tooluniverse

Discover and evaluate scientific tools across databases with multi-hop workflows.

1.6k|244|Updated Mar 3, 2025

Search Tags:#research #data-integration #tool-discovery #report-generation #multi-hop #evidence-grading

Ready to run

npx skills add https://github.com/mims-harvard/ToolUniverse --skill tooluniverse-mims-harvard

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tooluniverse
Source: https://github.com/mims-harvard/ToolUniverse/tree/main/skills/tooluniverse
Command: npx skills add https://github.com/mims-harvard/ToolUniverse --skill tooluniverse-mims-harvard

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

ToolUniverse provides a structured framework and best practices to efficiently discover, evaluate, and synthesize insights from thousands of tools across diverse scientific domains.

Core Features & Use Cases

Comprehensive tool discovery: guidance on locating relevant tools across databases and platforms.
Multi-hop workflows: strategies to chain 3-5 tool calls for complex answers.
Evidence-grade reporting: templates and standards for sourcing, citing, and grading evidence.
Report generation: workflows to synthesize results into consumable reports for stakeholders.
Use Case: A researcher wants to explore multiple databases for a disease target and generate a structured landscape report.

Quick Start

Initiate with a broad research goal such as "Explore tools to investigate EGFR in cancer," then follow the recommended discovery and multi-hop steps to build a complete evidence-backed profile.

Frequently Asked Questions about tooluniverse

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

What is multi-hop tool discovery for scientific research?▼

Multi-hop tool discovery is a research process that chains 3 to 5 tool calls across diverse scientific databases to answer complex questions. It enables cross-database querying and multi-hop workflows to synthesize comprehensive evidence-backed profiles.

How do I generate evidence-grade reports from cross-database queries?▼

To generate evidence-grade reports from cross-database queries, you follow a structured process of tool discovery, disambiguation, and evidence grading. This synthesizes results into consumable reports with sources and cross-database validation for stakeholders.

Can I use ToolUniverse to explore disease targets across biology and chemistry databases?▼

Yes, you can use ToolUniverse to explore disease targets across biology, chemistry, and data science databases. It guides broad scientific exploration to locate relevant tools and generate structured landscape reports for targets like EGFR in cancer.

What is the best way to find relevant tools across thousands of scientific databases?▼

The best way to find relevant tools is to initiate with a broad research goal and follow structured discovery steps. This framework provides best practices to efficiently discover, evaluate, and synthesize insights from thousands of tools across diverse domains.

Does ToolUniverse support cross-database validation and evidence grading?▼

Yes, ToolUniverse supports cross-database validation and evidence grading. It enforces a structured process that includes tool disambiguation and evidence grading to ensure comprehensive reporting with properly sourced and cited insights.

When do I need a structured framework for tool discovery and report generation?▼

You need a structured framework for tool discovery and report generation when conducting broad scientific exploration across multiple databases. It is essential for research tasks requiring multi-hop workflows, evidence grading, and comprehensive stakeholder reporting.