Devtu Optimize Skills

This is a meta-skill for improving ToolUniverse research skills themselves. It codifies 15 patterns learned from building scientific research agents: verify tool schemas before calling them, query foundation databases first, grade evidence by strength (mechanistic beats associational), and structure reports with quantified completeness targets. The critical insight is pattern 14: skills that just list API calls score 3-5/10 in usefulness, while skills that include interpretation tables and synthesis frameworks score 7-9/10. Use this when you're writing a new research skill or debugging why an existing one feels like a data dump instead of an analysis. It also covers computational procedures for when APIs don't exist and you need pandas or scipy to fill the gap.

Install to Claude Code

npx -y skills add mims-harvard/tooluniverse --skill devtu-optimize-skills --agent claude-code