devtu-optimize-skills

SKILL.md

Best practices for creating high-quality ToolUniverse research skills that produce detailed, evidence-graded reports with proper source attribution.

Problem: Tool APIs change parameter names over time, or skills are written with incorrect parameter assumptions. This causes silent failures - tools return empty results without errors.

Maintain a known corrections table in skills that use many tools:

Optimize ToolUniverse skills for better report quality, evidence handling, and user experience. Apply patterns like tool verification, foundation data layers, disambiguation-first, evidence grading, quantified completeness, and report-only output. Use when reviewing skills, improving existing skills, or creating new ToolUniverse research skills. Source: mims-harvard/tooluniverse.

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