What problem does it solve?
This Skill provides a structured, end-to-end process to design, implement, evaluate, and iteratively improve Agent Skills. It guides you from capturing user intent and drafting SKILL.md to crafting test prompts, running evaluations, visualizing results, and refining the description until activation reliability is high.
Core Features & Use Cases
- Capture Intent: Infer and clarify user goals from conversation history to bootstrap a new skill.
- SKILL.md Generation: Create a complete Skill entry with name, description, and operational guidelines.
- Test Prompt Fabrication: Produce initial test prompts and an eval set to probe skill behavior.
- Evaluation & Visualization: Run evals, collect metrics, and view results via eval-review tooling and benchmarks.
- Iterative Refinement: Improve skill description and test coverage based on results; repeat until satisfactory.
- Deployment Readiness: Prepare packaging metadata and references/scripts for on-demand use.
Quick Start
Provide your initial skill idea; this tool scaffolds SKILL.md, generates a basic eval set, and starts the iterative loop toward a refined skill.