skill-create

Extract coding patterns from git history by analyzing commit data to identify recurring conventions, file co-changes, and architecture signals. The skill parses this repository data and emits a structured SKILL.md file codifying discovered team practices for onboarding.

Generating onboarding documentation from repository commits involves detecting architectural signals and file co-changes in git history. This approach retroactively captures mature project practices and outputs structured SKILL.md templates for knowledge transfer.

Pattern detection applies to any software project where commit history reveals conventions and file co-changes. It requires sufficient git history depth to accurately infer coding standards and architectural signals for codification.

Codify team practices into a SKILL.md file by running the analysis to parse git data and detect patterns. The process automatically generates the required structured frontmatter and body content based on inferred coding standards.

Avoid git history analysis for knowledge transfer when commit messages lack descriptive context or repositories have shallow histories. Sparse commit data limits accurate pattern detection and diminishes the quality of generated team practices.