Peer Review (Academic)

What it does

This skill provides a structured peer-review workflow for academic manuscripts, theses, and research reports. It guides an agent through an end-to-end review: summarize contributions, assess novelty and significance, verify methods and results, organize issues into major vs. minor, and produce a clear recommendation with an actionable revision path. The output is designed to be copy-paste-ready into reviewer reports or internal review documents.

When to use it

Use this skill before journal or conference submission, during internal lab/group reviews, ahead of thesis committee evaluation, or when translating reviewer/editor feedback into a prioritized revision plan. It's useful for authors seeking pre-submission quality control and for advisors preparing formal feedback.

What's included

• Scripts: none in the repository (has_scripts=false)
• References: guidance and checklists are present under references/ (has_references=true)
• Instructions: a detailed stepwise review template and a peer_review_template.md asset that structures overall evaluation, methods checks, issue triage, and revision suggestions. The SKILL.md includes example report markdown and checklists for reproducibility and reporting.

Compatible agents

Best for assistants with text-generation and formatting capabilities (Copilot-style or Claude/GPT-class models) that can follow templates and produce structured markdown reports. Integrates well where the agent can paste formatted review output into submission or collaboration tools.