What is a ToolUniverse skill?

It is a specialized capability that enables Claude to perform domain-specific scientific analysis by integrating multiple databases and structured workflows.

How does this generator help AI scientists?

It automates the boilerplate process of creating new tools, allowing researchers to focus on the data logic and scientific parameters rather than the documentation infrastructure.

What is the primary output of this skill?

It generates a comprehensive SKILL.md file that defines triggers, tool parameters, fallback logic, and reporting formats for a new capability.

Can I use this for non-biological domains?

Yes, while the templates are optimized for scientific research, the framework supports any domain requiring multi-phase analysis across various data sources.

Does it include error handling?

Yes, the generated skills include specific sections for Decision Logic and Fallback Strategies to ensure robust performance when APIs fail or data is missing.

ToolUniverse Skill Scaffolder

Name: ToolUniverse Skill Scaffolder
Author: mims-harvard

bymims-harvard

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1,083

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Data Science & ML

Automates the creation of specialized domain-analysis skills for AI scientists within the ToolUniverse ecosystem.

ToolUniverse Skill Scaffolder is a specialized utility designed to streamline the development of domain-specific scientific analysis capabilities. By providing a standardized framework for multi-phase workflows, database integrations, and fallback strategies, it enables researchers and developers to quickly build robust AI-driven analysis tools. This skill is particularly useful for teams looking to expand their scientific toolset by systematically mapping data sources and decision logic into a format that Claude can leverage for complex, multi-step scientific investigations and data synthesis.

Key Features

01Fallback Strategy Framework: Includes built-in patterns for handling API failures or empty data sets.

021,083 GitHub stars

03Database Integration Mapping: Standardizes how multiple scientific databases are queried and cross-referenced.

04Multi-Phase Workflow Design: Facilitates the definition of complex, sequential analysis steps.

05Quality Check Templates: Provides checklists for ensuring scientific validity and data completeness in outputs.

06Automated Skill Scaffolding: Generates structured SKILL.md templates for new scientific domains.

Use Cases

01Developing specialized bioinformatics analysis skills using NCBI and UniProt databases.

02Scaffolding chemical property prediction tools that integrate PubChem and ChemSpider.

03Standardizing scientific reporting structures for multi-agent AI research workflows.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add mims-harvard/tooluniverse create-tooluniverse-skill

For use in Claude.ai and ChatGPT

Download Skill