skill-creator

Automate Claude skill creation by drafting frontmatter and body from user intent, then run trigger evaluations and benchmarks to quantify triggering accuracy, latency, and coverage for iterative improvements.

Iterate skill descriptions by running trigger evaluations and benchmarks, then refining descriptions, scripts, and references based on evaluation results and user feedback to achieve history-aware improvements.

Benchmarking Claude skills works by running trigger evaluations that quantify accuracy, latency, and coverage, ensuring reproducibility and safe, auditable outputs across history-aware improvement cycles.

Yes, you need PyYAML installed to create and test Claude skills, as it is the required dependency for parsing and structuring skill frontmatter during the drafting and iteration process.

Yes, you can bundle optional resources including scripts, references, and assets for on-demand use, ensuring safe and auditable outputs while maintaining reproducibility across skill iterations.

Trigger evaluation results may lack reproducibility if skill descriptions and references are not iterated using history-aware improvements and benchmarking to ensure safe, auditable outputs across evaluation cycles.