review-paper
CommunityStructured, actionable ML paper critique.
Education & Research#rubric#critique#structured-feedback#academic-writing#paper-review#ml-research#neel-nanda
Authoryulonglin
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill provides structured critical analysis of ML/AI research papers and drafts, applying Neel Nanda's criteria to help authors strengthen claims, evaluate evidence, and improve overall writing quality.
Core Features & Use Cases
- Rubric-aligned critique: Assesses core narrative quality, experimental rigor, scientific integrity, writing clarity, novelty, and process indicators.
- Actionable feedback: Identifies strengths with concrete improvements and references to relevant sections.
- Flexible inputs: Works on full papers, abstracts, or individual sections, suitable for preprints, drafts, or submission-ready manuscripts.
Quick Start
Provide a draft paper or abstract to receive a structured critique with prioritized revision suggestions.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: review-paper Download link: https://github.com/yulonglin/dotfiles/archive/main.zip#review-paper Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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