Peer Review Simulator Skill

SkillDev tools

Skill for simulating peer review feedback on manuscripts

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Peer Review Simulator Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/domains/science/scientific-discovery/skills/peer-review-simulator/SKILL.md and read by ahel’s review.

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

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
peer-review-simulator
Source
github.com/a5c-ai/babysitter