Make a codebase agent-ready by scaffolding AGENTS.md, ARCHITECTURE.md, and docs/ structure. Analyzes codebase structure, generates documentation artifacts following progressive disclosure patterns, and audits existing artifacts for staleness and coherence. Use when improving a codebase for AI agent work.
Review pending drift warnings and fix affected documentation or dismiss false positives
Full-codebase documentation drift scan — find every doc that references code reality incorrectly
Configure doc-sentinel drift detection for a project — detect docs root, watched files, and ignore patterns
This skill should be used to run an Agent-Ready Codebase Assessment — scoring a codebase across 8 dimensions with parallel agents, producing a weighted score (0-100), band rating, and improvement roadmap. Supports Ruby, Python, PHP, TypeScript, JavaScript, Go, Java, Scala, and Rust.
Audit codebase documentation for accuracy, completeness, and freshness. Compares docs against actual code structure, auto-fixes small discrepancies, reports structural changes. Works with any language/framework. Companion to agent-ready.
Use this skill when planning and designing gridfinity baseplates for 3D printing. This includes calculating optimal grid sizes from given measurements, determining how to slice large grids into printable chunks based on printer bed dimensions, and calculating padding requirements for non-exact fits. The skill handles both metric and imperial measurements and provides guidance for using gridfinity.perplexinglabs.com to generate the actual STL files.
This skill should be used when creating Git commits to ensure they follow the Conventional Commits specification. It provides guidance on commit message structure, types, scopes, and best practices for writing clear, consistent, and automated-friendly commit messages. Use when committing code changes or reviewing commit history.