What problem does it solve?
Creating a new Claude skill—or improving an existing one—can be guesswork because you need good triggering language and you must verify that the skill actually performs the intended workflow.
Core Features & Use Cases
- Skill drafting from intent: turns a user’s goal into a complete SKILL.md with a clear trigger-focused description and operational instructions.
- Eval-driven iteration loop: designs test prompts, runs them, and guides qualitative + quantitative review so improvements are measurable.
- Trigger accuracy optimization: optionally optimizes the SKILL.md description to improve “should trigger / should not trigger” behavior using evals.
- Performance benchmarking mindset: supports variance-aware analysis and reruns across iterations until the user is satisfied.
Quick Start
Tell the AI what you want the skill to do and when it should trigger, and ask it to create the initial SKILL.md plus 2–3 test prompts for you to run.