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OpenSource-Projects/claude-scientific-skills

Manage scientific research tools with database queries and pipeline orchestration.

Updated May 10, 2026
Search Tags:#workflow automation#tool discovery#cheminformatics#database integration#biotech#scientific tools#research pipelines
One-click install
npx skills add https://github.com/Imad-Oute/ResearchForge --skill opensource-projects-claude-scientific-skills
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: OpenSource-Projects/claude-scientific-skills
Source: https://github.com/Imad-Oute/ResearchForge/tree/main/OpenSource-Projects/claude-scientific-skills
Command: npx skills add https://github.com/Imad-Oute/ResearchForge --skill opensource-projects-claude-scientific-skills

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill offers a curated collection of over 128 AI-driven scientific tools, enabling researchers to automate data analysis, database queries, workflow orchestration, and tool discovery across biology, chemistry, physics, and medical domains.

Core Features & Use Cases

  • Multi-domain tool access: Integrate databases, packages, and APIs such as PubMed, ChEMBL, UniProt, KEGG, and AlphaFold.
  • Workflow automation: Compose complex, multi-step research pipelines for drug discovery, genomics, and structural biology.
  • Tool discovery: Find specialized research tools via semantic search, keywords, or embedding-based methods.
  • Execution and orchestration: Run tools programmatically with standardized interfaces, manage dependencies, and assemble research workflows.
  • Use Case: Automate a drug discovery pipeline by querying target databases, retrieving protein structures, and performing virtual screening seamlessly.

Quick Start

Instantiate ToolUniverse, load available tools, discover resources with semantic search, then execute targeted tasks, such as retrieving gene data or running docking simulations, all through intuitive API calls or code scripts.

Frequently Asked Questions about OpenSource-Projects/claude-scientific-skills

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

FAQPage Schema
How do I automate a drug discovery pipeline using biological databases?▼

Workflow automation for scientific research combines database querying, algorithm execution, and pipeline orchestration across biology, chemistry, physics, and clinical domains. It integrates APIs and datasets to streamline experimental planning and multi-step data analysis.

How do I discover specialized scientific research tools for genomics and structural biology?▼

Tool discovery for scientific research allows you to find specialized resources via semantic search, keywords, or embedding-based methods. You access over 128 AI-driven tools across biology, chemistry, physics, and medical domains through intuitive API calls or code scripts.

Can I integrate external databases like PubMed, KEGG, and AlphaFold into research pipelines?▼

Yes, scientific research workflows support multi-domain tool access by integrating databases, packages, and APIs such as PubMed, ChEMBL, UniProt, KEGG, and AlphaFold. This enables seamless database querying and workflow orchestration across biology, chemistry, physics, and medical domains.

Do I need Python packages and API access to run scientific workflow automation?▼

Yes, scientific workflow automation requires Python packages, API access, and directory configuration for tool repository integration. These prerequisites enable you to manage dependencies, assemble research workflows, and execute targeted tasks programmatically.

What is the best way to orchestrate multi-step research pipelines across different scientific domains?▼

The best way to orchestrate multi-step research pipelines is by using a unified tool repository that combines database querying, algorithm execution, and pipeline orchestration. You instantiate the ToolUniverse, load available tools, and compose complex workflows across biology, chemistry, physics, and clinical research.

What limitations should I consider when managing dependencies for multi-disciplinary research tools?▼

When managing dependencies for multi-disciplinary research tools, consider that proper Python package installation and API access are mandatory. Directory configuration must be correctly established for tool repository integration to ensure seamless execution and orchestration of complex scientific workflows.

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