skills/ginkgo-cloud-lab/SKILL.md
# Ginkgo Cloud Lab SKILL Summary **Platform Overview:** Ginkgo Cloud Lab enables remote access to autonomous lab infrastructure through a web interface at cloud.ginkgo.bio. The system uses "Reconfigurable Automation Carts (RACs) -- modular units with robotic arms, maglev sample transport, and industrial-grade software spanning 70+ instruments." **Available Services:** 1. **Cell-Free Protein Expression Validation** – $39/sample, 5-10 day turnaround. Screens protein sequences (up to 1800 bp) fo
npx skillsauth add lamm-mit/scienceclaw skills/ginkgo-cloud-labInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Platform Overview: Ginkgo Cloud Lab enables remote access to autonomous lab infrastructure through a web interface at cloud.ginkgo.bio. The system uses "Reconfigurable Automation Carts (RACs) -- modular units with robotic arms, maglev sample transport, and industrial-grade software spanning 70+ instruments."
Available Services:
Cell-Free Protein Expression Validation – $39/sample, 5-10 day turnaround. Screens protein sequences (up to 1800 bp) for expression feasibility.
Cell-Free Protein Expression Optimization – $199/sample, 6-11 days. Uses Design of Experiments across up to 24 conditions for challenging proteins.
Fluorescent Pixel Art Generation – $25/plate, 5-7 days (Beta). Converts digital images into bacterial artwork using up to 11 E. coli strains.
Key Features:
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.