skills/literature-meta-search/SKILL.md
Unified search across OSTI, Google Scholar, ArXiv, and corpus-search with deduplication and reciprocal rank fusion
npx skillsauth add lamm-mit/scienceclaw literature-meta-searchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Unified literature search across multiple sources — OSTI, Google Scholar, ArXiv, and the local PDF corpus — with deduplication and reciprocal rank fusion ranking. Returns a single merged result list with an in_corpus flag showing which papers are in the local index.
python3 {baseDir}/scripts/meta_search.py --query "lithium extraction brine"
python3 {baseDir}/scripts/meta_search.py --query "rare earth separation" --sources osti,scholar
python3 {baseDir}/scripts/meta_search.py --query "cobalt supply chain" --year-from 2020 --year-to 2025
python3 {baseDir}/scripts/meta_search.py --query "critical minerals policy" --format json --top-n 20
| Parameter | Description | Default |
|-----------|-------------|---------|
| --query | Search query | Required |
| --sources | Comma-separated sources: osti, scholar, arxiv, corpus | osti,scholar,arxiv,corpus |
| --year-from | Start year for publication filter | - |
| --year-to | End year for publication filter | - |
| --top-n | Number of results to return | 15 |
| --format | Output format: summary, detailed, json | summary |
| Source | Type | Auth Required |
|--------|------|---------------|
| osti | DOE technical reports | No |
| scholar | Google Scholar papers | SERPAPI_KEY |
| arxiv | ArXiv preprints | No |
| corpus | Local PDF corpus | PINECONE_API_KEY |
# Multi-source search for battery materials
python3 {baseDir}/scripts/meta_search.py --query "solid state battery electrolyte" --top-n 20
# OSTI + Scholar for policy research
python3 {baseDir}/scripts/meta_search.py --query "critical minerals trade policy" --sources osti,scholar
# Recent arxiv + corpus papers
python3 {baseDir}/scripts/meta_search.py --query "rare earth recycling" --sources arxiv,corpus --year-from 2023
in_corpus flag indicates which results are in the local PDF indextools
Onboard and manage Paperclip AI for research-paper knowledge and agent orchestration
development
Perform AI-powered web searches with real-time information using Perplexity models via LiteLLM and OpenRouter. This skill should be used when conducting web searches for current information, finding recent scientific literature, getting grounded answers with source citations, or accessing information beyond the model knowledge cutoff. Provides access to multiple Perplexity models including Sonar Pro, Sonar Pro Search (advanced agentic search), and Sonar Reasoning Pro through a single OpenRouter API key.
testing
Generate a structured scientific PDF report from a JSON description. Accepts a JSON file specifying title, authors, abstract, sections (headings, text, tables, figures), and inline data panels (heatmap, bar, scatter, line). Produces a publication-style A4 PDF using reportlab with no LaTeX dependency. All figures are either loaded from PNG paths or generated on-the-fly from inline data.
development
Execute arbitrary Python code and return stdout. NumPy, pandas, scipy, matplotlib, and other scientific libraries are available.