xddp.fill-rulebook

You can automate project documentation drafting by using a skill that scans your codebase, git logs, and configuration files to extract technical metadata and populate project-rulebook files. It identifies architectural decisions and naming conventions to generate documentation automatically.

Codebase analysis identifies naming conventions by scanning repository structure and git commit history to extract technical metadata. It reads source code and configuration files to detect implemented architectural patterns and populate project-rulebook placeholders with actual coding standards.

Yes, this skill applies to XDDP-compliant software development workflows requiring synchronized documentation across multiple repositories. It requires read access to each repository's codebase and configuration files to extract technical metadata for generating baseline rulebooks.

The best way to onboard a new repository is to run an automated rulebook drafting skill that analyzes the repository structure and architectural history. This instantly generates a baseline project-rulebook reflecting current coding standards and module structure without manual effort.

Yes, read access to the repository codebase and configuration files is required to automate project rulebook generation. The skill needs this access to extract technical metadata, analyze naming conventions, and populate documentation placeholders accurately.

Automated documentation drafting requires analyzing git commit history to capture architectural decisions and historical changes. This context-aware analysis ensures the generated project-rulebook accurately reflects the actual implementation and evolution of coding standards over time.