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medsci-skills

von Aperivue · Aperivue/medsci-skills

23 Claude Code skills built by a physician for the full medical research pipeline — literature search, protocol, stats, figures, IMRAD manuscript, reviewer response.

MedSci Skills covers the end-to-end clinical research workflow: literature search with verified citations, sample-size calculation, de-identification, stats code in Python/R for 13+ designs, PRISMA/STROBE/STARD compliance, publication figures, full IMRAD manuscripts, reviewer-response frameworks, and journal recommendation. Built with anti-hallucination citation discipline.

Warum nutzen

Hauptfunktionen

Live-Demo

In der Praxis

medsci-skill.replay ▶ bereit
0/0

Installieren

Wählen Sie Ihren Client

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "medsci-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ],
      "_inferred": true
    }
  }
}

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "medsci-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ],
      "_inferred": true
    }
  }
}

Cursor nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "medsci-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ],
      "_inferred": true
    }
  }
}

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "Edit Configuration".

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "medsci-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ],
      "_inferred": true
    }
  }
}

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "medsci-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/Aperivue/medsci-skills",
        "~/.claude/skills/medsci-skills"
      ]
    }
  ]
}

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.config/zed/settings.json
{
  "context_servers": {
    "medsci-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/Aperivue/medsci-skills",
          "~/.claude/skills/medsci-skills"
        ]
      }
    }
  }
}

In context_servers hinzufügen. Zed lädt beim Speichern neu.

claude mcp add medsci-skill -- git clone https://github.com/Aperivue/medsci-skills ~/.claude/skills/medsci-skills

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: medsci-skills

Draft a STROBE-compliant observational study manuscript

👤 Clinical researchers with a cleaned dataset and ready to write ⏱ ~120 min advanced

Wann einsetzen: You have analyses done and need to turn them into a submittable IMRAD manuscript.

Voraussetzungen
  • Cleaned, de-identified dataset + analysis outputs — Use the de-identification and stats skills first if not done
  • Skill installed — git clone https://github.com/Aperivue/medsci-skills ~/.claude/skills/medsci-skills
Ablauf
  1. Draft methods and results from outputs
    Use medsci-skills. Here are my analysis outputs and study design (retrospective cohort). Draft the Methods and Results sections, STROBE-compliant.✓ Kopiert
    → Full drafts with STROBE item mapping
  2. Run compliance audit
    Now audit this manuscript against the STROBE checklist — flag every missing item.✓ Kopiert
    → Table: item / present? / note
  3. Self-review from reviewer perspective
    Now critique this manuscript as a reviewer at the target journal would. Be harsh.✓ Kopiert
    → Numbered critique with line-level references

Ergebnis: A manuscript that clears a reporting-guideline audit and has been stress-tested before submission.

Fallstricke
  • Citations that look right but don't exist — The skill enforces verification — never accept a citation you can't open in PubMed
Kombinieren mit: arxiv · biomcp

Run a PRISMA-compliant systematic review pipeline

👤 Researchers starting a systematic review / meta-analysis ⏱ ~240 min advanced

Wann einsetzen: You're beginning a PRISMA-guided review.

Ablauf
  1. Build search strategy and fetch
    Use medsci-skills to design a PRISMA search for '<topic>'. Run it against PubMed and Europe PMC.✓ Kopiert
    → Boolean strategy + hit counts per database
  2. Screen and extract
    For the included studies, extract into the meta-analysis pipeline format.✓ Kopiert
    → Structured extraction table
  3. Generate PRISMA flow diagram and forest plot
    Now generate the PRISMA diagram and forest plot figures at journal resolution.✓ Kopiert
    → PDF/PNG figures ready to paste

Ergebnis: A compliant SR manuscript scaffold with figures.

Fallstricke
  • Over-inclusive search returns 10k+ hits — Tighten terms with the skill's query-refinement helper
Kombinieren mit: arxiv

Calculate sample size with an IRB-ready justification paragraph

👤 PIs preparing an ethics submission ⏱ ~15 min intermediate

Wann einsetzen: Before IRB review, when you need the stats justification done right.

Ablauf
  1. Specify effect size, alpha, power
    Use medsci-skills sample-size. Design: two-arm RCT. Primary outcome: continuous, expected difference 0.3 SD, alpha 0.05, power 0.8, 1:1 allocation.✓ Kopiert
    → N per arm + the formula + an IRB-ready paragraph

Ergebnis: A justification block you can paste into the protocol.

Draft point-by-point responses to reviewer comments

👤 Authors preparing a revision ⏱ ~45 min intermediate

Wann einsetzen: You got R1 reviews back and need a disciplined response.

Ablauf
  1. Structure the response letter
    Here are the reviewer comments. Use medsci-skills to draft a point-by-point response — quote comment, response, revised manuscript location.✓ Kopiert
    → Structured table-like response with line refs

Ergebnis: A cover letter editors will thank you for.

Fallstricke
  • Agreeing with every comment and weakening the paper — Ask the skill to push back on comments you disagree with, with evidence

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

medsci-skill + arxiv + biomcp

Pull primary literature with verifiable IDs for citations

Use biomcp + medsci-skills literature-search to find RCTs on <topic> from 2020–2025.✓ Kopiert
medsci-skill + filesystem

Keep protocol / manuscript / figures / stats in one versioned folder

Create project structure per medsci-skills conventions and initialize git.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

WerkzeugEingabenWann aufrufenKosten
literature-search topic, databases Start of any research task 0
sample-size design, effect size, alpha, power Protocol writing 0
deidentify clinical dataset Before any data work 0
stats-code design, data structure Analysis phase 0
manuscript-imrad outputs, design Writing phase 0
compliance-audit manuscript, guideline (STROBE/PRISMA/…) Pre-submission 0
journal-recommender manuscript Picking where to submit 0
reviewer-response reviews, manuscript Revision phase 0

Kosten & Limits

Was der Betrieb kostet

API-Kontingent
None from the skill itself
Tokens pro Aufruf
Large — manuscript drafts run 10–30k tokens
Kosten in €
Free, OSS
Tipp
Draft with a smaller model, polish with Opus — the 2-pass approach halves spend

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: No credentials stored; any DB API keys (PubMed, etc.) read from env
Datenabfluss: Only to databases you configure — PubMed, arXiv, etc. Never send PHI to external LLMs without de-identification.

Fehlerbehebung

Häufige Fehler und Lösungen

literature-search returns no results

Broaden terms; the skill defaults to strict Boolean

Compliance audit flags many items as missing

That's expected on a first draft — work through them in order of severity

Alternativen

medsci-skills vs. andere

AlternativeWann stattdessenKompromiss
biomcpYou mainly need biomedical data retrieval without the manuscript layerLess writing support
arxivPre-prints onlyNo medical guideline compliance

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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