wolfe-jam

Generates context-aware git commit messages using FAF, enhancing clarity and alignment with project goals.

Enables expert management of .faf files for persistent AI project context, enhancing AI-readiness and project documentation.

Generates AI-context DNA for any project, enhancing AI readiness and onboarding for codebases with a scored .faf file.

Provides context-aware code reviews using FAF, ensuring alignment with project standards and improving feedback quality.

Generates championship-grade test suites for projects, ensuring comprehensive coverage and high code quality through structured testing methodologies.

Generates comprehensive Technical Architecture documents to translate product requirements into system design and technology choices.

Validates YAML formats for Claude Code skills and IANA-registered project.faf files, ensuring format compliance and integrity.

Facilitates the migration of old project.faf formats to the latest IANA-registered version, ensuring compliance and data preservation.

Maintains bidirectional sync between project.faf and CLAUDE.md, ensuring consistency in project DNA and workflow instructions.

FAF Teacher explains the Foundational AI-context Format, enhancing AI readiness and project understanding for developers.

Validates project.faf files against IANA specifications, ensuring compliance and catching errors before publishing.

Creates professional terminal GIF recordings for demos and tutorials using VHS, capturing real command outputs in styled formats.

Helps troubleshoot and fix workflow automations in n8n, addressing errors, credential issues, and performance problems.

Generates context-aware pull requests using FAF, enhancing PR descriptions to align with project goals and improve collaboration.

Enhances repository maintenance by auditing critical areas and generating prioritized cleanup plans for optimal codebase health.

Generates comprehensive System Requirements documents to define functional and non-functional requirements for projects.

Guides users to enhance their project.faf AI-readiness score through actionable improvements and structured guidance.

Guides users on basic Git practices for project.faf files, including committing, sharing, and .gitignore patterns.

FAF Go guides users through improving their .faf files with AI-driven questions, ensuring optimal project readiness.

Calculates AI-readiness score for projects, identifying strengths and gaps while providing a roadmap for improvement.