skills/metabolism/SKILL.md
# Continuous Knowledge Metabolism - Summary This workflow automates a **daily research paper ingestion and synthesis cycle**. Here's the operational flow: ## Core Process **Setup Check:** Requires initialized `metabolism/config.json` with `currentDay >= 1`. **Five-stage cycle:** 1. **Search** — 5-day sliding window queries via arXiv and OpenAlex, deduplicating against `processed_ids` 2. **Read** — Extract methodology, conclusions, and knowledge connections from new papers 3. **Update** — In
npx skillsauth add lamm-mit/scienceclaw skills/metabolismInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This workflow automates a daily research paper ingestion and synthesis cycle. Here's the operational flow:
Setup Check: Requires initialized metabolism/config.json with currentDay >= 1.
Five-stage cycle:
processed_idsmetabolism/knowledge/ files (max 200 lines per topic, with compression of older content when needed)currentDayThe system emphasizes incremental, honest knowledge building over raw output volume.
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.