lingzhi227/agent-research-skills/literature-search

Claude Code and agent skill by lingzhi227/agent-research-skills

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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.

Install

npx vskill@latest install lingzhi227/agent-research-skills/literature-search

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)
bash
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)
bash
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)
bash
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
bash
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)
bash
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)
bash
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
bash
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

Security

  • Security scanPassed, 100 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
62
Repository forks
12
7-day trend score
21

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 25 Apr 2026, 6 months ago.

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