
Research Lit
This one searches and analyzes academic papers across a surprising number of sources. It'll check your local PDFs, Zotero library, Obsidian notes, then hit arXiv, Semantic Scholar, and even newer APIs like DeepXiv and OpenAlex if you ask for them. The source prioritization is smart: it starts with what you already have before going to the web. You can override which sources it checks with a simple flag, and it'll optionally download arXiv PDFs for you. Most useful when you're starting a literature review or need to quickly understand what a paper says without reading 40 pages. The Zotero integration is especially nice since it pulls your existing highlights and annotations.
- skills.sh installs
- 651
- GitHub stars
- 18.9K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add wanshuiyin/auto-claude-code-research-in-sleep --skill research-lit --agent claude-codeInstalls into .claude/skills of the current project.
Files
Research Literature Review
Research topic: $ARGUMENTS
Constants
- PAPER_LIBRARY — Local directory containing user's paper collection (PDFs). Check these paths in order:
papers/in the current project directoryliterature/in the current project directory- Custom path specified by user in
CLAUDE.mdunder## Paper Library
- MAX_LOCAL_PAPERS = 20 — Maximum number of local PDFs to scan (read first 3 pages each). If more are found, prioritize by filename relevance to the topic.
- SOURCES =
all— Which literature sources to search. Options:zotero,obsidian,local,web,semantic-scholar,deepxiv,exa,gemini,openalex,all. Full source table and selection rules: see## Data Sourcesbelow. - ARXIV_DOWNLOAD = false — When
true, download top 3-5 most relevant arXiv PDFs to PAPER_LIBRARY after search. Whenfalse(default), only fetch metadata (title, abstract, authors) via arXiv API — no files are downloaded. - ARXIV_MAX_DOWNLOAD = 5 — Maximum number of PDFs to download when
ARXIV_DOWNLOAD = true.
Sponsors
Details
- Repository
- github.com/wanshuiyin/auto-claude-code-research-in-sleep
- Categories
- Git & Pull Requests, Code Review & Quality, Data Science & ML
- First seen
- Jun 3, 2026
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