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Skills/lingzhi227/agent-research-skills/literature-search
literature-search logo

literature-search

lingzhi227/agent-research-skills
1K installs133 stars
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Installation

npx skills add https://github.com/lingzhi227/agent-research-skills --skill literature-search

Summary

Search academic literature using Semantic Scholar, arXiv, and OpenAlex APIs. Returns structured JSONL with title, authors, year, venue, abstract, citations, and BibTeX. Use when the user needs to find papers, check related work, or build a bibliography.

SKILL.md

Literature Search

Search multiple academic databases to find relevant papers.

Input

  • $ARGUMENTS — The search query (natural language)

Scripts

Semantic Scholar (primary — best for ML/AI, has BibTeX)

python ~/.claude/skills/deep-research/scripts/search_semantic_scholar.py \
  --query "QUERY" --max-results 20 --year-range 2022-2026 \
  --api-key "$(grep S2_API_Key /Users/lingzhi/Code/keys.md 2>/dev/null | cut -d: -f2 | tr -d ' ')" \
  -o results_s2.jsonl

Key flags: --peer-reviewed-only, --top-conferences, --min-citations N, --venue NeurIPS ICML

arXiv (latest preprints)

python ~/.claude/skills/deep-research/scripts/search_arxiv.py \
  --query "QUERY" --max-results 10 -o results_arxiv.jsonl

OpenAlex (broadest coverage, free, no API key)

python ~/.claude/skills/literature-search/scripts/search_openalex.py \
  --query "QUERY" --max-results 20 --year-range 2022-2026 \
  --min-citations 5 -o results_openalex.jsonl

Merge & Deduplicate

python ~/.claude/skills/deep-research/scripts/paper_db.py merge \
  --inputs results_s2.jsonl results_arxiv.jsonl results_openalex.jsonl \
  --output merged.jsonl

CrossRef (DOI-based lookup, broadest type coverage)

python ~/.claude/skills/literature-search/scripts/search_crossref.py \
  --query "QUERY" --rows 10 --output results_crossref.jsonl

Key flags: --bibtex (output .bib format), --rows N

Download arXiv Source (get .tex files)

python ~/.claude/skills/literature-search/scripts/download_arxiv_source.py \
  --title "Paper Title" --output-dir arxiv_papers/

Key flags: --arxiv-id 1706.03762, --metadata, --max-results N

Generate BibTeX from results

python ~/.claude/skills/deep-research/scripts/bibtex_manager.py \
  --jsonl merged.jsonl --output references.bib

Workflow

  1. Expand the user's query into 2-4 complementary search queries
  2. Run Semantic Scholar search (primary) with expanded queries
  3. Run arXiv for very recent preprints (< 3 months)
  4. Optionally run OpenAlex for broader coverage
  5. Merge and deduplicate results
  6. Rank by: citations (0.3) + recency (0.3) + venue quality (0.2) + relevance (0.2)
  7. Present structured results table

Venue Quality Tiers

Tier 1: NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL, CVPR, ICCV, ECCV, KDD, AAAI, IJCAI, SIGIR, WWW Tier 2: AISTATS, UAI, COLT, COLING, EACL, WACV, JMLR, TACL Tier 3: Workshops, arXiv preprints — mark with (preprint)

Output Format

Present results as a table + detailed entries with BibTeX keys. Always note preprint status.

Related Skills

  • Downstream: citation-management, literature-review, related-work-writing
  • See also: deep-research, novelty-assessment

Score

0–100
63/ 100

Grade

C

Popularity15/30

1,313 installs — growing adoption.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Literature Search skill score badge previewScore badge

Markdown

[![Literature Search skill](https://www.remoteopenclaw.com/skills/lingzhi227/agent-research-skills/literature-search/badges/score.svg)](https://www.remoteopenclaw.com/skills/lingzhi227/agent-research-skills/literature-search)

HTML

<a href="https://www.remoteopenclaw.com/skills/lingzhi227/agent-research-skills/literature-search"><img src="https://www.remoteopenclaw.com/skills/lingzhi227/agent-research-skills/literature-search/badges/score.svg" alt="Literature Search skill"/></a>

Literature Search FAQ

How do I install the Literature Search skill?

Run “npx skills add https://github.com/lingzhi227/agent-research-skills --skill literature-search” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Literature Search skill do?

Search academic literature using Semantic Scholar, arXiv, and OpenAlex APIs. Returns structured JSONL with title, authors, year, venue, abstract, citations, and BibTeX. Use when the user needs to find papers, check related work, or build a bibliography. The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Literature Search skill free?

Yes. Literature Search is a free, open-source skill published from lingzhi227/agent-research-skills. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Literature Search work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Literature Search works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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