Agent skill

biomedical-science-writer

Draft biomedical research manuscripts from research data. Use when user wants to write a research paper, has a project folder with papers, data, figures, and a GitHub repository link. Orchestrates context-ingestion, scoping, literature-review, code-analyzer, results-interpreter, synthesis, and assembler sub-skills.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/development/biomedical-science-writer

SKILL.md

Biomedical Science Writer

Orchestrates the creation of scientific manuscript drafts through a structured, note-generating workflow.

Core Principle: No Silent Assumptions

This skill NEVER makes assumptions about user data without explicit confirmation.

When encountering ambiguity in data, code, or figures:

  1. STOP and ask the user for clarification
  2. DOCUMENT all clarifications received
  3. VERIFY interpretations before drafting

It is better to ask too many questions than to misinterpret the user's research. Every clarification is logged in the relevant notes files for transparency.

Specialist Agents

This skill employs specialist agents for domain expertise:

Agent Role Invoked During
Biostatistician Statistical accuracy review Methods, Results
Academic Reviewer Publication readiness review Before Assembly

Biostatistician Agent

The biostatistician (skills/biostatistician/SKILL.md) ensures:

  • Appropriate statistical test selection
  • Assumption checking and validation
  • Correct statistical reporting format
  • Effect sizes with confidence intervals
  • Multiple comparison handling

No statistical claims are published without biostatistician sign-off.

Academic Reviewer Agent

The academic reviewer (skills/academic-reviewer/SKILL.md) acts as a skeptical peer reviewer:

  • Verifies every claim is supported by its cited reference
  • Validates the hypothesis is clinically meaningful and testable
  • Confirms methods actually test the stated hypothesis
  • Independently interprets results before reading Discussion
  • Identifies discrepancies between evidence and author conclusions
  • Flags overstatements and unsupported claims
  • Routes issues to other agents or user for resolution

No manuscript proceeds to final assembly without academic reviewer approval.

Expected Project Structure

User must organize their project folder as follows:

project/
├── papers/              # PDF files of relevant literature
│   ├── smith-2023.pdf
│   ├── jones-2022.pdf
│   └── ...
├── data/                # Raw data outputs (CSV, Excel)
│   ├── results.csv
│   ├── demographics.csv
│   └── ...
├── figures/             # Generated figures (PNG, JPG, SVG)
│   ├── figure1.png
│   ├── figure2.png
│   └── ...
├── irb/                 # OPTIONAL - IRB protocol documents (.pdf, .docx, .md)
│   ├── protocol.pdf     # IRB-approved protocol
│   └── amendments/      # Optional protocol amendments
└── config.md            # Project configuration (see template below)

IRB Documents (Optional)

If provided, IRB documents enable:

  • Auto-populated ethics statement in final manuscript
  • Scope comparison checkpoint during scoping (catches discrepancies early)
  • Cross-reference validation in Methods and Results (ensures consistency)

Supported formats: PDF, Word (.docx), Markdown (.md)

config.md Template

markdown
# Project Configuration

## GitHub Repository
url: https://github.com/username/repo-name
branch: main
access: private  # or public

## Constraints
word_limit: 3500
target_journal: Radiology: Artificial Intelligence
citation_style: AMA

## Additional Notes
[Any other context for the manuscript]

Output Structure

The skill generates intermediate notes and drafts:

project/
├── notes/
│   ├── papers/              # Condensed notes per PDF (via subagent)
│   │   ├── smith-2023.md
│   │   └── jones-2022.md
│   ├── papers-library/      # ALL PDFs stored centrally
│   │   ├── smith-2023.pdf
│   │   └── jones-2022.pdf
│   ├── bibliography.md      # Master bibliography with citations/links
│   ├── literature-synthesis.md  # Aggregated themes and findings
│   ├── code-analysis.md     # GitHub repo analysis
│   ├── data-analysis.md     # Data/figures interpretation
│   ├── irb-summary.md       # IRB document extraction (if irb/ provided)
│   ├── irb-scope-comparison.md  # IRB vs actual scope (if irb/ provided)
│   ├── statistical-review.md    # Biostatistician sign-off report
│   └── reviewer-feedback.md     # Academic reviewer feedback
├── drafts/
│   ├── introduction.md
│   ├── methods.md
│   ├── results.md
│   ├── discussion.md
│   └── abstract.md
├── inventory.md             # What's available in project
├── scope.md                 # Research question, findings, constraints
└── manuscript.md            # Final assembled draft

