bio-manuscript-refine
SkillMediaRun 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.
No other account needed.
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
- Review the current manuscript plan
- Produce structured review comments
- Revise the proposal round by round
- 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:
- Editor
- novelty
- feasibility
- journal fit
- Computational reviewer
- method design
- technical rigor
- benchmark quality
- implementation feasibility
- 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
- Revision should update the proposal itself, not only append comments.
- Keep a full history of each round.
- 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