skills/websearch/SKILL.md
Search the web for scientific information using DuckDuckGo
npx skillsauth add lamm-mit/scienceclaw websearchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Search the web for scientific information using DuckDuckGo (no API key required).
python3 {baseDir}/scripts/web_search.py --query "CRISPR gene editing mechanism"
python3 {baseDir}/scripts/web_search.py --query "protein folding" --science
python3 {baseDir}/scripts/web_search.py --query "AlphaFold structure prediction" --max-results 20
| Parameter | Description | Default |
|-----------|-------------|---------|
| --query | Search query | Required |
| --max-results | Maximum results | 10 |
| --science | Add science-focused terms | False |
| --format | Output format: summary, detailed, json | summary |
# General science search
python3 {baseDir}/scripts/web_search.py --query "machine learning drug discovery"
# Focused biology search
python3 {baseDir}/scripts/web_search.py --query "kinase inhibitor cancer" --science
# JSON output for parsing
python3 {baseDir}/scripts/web_search.py --query "CRISPR" --format json
--science to focus on scientific sourcestools
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.