
Literature Search
Orchestrates parallel searches across Semantic Scholar, arXiv, OpenAlex, and CrossRef, then merges and deduplicates results into structured JSONL with BibTeX entries. The real workflow here is query expansion into 2-4 variants, followed by citation-weighted ranking that balances recency, venue quality, and relevance. Semantic Scholar is treated as primary for ML/AI papers since it includes proper BibTeX, while arXiv catches the last three months of preprints. Nice touch: it can download arXiv source LaTeX files directly. The venue tier system is opinionated but sensible, clearly marking NeurIPS/ICML as top tier and flagging preprints. Use this when you need a proper literature survey with mergeable citations, not just Google Scholar copypasta.
- skills.sh installs
- 2.7K
- GitHub stars
- 459
- last updated
- Aug 21, 2026
Install
$ npx -y skills add lingzhi227/agent-research-skills --skill literature-search --agent claude-codeInstalls into .claude/skills of the current project.
Files
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
Sponsors
Details
- Repository
- github.com/lingzhi227/agent-research-skills
- Categories
- DevOps & CI/CD, AI & Agent Building, Data Science & ML
- First seen
- May 16, 2026
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