bio-manuscript-refine

SkillMedia

Run a reviewer-style refinement loop over the manuscript plan using three perspectives: editor, computational reviewer, and biological reviewer.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the bio-manuscript-refine skill

About this capability

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

What this skill tells your AI

The instructions your AI receives, as published by biotender-max/awesome-bio-agent-skills in skills/bioclaw/bio-manuscript-refine/SKILL.md and read by ahel’s review.

Refine loop: three-reviewer iterative refinement (三审稿人迭代优化)

Run a reviewer-style refinement loop over the manuscript plan using three perspectives: editor, computational reviewer, and biological reviewer.

Purpose

  1. Review the current manuscript plan
  2. Produce structured review comments
  3. Revise the proposal round by round
  4. Track score history and revision history

Input Format

manuscript_plan: [full manuscript plan generated in previous steps]
target_journal: [target journal, default nat-communications]
num_rounds: [number of refine rounds, default 2]

Workflow

Round 0

  • save the initial proposal snapshot

Each review round

Produce three reviews:

  1. Editor
    • novelty
    • feasibility
    • journal fit
  2. Computational reviewer
    • method design
    • technical rigor
    • benchmark quality
    • implementation feasibility
  3. Biological reviewer
    • biological significance
    • analysis design
    • dataset suitability

Then generate:

  • a review summary
  • a revision response
  • a refined proposal

Output Format

# Refine Report

## Round 0
- initial proposal snapshot

## Round 1 Reviews
### Editor
- scores:
- key concerns:

### Computational Reviewer
- scores:
- key concerns:

### Biological Reviewer
- scores:
- key concerns:

## Round 1 Revision
- addressed concerns:
- remaining risks:

## Score History
| Round | Editor | Computational | Biological | Overall |
|-------|--------|---------------|------------|---------|
| 0 | ... | ... | ... | ... |

## Final Proposal Status
- ready for next phase / needs more revision

Reviewer Criteria

Editor

  • novelty
  • feasibility
  • journal fit

Computational reviewer

  • algorithmic soundness
  • method novelty
  • benchmark rigor
  • code feasibility

Biological reviewer

  • biological significance
  • analysis relevance
  • dataset realism

Usage

/bio-manuscript-refine "manuscript_plan: [path to proposal] | target_journal: nat-communications | num_rounds: 2"

Notes

  1. Revision should update the proposal itself, not only append comments.
  2. Keep a full history of each round.
  3. Scores are guidance, not absolute truth; comments matter more than raw numbers.

Signals

GitHub stars
178
Forks
32
Last commit
Jul 2026
Advanced
Catalog kind
skill
Gateway key
bio-manuscript-refine
Source
github.com/biotender-max/awesome-bio-agent-skills