WenyuChiou

13 Claude Code skills for common research tasks — literature triage, research design, project context, manuscript writing, and multi-AI delegation. 5-plugin marketplace, install in one command.

38
2
100% credibility
Found Apr 28, 2026 at 38 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A curated collection of 13 AI skills for researchers to streamline literature review, project planning, manuscript writing, reference management with Zotero, and collaboration across multiple AIs within Claude Code.

How It Works

1
📚 Discover AI research helpers

You hear about a collection of smart helpers that make research easier, like sorting papers and writing drafts.

2
🚀 Add the starter pack

With one easy step in your AI assistant, you grab the basic set of tools to get started right away.

3
Skills light up automatically

Now when you chat with your AI about research, it picks the perfect helper based on what you need.

4
Pick your research focus
🔍
Review papers

Compare studies, build summaries, and check notes from your reading app.

✍️
Write your paper

Audit drafts, fix claims, format for journals, and reply to feedback.

📖
Organize library

Clean up your paper collection, add tags, and fix duplicates.

🤝
Team up AIs

Hand off big tasks to other smart helpers for code or long reads.

5
🧠 Ask naturally

Just describe your task in plain words, and the right helper jumps in to guide you.

🎉 Research supercharged

Your papers get organized, ideas sharpen, writing polishes up, and projects move faster than ever.

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AI-Generated Review

What is ai-research-skills?

This Python-based catalog delivers 13 Claude Code skills for streamlining AI research engineering skills, from literature triage and research design to manuscript writing and multi-AI delegation. Users get a one-command marketplace install via the Claude Code CLI—add the marketplace, then install plugins like research-workspace for instant access to auto-triggering skills. It solves the hassle of piecing together AI prompts for research workflows, bundling verified tools for Zotero, NotebookLM, and delegation to Codex or Gemini.

Why is it gaining traction?

Unlike scattered prompt libraries, it integrates directly with Claude Code CLI via GitHub marketplace, auto-matching skills to natural phrases like "compare these papers" without memorizing names. The Claude Code skills stand out with per-skill verification on real test corpora, plus easy delegation for code-heavy or long-context tasks. Developers hook on the additive install—start with basics, layer Zotero or multi-AI as needed.

Who should use this?

PhD researchers and ai research scientists juggling literature reviews in Zotero, ai research engineers designing experiments, or postdocs drafting papers with Claude Code integration. Ideal for grad students triaging papers via NotebookLM or research support staff auditing libraries and handling reviewer responses.

Verdict

Early maturity with 38 stars and 1.0% credibility score, but strong Claude Code docs and test coverage make it worth trying for Claude users—install the free marketplace today if you're in AI research workflows. Skip if not on Claude Code CLI.

(198 words)

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