What problem does it solve?
Frontmatter quality is essential for reliable skill routing; many skills ship with short, non-specific descriptions and missing triggers that cause misrouting. Sensei audits SKILL.md and iteratively improves frontmatter using a Ralph loop to reduce collisions.
Core Features & Use Cases
- Iterative frontmatter improvement: read, score, scaffold tests, improve frontmatter, verify, and repeat until Medium-High.
- Supports explicit triggers (WHEN:, USE FOR:), anti-triggers (DO NOT USE FOR:), and routing cues (INVOKES:, FOR SINGLE OPERATIONS:).
- Token-budget aware; keeps SKILL.md lean; scaffolds test frameworks when needed; documents MCP integration points.
- Suitable for teams shipping multiple skills with overlapping domains.
Quick Start
Run Sensei on your skill to start the Ralph loop and iteratively improve its frontmatter.