Claude Skills by Wolfe-Jam

Expert in .faf (Foundational AI-context Format) files for persistent project context. Use when working with .faf files, project DNA, CLAUDE.md bi-sync, faf-cli commands, MCP server configuration, or AI-readiness scoring (0-100%). Updated for v2.8.0 Tool Visibility System.

17 Claude Code skills for AI-context, testing, and MCP development. IANA-registered format (application/vnd.faf+yaml). Create .faf project DNA, score AI-readiness (0-100%), sync with CLAUDE.md, build MCP servers, generate test suites. 36,000+ downloads across npm, PyPI, crates.io.

Generate Technical Architecture documents. Use after PRD to define system components, data flow, technology choices, and integration patterns. Third step in Wolfejam Workflow. Outputs inform project.faf creation.

Context-aware git commits powered by FAF. Reads .faf project DNA to generate meaningful commit messages. Use when committing code changes. Foundation Layer integration ensures commits reflect project goals.

Access FAF documentation, guides, and resources. Answers questions about The Reading Order, IANA registration, Podium scoring, format specification, and best practices. Use when user asks "how does FAF work", "show me docs", "explain The Reading Order", or needs reference information.

Improve project.faf AI-readiness score through guided enhancements. Identifies missing sections, suggests improvements, helps reach next Podium tier (Bronze→Silver→Gold→Trophy). Use when user asks "improve my score", "enhance my FAF", "reach Gold tier", or wants better AI context quality.

Validate both YAML frontmatter formats (SKILL.md for Claude Code) and IANA-registered project.faf formats. Use when user asks "validate my skill", "check YAML format", "is my SKILL.md correct", or needs to verify format compliance for either Claude Code skills or project.faf files.

Basic Git practices for project.faf files - committing, sharing, and .gitignore patterns. NOT a full GitHub guide. Use when user asks "should I commit project.faf", "add to Git", "share on GitHub", or needs basic version control for FAF files.

Guided interview to Gold Code (100% AI-Readiness). Use when helping users improve their .faf file through questions. Leverages Claude Code's AskUserQuestion for seamless integration. Just type /faf-go and answer questions till done.

Migrate old project.faf formats to current IANA-registered version (3.0.0+). Upgrades from legacy formats, adds required fields, preserves existing content. Use when user has old FAF file, sees format version warnings, or wants latest specification compliance.

Understand where FAF works - Claude Code (CLI + Skills), claude-faf-mcp (Desktop + MCP), vs claude.ai (web - file upload only). Explains faf-cli vs MCP differences, when to use each platform. Use when user asks "does FAF work with", "CLI vs MCP", "Claude Desktop vs claude.ai", or platform compatibility questions.

Calculate AI-readiness score (0-100%) for any project with project.faf file. Shows Podium tier (Trophy/Gold/Silver/Bronze), identifies strengths and gaps, provides improvement roadmap. Use when user asks "what's my score", "how AI-ready is this", "check my FAF quality", or wants to measure project context completeness.

Keep project.faf and CLAUDE.md in bidirectional sync using Context-Mirroring technology (8ms bi-sync). Maintains consistency between project DNA (project.faf) and workflow instructions (CLAUDE.md). Use when user asks "sync my files", "keep FAF updated", "mirror to CLAUDE.md", or after making changes to either file.

Explain what FAF is, why it matters, and how it works when user asks about FAF, project context, AI-readiness, The Reading Order, or persistent context. Use when user says "what is FAF", "explain project.faf", "why do I need this", "how does AI context work", or shows confusion about persistent context. Teaches foundational concepts before recommending specific actions.

Validate project.faf format compliance with IANA-registered application/vnd.faf+yaml specification. Checks YAML syntax, required fields, format version, and best practices. Use when user asks "validate my FAF", "check format", "is my project.faf correct", or before publishing/sharing.

Done-for-you .faf generator. Creates AI-context DNA for ANY project — new, legacy, famous, or forgotten. Detects stack, mines existing context, generates project.faf, scores AI-readiness. Use when onboarding AI to any codebase. Works with Claude, Cursor, Gemini CLI, WARP, Windsurf. See also faf-expert for the mechanic's manual.

Create terminal GIF recordings using VHS (Charmbracelet). Use this skill when creating demos, tutorials, or showcases of CLI tools. Produces reproducible, styled terminal recordings from .tape script files.

Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services through well-designed tools. Use when building MCP servers to integrate external APIs or services, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).

Build workflow automations and API integrations with n8n. Use when creating no-code/low-code pipelines, connecting APIs, setting up webhooks, or implementing automation patterns.

Fix broken workflow automations and debug n8n issues. Use when troubleshooting workflow errors, failed executions, expression bugs, credential problems, or slow automations.

Create context-aware pull requests powered by FAF. Reads .faf project DNA to generate meaningful PR descriptions. Use when creating PRs. Foundation Layer integration ensures PRs reflect project goals.

Generate Product Requirements Documents (PRD). Use after system requirements to define user stories, features, success metrics, and product scope. Second step in Wolfejam Workflow.

Championship-grade repository maintenance. Audits for test artifacts, dependency issues, CI/CD health, documentation sync, and FAF alignment. Generates prioritized cleanup plans. Use when repos need deep cleaning or ongoing maintenance.

Context-aware code reviews powered by FAF. Reads .faf project DNA to provide meaningful review feedback. Use when reviewing PRs or code changes. Foundation Layer integration ensures reviews align with project standards.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Generate System Requirements documents. Use when starting a new project or feature to define functional and non-functional requirements before PRD, architecture, or coding begins. First step in Wolfejam Workflow.

Auto-generate WJTTC (Championship-Grade) test suites for any project. This skill analyzes codebases, identifies critical test tiers (Brake/Engine/Aero), creates comprehensive test plans, and generates executable test files. Use when starting testing on a new project, creating test documentation, or building regression test suites.

Automated test suite generator and QA expert. Creates test plans, writes test files, finds bugs, and generates detailed reports. Use when testing any project, building regression suites, or running QA audits. Supports any language and framework.