skills/33-Galaxy-Dawn-claude-scholar/skills/paper-self-review/SKILL.md
This skill should be used when the user asks to "review paper quality", "check paper completeness", "validate paper structure", "self-review before submission", or mentions systematic paper quality checking. Provides comprehensive quality assurance checklist for academic papers.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research paper-self-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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A systematic paper quality checking tool that helps researchers conduct comprehensive self-review before submission.
Check whether all sections of the paper are complete and conform to academic standards:
Verify the logical coherence of the paper:
Check the completeness and accuracy of citations:
Evaluate the quality and effectiveness of figures and tables:
Check writing clarity and readability:
Use this checklist for systematic paper self-review:
Paper Quality Checklist:
- [ ] Abstract includes problem, method, results, contributions
- [ ] Introduction clearly states research motivation
- [ ] Method is reproducible
- [ ] Results support conclusions
- [ ] Discussion addresses limitations
- [ ] All figures/tables have captions
- [ ] Citations are complete and accurate
Use this skill in the following scenarios:
Follow these steps for systematic paper review:
Start with the overall structure, checking if all sections are complete and logically coherent.
Dive into each section, checking content accuracy and completeness.
Verify the completeness and accuracy of all citations.
Check the quality and captions of all figures and tables.
Review language expression and writing clarity.
Use the quality checklist for final verification.
The Paper Self-Review skill provides a systematic paper quality checking process, helping researchers identify and resolve issues before submission, improving paper quality and acceptance rates.
Load only what is needed:
references/SECTION-CHECKLIST.md - section-by-section review questionsreferences/FINAL-VERDICT.md - how to summarize submission readiness and blocking issuesexamples/example-self-review.md - example review outputtools
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Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".