistants.
- IANA-registered media type:
application/vnd.faf+yaml(registered Oct 30, 2025) - Anthropic-listed: modelcontextprotocol/servers PR #2759 — claude-faf-mcp shipped as "Persistent Project Context Server" (merged Oct 17, 2025)
- Git-native:
project.fafversions with your code; every clone gets full AI context - The CLI behind the FCL — the Foundational Context Layer for AI
The credo: FAF defines. AGENTS.md instructs. AI codes.
When to activate this skill
- Creating, editing, or scoring
.faffiles - Syncing
.faf→CLAUDE.md, or exporting it toAGENTS.md,.cursorrules,GEMINI.md - Diagnosing sub-Trophy scores and reaching 🏆 100%
- Explaining the FCL, tier system, or app-type ladder
- Connecting
.fafwork to the broader receipts: IANA, Anthropic PR #2759, MCP Registry
Install the CLI
faf is the verb across every surface: bunx faf, npx faf, /faf (Claude Code plugin), faf (global). Bare faf shows your project's score; faf auto detects and fills.
The workflow
| Command | What it does | |
|---|---|---|
faf init | Create a project.faf scaffold for your project | |
faf auto | Auto-detect stack, fill what's detectable, score | |
faf go | Guided interview to fill the remaining slots → Trophy | |
faf score | Check current AI-readiness (0–100%) | |
faf sync | Write CLAUDE.md from .faf (one way) | |
faf compile | .faf → .fafb binary (sealed, portable, deterministic) | |
faf check | Validate .faf structure | |
faf info | Version + system info |
Run faf --help for the full 26-command set.
Scoring — Trophy 100% all-or-nothing
From v6.6.0 onward, faf-cli recommends only 🏆 Trophy.
| Tier | Score | Status | |
|---|---|---|---|
| 🏆 Trophy | 100% | AI never has to guess | |
| ★ Gold | 99%+ | 1 slot from Trophy | |
| ◆ Silver | 95%+ | Close — keep going | |
| ◇ Bronze | 85%+ | Interim — keep going | |
| ● Green | 70%+ | Interim — keep going | |
| ● Yellow | 55%+ | AI flipping coins | |
| ○ Red | <55% | AI working blind | |
| ♡ White | 0% | No context at all |
Why all-or-nothing? Architectural, not aspirational:
100% on Layer 1 makes Layers 2–4 work. Sub-100% degrades every layer above — instructions miss context, agents guess, AI optimisation can't happen.
🏆 is the only emoji. Sub-Trophy tiers use geometric Unicode (★ ◆ ◇ ● ○ ♡). The retired medal ladder (🥇🥈🥉🟢🟡🔴🤍) is history.
The app-types
The app-type answers one question: what does this repo ship? It sets which of the 33 slots count; the rest are slotignored. App-types are types of projects, not types of file (a CLAUDE.md or a SKILL.md sits inside a project of some type).
The full table, with each type's slots, is in docs/SCORING.md. Write the type's own name (cli, not cli-tool); a name faf doesn't know is treated as library.
About (not an app_type): declare about.represents: owner/repo. Inherits about.source_score. Do not set app_type: about.
The CLI auto-detects via # found: rationale next to type::
Read the rationale; refute by inspection. Glass Hood doctrine — the CLI shows its work.
.faf file structure (current schema)
v6.6.0 uses Mk4 canonical slot names in user-facing docs: db (was database), framework (was frontend), css (was css_framework), state (was state_management), api (was api_type), pkg_manager (was package_manager). 36k+ existing .faf files continue scoring correctly via read-time aliasing.
The sync flow — one way
.faf is the canonical Foundational Context Layer (FCL). CLAUDE.md / AGENTS.md / .cursorrules / GEMINI.md are downstream prose renders that READ .faf to save AI time. They never write back automatically.
faf sync --direction pull (CLAUDE.md → .faf backfill of name, goal and language) is Trophy-gated — blocked below 100% to prevent overwriting canonical slots with prose drift.
Receipts ladder
- IANA-registered:
application/vnd.faf+yamlat iana.org/assignments/media-types/application/vnd.faf+yaml — registered 2025-10-30 - Anthropic-listed: PR #2759 merged Oct 17, 2025 — claude-faf-mcp added as "Persistent Project Context Server"
- MCP Registry: FAF Ecosystem #2759 (Five Fingers: claude / faf / grok / gemini / WJTTC)
- One dev, <12 months — IANA-registered, Anthropic-listed, xAI ZEPH commission, 100+ FAF-disciplined repos, the format used to build itself
Where to go next
| You want to... | Go here | |
|---|---|---|
| Install + start using the CLI | github.com/Wolfe-Jam/faf-cli | |
| Read the v6.6 release | CHANGELOG — The Trophy Edition | |
| Understand the FCL / Trophy doctrine | docs/SCORING.md | |
| Set up sync | docs/SYNC.md | |
| Visit the format home | faf.one | |
| Pin context to AI tools | Run faf export — authors AGENTS.md, .cursorrules, GEMINI.md from your .faf |
FAF defines. AGENTS.md instructs. AI codes. v6.6.0 — The Trophy Edition. How no-score became a score.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/faf-expert/SKILL.md
Popularity
- Repository stars
- 32
- Repository forks
- 5
- 7-day trend score
- 17
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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