spboyer/sensei

Skill for iteratively improving SKILL.md frontmatter compliance using the Ralph loop pattern

45
/ 100
Emerging

This tool helps AI engineers and prompt engineers refine the descriptive 'frontmatter' for their custom AI agent skills. It takes your existing skill definitions, analyzes them for common issues like missing triggers or brief descriptions, and then iteratively improves the frontmatter so that your AI agents activate the correct skills more reliably. The output is a more robust skill definition that leads to fewer 'skill collisions' and more precise agent behavior.

Use this if you manage or develop AI agents and frequently encounter issues where your agents struggle to choose the right skill for a given user prompt.

Not ideal if you are looking for a tool to develop the core logic or functionality of an AI skill itself, rather than optimizing its descriptive metadata.

AI Agent Development Prompt Engineering Skill Optimization Agent Orchestration LLM Fine-tuning
No Package No Dependents
Maintenance 13 / 25
Adoption 7 / 25
Maturity 11 / 25
Community 14 / 25

How are scores calculated?

Stars

29

Forks

5

Language

TypeScript

License

MIT

Last pushed

Mar 25, 2026

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/ai-coding/spboyer/sensei"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.