skill-creator

Improve AI prompt triggering accuracy by running automated trigger evaluations and holdout testing. This process uses an eval loop and iterative description improvement to maximize the reliability of your prompt workflows.

Create a structured SKILL.md file by using a guided workflow that captures intent and writes testable content. It generates structured frontmatter including name, description, and compatibility alongside an instructional body.

An automated eval loop works for iterative prompt engineering by establishing baselines and metrics to test reliability. It repeatedly runs trigger evaluations and holdout tests to iteratively refine descriptions until reaching a stable state.

Yes, this skill creation workflow requires the pyyaml dependency. It integrates deterministic scripts, references, and assets to support testing, packaging, and documentation for reproducible results.

Yes, you can bundle scripts and reference materials when packaging AI workflows. This skill supports packaging and reference material integration to ensure reproducibility across testing and evaluation environments.