What problem does it solve?
Generic or underdeveloped AI skills often fail to provide actionable guidance, leading to frustration and wasted time. This skill provides a structured, evidence-based process to enhance their quality and utility.
Core Features & Use Cases
- Self-Evaluation Rubric: Rate skills on criteria like decision trees, concrete values, and primary source grounding to pinpoint weaknesses.
- Primary Source Research: Guide the AI to read actual source code and documentation for precise, actionable data, moving beyond summaries.
- Structured Rewriting: Apply best practices for skill structure, including actionable decision trees and documented anti-patterns.
- Dual Validation: Ensure improvements with both
consult-deep AI review and the creation of a validating artifact, proving real-world effectiveness.
Quick Start
Improve the 'consult-light' skill by adding more concrete values and a clearer decision tree for model selection.
