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Devtu Optimize Skills

mims-harvard/tooluniverse

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.

skills.sh installs
393
GitHub stars
1.8K
last updated
Aug 21, 2026
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Install

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

Installs into .claude/skills of the current project.

Files

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.

Browse the repository on GitHub

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Details

Repository
github.com/mims-harvard/tooluniverse
Categories
Code Review & Quality, Data Science & ML
First seen
Jun 3, 2026

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