peer-review-simulator

Solid

Skill for simulating peer review feedback on manuscripts

AI & Automation 814 stars 53 forks Updated today MIT

Install

View on GitHub

Quality Score: 93/100

Stars 20%
97
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
43
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Peer Review Simulator Skill ## Purpose Simulate peer review feedback on manuscripts to identify potential issues and improve quality before submission. ## Capabilities - Analyze manuscript quality - Identify methodological issues - Check statistical validity - Assess presentation clarity - Generate reviewer comments - Prioritize improvements ## Usage Guidelines 1. Load manuscript 2. Analyze structure 3. Review methodology 4. Check statistics 5. Generate feedback 6. Prioritize issues ## Process Integration Works within scientific discovery workflows for: - Pre-submission review - Quality improvement - Manuscript refinement - Author preparation ## Configuration - Review criteria - Strictness levels - Focus areas - Output formats ## Output Artifacts - Review reports - Comment summaries - Issue prioritization - Improvement suggestions

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

Related Skills