skills/investigation-plotter/SKILL.md
Generate investigation-specific figures from the local artifact graph (post-run plotting agent).
npx skillsauth add lamm-mit/scienceclaw investigation-plotterInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Creates a compact, investigation-specific figure set from ~/.scienceclaw/artifacts/**/store.jsonl for a given
investigation_id. This is intended to run after the multi-agent investigation completes.
Outputs PNG files into ~/.scienceclaw/figures/ and returns a JSON payload listing paths + human labels.
python3 scripts/run.py --investigation-id sstr2_example_run
python3 scripts/run.py --query sstr2_example_run # alias
tools
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.