What problem does it solve?
Building effective, reliable AI skills requires structured workflows for drafting, testing, and optimization to ensure they trigger correctly and deliver consistent results, which is tedious and error-prone to manage manually.
Core Features & Use Cases
- End-to-End Skill Creation: Guides you through capturing intent, interviewing for requirements, drafting SKILL.md files, and packaging final skills for distribution.
- Built-In Evaluation & Benchmarking: Runs side-by-side tests of skills against baselines, grades outputs against custom assertions, and aggregates performance metrics with variance analysis to identify improvement areas.
- Description Optimization: Tests skill triggering accuracy against realistic user prompts and iteratively improves the skill's description to reduce missed triggers and false positives.
- Use Case: For example, if you want to build a skill that automates CSV data cleaning, this skill guides you through drafting the workflow, creating test cases, comparing performance with and without the skill, and optimizing the description so it triggers reliably when users mention data cleaning tasks.
Quick Start
Use the skill-creator skill to build a new custom skill that automates extracting key data points from your company's weekly sales CSV files and generates a summary report.
