skills/idea-generation/SKILL.md
# Idea Generation Skill Summary This workflow generates **5 research ideas grounded in literature**, following this process: ## Key Steps 1. **Check Workspace** – Audit existing papers in `$W/papers/` 2. **Plan Strategy** – Decide whether to use current collection or search for more papers 3. **Acquire Resources** – Either delegate to `/research-collect` (100+ papers) or run quick searches 4. **Analyze Literature** – Extract contributions, methods, limitations, and gaps from papers 5. **Gener
npx skillsauth add lamm-mit/scienceclaw skills/idea-generationInstall 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.
This workflow generates 5 research ideas grounded in literature, following this process:
$W/papers//research-collect (100+ papers) or run quick searches"Ideas MUST be grounded in actual papers, not generated from model knowledge." Each idea requires citations (≥2 papers by arXiv ID).
Results save to $W/ideas/ as individual markdown files, plus consolidated summary.
Works with /research-collect (upstream) and /research-pipeline (downstream for implementation).
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.