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research-lit

Search and analyze research papers, find related work, summarize key ideas. Use when user says "find papers", "related work", "literature review", "what does this paper say", or needs to understand academic papers.

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Atualizado há 2 meses

Ver no GitHub ↗ Licença: MIT

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/plugin marketplace add wanshuiyin/Auto-claude-code-research-in-sleep

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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 directory
  • literature/ in the current project directory
  • Custom path specified by user in CLAUDE.md under ## 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 Sources below.
  • ARXIV_DOWNLOAD = false — When true, download top 3-5 most relevant arXiv PDFs to PAPER_LIBRARY after search. When false (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.
💡 Overrides:
- /research-lit "topic" — paper library: ~/my_papers/ — custom local PDF path
- /research-lit "topic" — sources: zotero, local — only search Zotero + local PDFs
- /research-lit "topic" — sources: web — only search the web (skip all local)
- /research-lit "topic" — sources: web, semantic-scholar — also search Semantic Scholar for published venue papers (IEEE, ACM, etc.)
- /research-lit "topic" — sources: all, deepxiv — use default sources plus DeepXiv
- /research-lit "topic" — arxiv download: true — download top relevant arXiv PDFs
- /research-lit "topic" — arxiv download: true, max download: 10 — download up to 10 PDFs

Data Sources

This skill checks multiple sources in priority order. All are optional — if a source is not configured or not requested, skip it silently.

Source Selection

Parse $ARGUMENTS for a — sources: directive:

  • If — sources: is specified: Only search the listed sources (comma-separated). Valid values: zotero, obsidian, local, web, semantic-scholar, deepxiv, exa, gemini, openalex, all.
  • If not specified: Default to all — search every available source in priority order (semantic-scholar, deepxiv, exa, gemini, and openalex are excluded from all; they must be explicitly listed).

Examples:

/research-lit "diffusion models"                                    → all (default, no S2)
/research-lit "diffusion models" — sources: all                     → all (default, no S2)
/research-lit "diffusion models" — sources: zotero                  → Zotero only
/research-lit "diffusion models" — sources: zotero, web             → Zotero + web
/research-lit "diffusion models" — sources: local                   → local PDFs only
/research-lit "topic" — sources: obsidian, local, web               → skip Zotero
/research-lit "topic" — sources: web, semantic-scholar              → web + S2 API (IEEE/ACM venue papers)
/research-lit "topic" — sources: deepxiv                            → DeepXiv only
/research-lit "topic" — sources: all, deepxiv                       → default sources + DeepXiv
/research-lit "topic" — sources: all, semantic-scholar              → all + S2 API
/research-lit "topic" — sources: exa                               → Exa only (broad web + content extraction)
/research-lit "topic" — sources: all, exa                          → default sources + Exa web search
/research-lit "topic" — sources: gemini                            → Gemini only (AI-powered broad discovery)
/research-lit "topic" — sources: all, gemini                       → default sources + Gemini discovery
/research-lit "topic" — sources: gemini, semantic-scholar           → Gemini + S2 (broad discovery + venue metadata)
/research-lit "topic" — sources: openalex                          → OpenAlex only (open citation graph + institutions)
/research-lit "topic" — sources: semantic-scholar, openalex         → S2 + OpenAlex (complementary metadata)

Source Table

| Priority | Source | ID | How to detect | What it provides | |----------|--------|----|---------------|-----------------| | 1 | Zotero (via MCP) | zotero | Try calling any mcp__zotero__* tool — if unavailable, skip | Collections, tags, annotations, PDF highlights, BibTeX, semantic search | | 2 | Obsidian (via MCP) | obsidian | Try calling any mcp__obsidian-vault__* tool — if unavailable, skip | Research notes, paper summaries, tagged references, wikilinks | | 3 | Local PDFs | local | Glob: papers/**/*.pdf, literature/**/*.pdf | Raw PDF content (first 3 pages) | | 4 | Web search | web | Always available (WebSearch) | arXiv, Semantic Scholar, Google Scholar | | 5 | Semantic Scholar API | semantic-scholar | $S2_FETCHER resolves (canonical name semantic_scholar_fetch.py, per integration-contract §2) | Published venue papers (IEEE, ACM, Springer) with structured metadata: citation counts, venue info, TLDR. Only runs when explicitly requested via — sources: semantic-scholar or — sources: web, semantic-scholar | | 6 | DeepXiv CLI | deepxiv | $DEEPXIV_FETCHER resolves (canonical name deepxiv_fetch.py, per integration-contract §2) and deepxiv CLI present (command -v deepxiv) | Progressive paper retrieval: search, brief, head, section, trending, web search. Only runs when explicitly requested via — sources: deepxiv or — sources: all, deepxiv | | 7 | Exa Search | exa | $EXA_FETCHER resolves (canonical name exa_search.py, per integration-contract §2); fetcher handles exa-py SDK + API key internally | AI-powered broad web search with content extraction (highlights, text, summaries). Covers blogs, docs, news, companies, and research papers beyond arXiv/S2. Only runs when explicitly requested via — sources: exa or — sources: all, exa | | 8 | Gemini (MCP / CLI) | gemini | mcp__gemini-cli__ask-gemini tool available, or gemini CLI installed | AI-powered broad literature discovery — decomposes topics into sub-problems, aliases, and variants for wider retrieval. Prefers MCP, falls back to CLI. Only runs when explicitly requested via — sources: gemini or — sources: all, gemini | | 9 | OpenAlex | openalex | $OPENALEX_FETCHER resolves (canonical name openalex_fetch.py, per integration-contract §2) and Python requests module importable | Open citation graph with institutional affiliations, funding data, and comprehensive metadata across 250M+ works. Fully open API. Only runs when explicitly requested via — sources: openalex or — sources: all, openalex |

Graceful degradation: If no MCP servers are configured, the skill works exactly as before (local PDFs + web search). Zotero and Obsidian are pure additions.

Workflow

Step 0a: Search Zotero Library (if available)

Skip this step entirely if Zotero MCP is not configured.

Try calling a Zotero MCP tool (e.g., search). If it succeeds:

  1. Search by topic: Use the Zotero search tool to find papers matching the research topic
  2. Read collections: Check if the user has a relevant collection/folder for this topic
  3. Extract annotations: For highly relevant papers, pull PDF highlights and notes — these represent what the user found important
  4. Export BibTeX: Get citation data for relevant papers (useful for /paper-write later)
  5. Compile results: For each relevant Zotero entry, extract:
  6. Title, authors, year, venue
  7. User's annotations/highlights (if any)
  8. Tags the user assigned
  9. Which collection it belongs to
📚 Zotero annotations are gold — they show what the user personally highlighted as important, which is far more valuable than generic summaries.

Step 0b: Search Obsidian Vault (if available)

Skip this step entirely if Obsidian MCP is not configured.

Try calling an Obsidian MCP tool (e.g., search

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