tooluniverse

Provides unified access to 600+ scientific tools, models, and APIs.

564|70|Updated Jan 25, 2026
One-click install
npx skills add https://github.com/ynulihao/AgentSkillOS --skill tooluniverse-ynulihao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tooluniverse
Source: https://github.com/ynulihao/AgentSkillOS/tree/main/data/skill_seeds/tooluniverse
Command: npx skills add https://github.com/ynulihao/AgentSkillOS --skill tooluniverse-ynulihao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill empowers AI agents to act as research scientists by providing unified access to over 600 scientific tools, enabling discovery, execution, and composition of complex research workflows.

Core Features & Use Cases

  • Unified Scientific Resource Access: Integrates over 600 tools, models, datasets, and APIs across bioinformatics, cheminformatics, genomics, and more.
  • Advanced Tool Discovery: Offers semantic search (LLM-based or embedding-based) and keyword search for finding the right tools.
  • Workflow Composition: Enables chaining multiple tools to build complex, multi-step research pipelines for tasks like drug discovery or genomics analysis.
  • Use Case: A researcher needs to identify potential drug targets for a specific disease, predict their protein structures, and then screen compounds against these structures. This Skill can orchestrate these steps seamlessly.

Quick Start

Use the tooluniverse skill to find tools for RNA sequencing differential expression analysis.

Frequently Asked Questions about tooluniverse

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

FAQPage Schema
How do I find scientific tools for bioinformatics and drug discovery using natural language?

You can find scientific tools for bioinformatics and drug discovery using natural language through semantic search. This interface matches your query against over 600 models, datasets, and APIs, enabling rapid tool discovery and workflow composition.

Can I automate multi-step research workflows for genomics and cheminformatics?

Yes, you can automate multi-step research workflows for genomics and cheminformatics. The system supports workflow composition by chaining multiple tools together, allowing you to orchestrate complex pipelines like predicting protein structures and screening compounds.

What is the best way to access structural biology and proteomics APIs for research?

The best way to access structural biology and proteomics APIs is through a unified scientific resource interface. It integrates over 600 tools, models, and datasets into a single standardized protocol, streamlining API execution for research problem-solving.

Does this scientific tool discovery system support RNA sequencing differential expression analysis?

Yes, this scientific tool discovery system supports RNA sequencing differential expression analysis. You can use natural language or keyword search to identify relevant bioinformatics tools within its database of over 600 scientific resources and execute them seamlessly.

How do I execute a standardized protocol for cheminformatics tools?

To execute a standardized protocol for cheminformatics tools, you first discover the required API or model using keyword or semantic search. Once identified, the unified interface processes your inputs through a standardized execution protocol for scientific problem-solving.

Are there limitations to composing multi-step research pipelines for drug discovery?

Limitations of composing multi-step research pipelines for drug discovery depend on the availability of specific integrated tools. While the system orchestrates over 600 scientific tools, workflow success relies on the compatibility of the selected bioinformatics and cheminformatics APIs.