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.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
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
Recommend AND run open-source AI tools, agents, Claude Code / Codex skills, and MCP servers for any stage of a literature review — searching, reading, extracting, synthesizing, screening, citation-checking, and paper writing. Use when the user asks "what tool should I use to..." OR "install/run/use <tool> to ..." for research/lit-review work: automating a survey or related-work section, PDF→Markdown extraction for LLMs (MinerU/marker/docling), PRISMA / systematic review (ASReview), citation-backed Q&A over PDFs (PaperQA2), wiring papers into Claude/Cursor via MCP (arxiv/paper-search/zotero servers), or chatting with a Zotero library. Ships a launcher (scripts/litrun.py) that installs each tool in an isolated venv and runs it. Curated catalog of 70+ vetted projects. 支持中英文(用于「文献综述工具选型」与「一键安装/运行」)。
development
Route empirical-research requests through the Auto-Empirical Research Skills catalog when this whole repository is installed as one skill in Codex, CodeBuddy, Claude Code, or another IDE. Use to choose and load the right vendored AERS skill for causal inference, econometrics, replication, data acquisition, manuscript writing, peer review and referee responses, citation checking, de-AIGC editing, or full empirical-paper workflows without reading the entire repository at once.
documentation
Use when the project collects primary data or runs a field, lab, or survey experiment, before the intervention begins — write the pre-analysis plan, size the sample from a power calculation, and register with the AEA RCT Registry. Apply after the design is chosen in aer-identification and before any outcome data are seen.
tools
Guide economists to authoritative data sources with explicit, confirmed data specifications before retrieval; interfaces with Playwright MCP to navigate portals and extract real data, not articles about data.