Workflow

[1. Context Ingestion] ─── skills/context-ingestion/SKILL.md
│   - Scan project folder structure
│   - Validate required folders exist
│   - Clone/analyze GitHub repository
│   - Extract IRB content → notes/irb-summary.md (if irb/ exists)
│   - Generate inventory.md
│
▼
[2. Scoping] ─── skills/scoping/SKILL.md
│   - Ask: research question
│   - Ask: key findings (cross-check with inventory)
│   - Ask: constraints (word limit, journal)
│   - ★ IRB SCOPE COMPARISON → Confirm discrepancies with user (if IRB exists)
│   - Generate scope.md, notes/irb-scope-comparison.md
│
▼
[3. Literature Review] ─── skills/literature-review/SKILL.md
│   - ★ SUBAGENT PER PAPER → Prevents context overflow
│   - Process each PDF via isolated subagent → notes/papers/*.md
│   - Synthesize from condensed notes → notes/literature-synthesis.md
│   - Draft Introduction → drafts/introduction.md
│
▼
[4. Code Analysis] ─── skills/code-analyzer/SKILL.md
│   - Analyze GitHub repository
│   - Extract methodology → notes/code-analysis.md
│   - ★ BIOSTATISTICIAN REVIEW → Validate methods
│   - Draft Methods → drafts/methods.md
│
▼
[5. Results Interpretation] ─── skills/results-interpreter/SKILL.md
│   - Analyze CSV data files
│   - Interpret figures
│   - Generate → notes/data-analysis.md
│   - ★ BIOSTATISTICIAN REVIEW → Validate statistics
│   - Draft Results → drafts/results.md
│
▼
[6. Synthesis] ─── skills/synthesis/SKILL.md
│   - Read all notes/*.md
│   - Read drafts/introduction.md, methods.md, results.md
│   - Draft Discussion → drafts/discussion.md
│   - Draft Abstract → drafts/abstract.md
│
▼
[7. Academic Review] ─── skills/academic-reviewer/SKILL.md
│   - Verify claims against citations
│   - Validate hypothesis and methods alignment
│   - ★ INDEPENDENTLY interpret results
│   - Compare to Discussion conclusions
│   - Generate → notes/reviewer-feedback.md
│   - Route issues to agents or user
│
▼
[8. Assembly] ─── skills/assembler/SKILL.md
    - Confirm reviewer approval
    - Combine all drafts
    - Populate ethics statement from IRB (if available)
    - Apply formatting constraints
    - Generate → manuscript.md

Entry Points

The workflow supports multiple entry points:

Command Starts At Use When
/biomedical-science-writer:draft Step 1 Full workflow from scratch
/biomedical-science-writer:literature Step 3 Scope exists, need lit review
/biomedical-science-writer:methods Step 4 Need to analyze code only
/biomedical-science-writer:results Step 5 Need to interpret data only
/biomedical-science-writer:synthesize Step 6 All drafts exist, need Discussion
/biomedical-science-writer:assemble Step 7 All sections drafted, need final doc

Executing the Workflow

Step 1: Context Ingestion

Read skills/context-ingestion/SKILL.md and follow it to:

  • Validate project folder structure
  • Parse config.md for GitHub URL and constraints
  • Clone or fetch GitHub repository
  • Inventory all available materials
  • Output: inventory.md

Step 2: Scoping

Read skills/scoping/SKILL.md and follow it to:

  • Review inventory.md
  • Ask user for research question
  • Ask user for key findings (validate against data)
  • Confirm constraints from config.md
  • Output: scope.md

Step 3: Literature Review

Read skills/literature-review/SKILL.md and follow it to discover papers from three sources:

  • Source 1: Process user-provided PDFs in papers/notes/papers/*.md
  • Source 2: Web search (PubMed, Google Scholar) for gaps → notes/search/*.md
  • Source 3: Reference chaining from papers found above → notes/references/*.md
  • Save ALL PDFs to central library → notes/papers-library/*.pdf
  • Validate all papers have citations and links → notes/bibliography.md
  • Synthesize findings across all sources → notes/literature-synthesis.md
  • Draft Introduction using synthesis → drafts/introduction.md

Step 4: Code Analysis

Read skills/code-analyzer/SKILL.md and follow it to:

  • Analyze cloned GitHub repository
  • Extract methodology, statistical approaches, tools
  • Output: notes/code-analysis.md, drafts/methods.md

Step 5: Results Interpretation

Read skills/results-interpreter/SKILL.md and follow it to:

  • Analyze CSV files in data/
  • Interpret figures in figures/
  • Output: notes/data-analysis.md, drafts/results.md

Step 6: Synthesis

Read skills/synthesis/SKILL.md and follow it to:

  • Read all accumulated notes
  • Integrate findings with literature context
  • Output: drafts/discussion.md, drafts/abstract.md

Step 7: Assembly

Read skills/assembler/SKILL.md and follow it to:

  • Combine all draft sections
  • Apply word limit and formatting
  • Generate reference list
  • Output: manuscript.md

References

  • references/section-guidelines.md - Writing conventions per section
  • references/citation-format.md - Citation formatting styles
  • references/source-note-template.md - Template for paper notes

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