InternScience

An open, curated collection of Agent Skills for scientific research — clone it, use it, extend it!

182
5
100% credibility
Found Mar 09, 2026 at 94 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

A curated, open collection of links to specialized tools for AI assistants in scientific research, organized by categories like bioinformatics, data analysis, and literature search.

How It Works

1
🔍 Discover the science toolkit

While searching for helpers to speed up your research, you stumble upon this handy collection of science-focused tools for your AI assistant.

2
📖 Browse easy categories

You look through friendly sections like biology, data crunching, and writing to see what's perfect for your work.

3
Spot your perfect matches

Your eyes light up as you find exact tools for tasks like analyzing genes or searching papers that save you hours.

4
📥 Gather your favorites

You visit the recommended spots and grab the tool folders you need, just like picking books from a shelf.

5
🗂️ Add to your assistant's kit

You drop them into the special folder where your AI helper keeps its tricks, and everything slots right in.

6
🚀 Watch your helper shine

Now your AI assistant tackles tough science jobs like a pro, from plotting data to drafting reports.

🎉 Research supercharged

You finish experiments and papers faster, feeling like you have a genius lab partner always ready to help.

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Star Growth

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AI-Generated Review

What is Awesome-Scientific-Skills?

This repo delivers a curated collection of agent skills tailored for scientific research, pulling from official registries like Anthropic and OpenAI, plus community sources like ClawHub. Instead of sifting through 30,000+ scattered skills for tasks like gene ontology analysis or grant drafting, you get a science-first taxonomy spanning bioinformatics, cheminformatics, literature search, and data viz—ready to clone and drop into your Claude Code or Cursor setup via the open Agent Skills standard. It's phase one: a browsable link hub that becomes your local skill library with a git clone.

Why is it gaining traction?

Unlike generic github curated lists or bloated awesome repos, it filters for real research workflows with strict criteria like open licenses and no hidden network calls, making it fully clonable without registries or APIs. Cross-agent compatibility hooks devs using Claude, Cursor, Gemini CLI, or Antigravity, while the taxonomy gaps highlight extension opportunities—like filling simulation tools. At 91 stars, it's niche but appeals to those tired of marketing demos in broader curated collections.

Who should use this?

Bioinformaticians running scRNA-seq pipelines, cheminformaticians docking molecules with RDKit, or academic writers automating PubMed searches and citations via AI agents. Research ops folks in labs wiring skills for reproducibility, data wrangling, or publication plots will save hours versus hunting VoltAgent or Composio lists.

Verdict

Worth starring and forking for science agent workflows—early phase one keeps it lightweight, but low 1.0% credibility score and 91 stars signal immaturity; contribute skills to push toward phase two's unified directory. Solid starting point if you're extending agent setups today.

(187 words)

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