wentorai

wentorai / research-plugins

Public

350+ academic research skills, MCP configs, and plugins for Research-Claw and AI agents

86
15
100% credibility
Found Mar 11, 2026 at 29 stars 3x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
JavaScript
AI Summary

This repository offers a curated set of 487 research skills, 13 agent tools for academic databases, 150 configurations, and 6 resource lists to boost AI assistants in scholarly tasks like literature discovery, analysis, and writing.

How It Works

1
🔍 Discover the Research Helper Kit

You stumble upon a massive collection of tips and tools that make your AI assistant a research superstar.

2
📦 Add the Kit to Your AI Buddy

You simply tell your AI helper to grab this kit, and it loads up hundreds of research shortcuts.

3
✨ Unlock Pro Research Powers

Your AI now knows expert tricks for finding papers, crunching data, and writing like a scholar.

4
🔗 Link Free Research Sources

Optionally connect popular free databases so your AI pulls fresh papers effortlessly.

5
📚 Hunt for the Perfect Papers

Ask your AI to search vast libraries for articles on your topic, complete with summaries and links.

6
📊 Analyze and Write Smartly

Use built-in guides to clean data, create charts, polish drafts, and manage references.

🎉 Ace Your Research Project

Your paper comes together faster, stronger, and ready to impress – all powered by your supercharged AI.

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Star Growth

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AI-Generated Review

What is research-plugins?

This JavaScript package delivers 487 academic research skills, 150 MCP configs, and 13 agent tools for Research-Claw and other AI agents, covering literature search, data analysis, writing, and 16 domains like CS and biomed. It wraps APIs from Semantic Scholar, arXiv, PubMed, and more into ready-to-use tools, plus curated lists for quick starts. Install via npm, pip, or as an OpenClaw plugin to supercharge AI for real research workflows—no more manual API hunting.

Why is it gaining traction?

Unlike scattered GitHub repos or single-tool wrappers, it bundles 350+ academic skills into a taxonomy of 40 subcategories with plug-and-play MCP configs for reference managers and databases. Devs love the zero-config agent tools for citation tracking and open access hunting, plus bilingual docs in English/Chinese. The hook: one command like `npx skills add wentorai/research-plugins` unlocks productivity across lit review, stats, and grant writing.

Who should use this?

PhD students automating systematic reviews, AI devs building research agents for CS 350 projects or biomedical analysis, and academics integrating MCP servers for Zotero or arXiv monitoring. Perfect for tamu ecen 350 github workflows or se 350 github assignments needing quick PubMed searches and LaTeX polishing.

Verdict

Grab it if you're on Research-Claw—solid docs and MIT license make it a no-brainer starter pack despite 14 stars and 1.0% credibility score signaling early maturity. Test coverage lags, but for agent prototyping, it's practical now.

(198 words)

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