skills/research-survey/SKILL.md
# Research Survey Workflow Summary This skill activates when a prompt contains `/research-survey` and provides a structured deep-analysis methodology for academic papers. ## Core Process The workflow operates in three main phases: **Phase 1 - Paper Collection:** Verify prerequisite files exist in the workspace, including paper metadata JSONs, downloaded papers, reference repositories, and preparation documentation. Processing halts if required materials are missing. **Phase 2 - Individual P
npx skillsauth add lamm-mit/scienceclaw skills/research-surveyInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This skill activates when a prompt contains /research-survey and provides a structured deep-analysis methodology for academic papers.
The workflow operates in three main phases:
Phase 1 - Paper Collection: Verify prerequisite files exist in the workspace, including paper metadata JSONs, downloaded papers, reference repositories, and preparation documentation. Processing halts if required materials are missing.
Phase 2 - Individual Paper Analysis: For each paper (prioritized by score), the process involves:
Phase 3 - Synthesis: Compile individual analyses into a comprehensive report featuring comparative tables, technical recommendations, and a formula-to-code mapping index.
The workflow mandates reading original .tex files rather than abstracts, including at least one mathematical formula per paper analysis. When reference repositories exist, code mapping becomes mandatory—connecting formulas to actual implementations with file paths and line numbers.
The output produces per-paper notes and a synthesis report containing methodology comparisons, complexity analysis, and architectural recommendations grounded in reference implementations.
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.