Aperivue

Aperivue / medsci-skills

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Claude Code skills for medical research — literature search, reporting guidelines, statistical analysis, publication figures. Built by a physician-researcher, tested on real publications. MIT licensed.

aperivue.comskills academic-writing ai-tools biostatistics claude-code claude-skills
12
2
100% credibility
Found Apr 08, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A bundle of 20 interconnected helpers for medical researchers that automate the research workflow from literature search and data cleaning to statistical analysis, figure creation, manuscript drafting, compliance auditing, and presentation building.

How It Works

1
🔍 Discover helpful research tools

While searching for ways to speed up your medical research, you find MedSci Skills – 20 tools built by a doctor to handle papers from start to finish.

2
📱 See it in action

Watch the demo where simple data turns into a full paper, charts, compliance check, and slides – all automatically.

3
✅ Set it up quickly

Copy the tools into your AI helper's spot and refresh – now your assistant knows all 20 research tricks.

4
✨ Feed in your data

Load your patient dataset and say 'run the full analysis pipeline' – it crunches stats, draws perfect figures, and drafts your paper.

5
📋 Review smart outputs

Get a manuscript that follows guidelines, verified references, and a presentation with speaker notes – everything publication-ready.

🎉 Publish and present

Your paper is compliant and polished, ready for submission, with slides to wow your audience.

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Star Growth

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AI-Generated Review

What is medsci-skills?

medsci-skills bundles 20 Claude code skills for medical research workflows, from PubMed searches and stats analysis to publication figures, reporting compliance audits, and full manuscripts. Load your dataset, run /orchestrate in Claude Code CLI or IDE, and get chained outputs like Table 1 demographics, ROC curves with DeLong CIs, STARD checklists, and PPTX presentations—all in Python with verified citations. It's a claude code buddy built by a physician-researcher to cut hours off lit review to submission.

Why is it gaining traction?

Unlike thin aggregator repos, it chains skills end-to-end (data clean → analyze-stats → make-figures → write-paper → check-reporting) with zero hallucinated refs via PubMed/CrossRef APIs and bundled checklists for 16 guidelines like PRISMA-DTA. The one-line demo—sklearn breast cancer data to 2200-word PDF manuscript with embedded figs—shows claude code skills that actually ship reproducible code and journal-ready artifacts. Free MIT license and claude code install via git clone to ~/.claude/skills/ lowers the barrier for claude github integration.

Who should use this?

Physician-researchers drafting diagnostic accuracy papers needing stats code, compliance audits, and forest plots. Radiology AI teams validating models with DeLong tests and STARD flow diagrams. Med postdocs turning messy CSVs into IRB protocols, grant proposals, or journal club slides without biostat gaps.

Verdict

Solid pick for med research automation—install via claude code github and start with /orchestrate. 12 stars and 1.0% credibility reflect its niche start, but real-pub testing and deep docs outweigh generic alternatives; expect growth as claude code cli users discover it.

(198 words)

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