Skill Sensei

Skill Sensei is a specialized utility designed to maintain high-quality metadata across a Claude Code skill library by automating the 'Ralph loop' improvement pattern. It evaluates skills against strict compliance standards—checking for description length, trigger phrases, anti-triggers, and token usage—to ensure optimal AI discovery and performance. By automating test scaffolding and frontmatter refinement, it helps developers transition skills from low-adherence to high-compliance states, ensuring that every tool in the ecosystem is well-documented, budget-conscious, and correctly invoked.

Key Features

Use Cases