Back to Skills

ginkgo-cloud-lab

K-Dense-AI
Updated Today
26,534
2,743
26,534
View on GitHub
Metaautomation

About

This Claude Skill enables developers to submit and manage biological protocols on Ginkgo Bioworks' Cloud Lab for autonomous lab execution. It supports specific workflows like cell-free protein expression and fluorescent pixel art generation, handling protocol selection, input preparation, and ordering. Use it when building integrations that require remote access to Ginkgo's automated lab infrastructure and services.

Quick Install

Claude Code

Recommended
Primary
npx skills add K-Dense-AI/claude-scientific-skills -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/K-Dense-AI/claude-scientific-skills
Git CloneAlternative
git clone https://github.com/K-Dense-AI/claude-scientific-skills.git ~/.claude/skills/ginkgo-cloud-lab

Copy and paste this command in Claude Code to install this skill

Documentation

Ginkgo Cloud Lab

Overview

Ginkgo Cloud Lab (https://cloud.ginkgo.bio) provides remote access to Ginkgo Bioworks' autonomous lab infrastructure. Protocols are executed on Reconfigurable Automation Carts (RACs) -- modular units with robotic arms, maglev sample transport, and industrial-grade software spanning 70+ instruments.

The platform also includes EstiMate, an AI agent that accepts human-language protocol descriptions and returns feasibility assessments and pricing for custom workflows beyond the listed protocols.

Available Protocols

1. Cell Free Protein Expression Validation

Rapid go/no-go expression screening using reconstituted E. coli CFPS. Submit a FASTA sequence (up to 1800 bp) and receive expression confirmation, baseline titer (mg/L), and initial purity with virtual gel images.

2. Cell Free Protein Expression Optimization

DoE-based optimization across up to 24 conditions per protein (lysates, temperatures, chaperones, disulfide enhancers, cofactors). Designed for difficult-to-express and membrane proteins.

3. Fluorescent Pixel Art Generation

Transform a pixel art image (48x48 to 96x96 px, PNG/SVG) into fluorescent bacterial artwork using up to 11 E. coli strains via acoustic dispensing. Delivered as high-res UV photographs.

General Ordering Workflow

  1. Select a protocol at https://cloud.ginkgo.bio/protocols
  2. Configure parameters (number of samples/proteins, replicates, plates)
  3. Upload input files (FASTA for protein protocols, PNG/SVG for pixel art)
  4. Add any special requirements in the Additional Details field
  5. Submit and receive a feasibility report and price quote

For protocols not listed above, use the EstiMate chat to describe a custom protocol in plain language and receive compatibility assessment and pricing.

Authentication

Access Ginkgo Cloud Lab at https://cloud.ginkgo.bio. Account creation or institutional access may be required. Contact Ginkgo at [email protected] for access questions.

Key Infrastructure

  • RACs (Reconfigurable Automation Carts): Modular robotic units with high-precision arms and maglev transport
  • Catalyst Software: Protocol orchestration, scheduling, parameterization, and real-time monitoring
  • 70+ integrated instruments: Sample prep, liquid handling, analytical readouts, storage, incubation
  • Nebula: Ginkgo's autonomous lab facility in Boston, MA

GitHub Repository

K-Dense-AI/claude-scientific-skills
Path: skills/ginkgo-cloud-lab
0
agent-skillsai-scientistbioinformaticschemoinformaticsclaudeclaude-skills

Related Skills

content-collections

Meta

This skill provides a production-tested setup for Content Collections, a TypeScript-first tool that transforms Markdown/MDX files into type-safe data collections with Zod validation. Use it when building blogs, documentation sites, or content-heavy Vite + React applications to ensure type safety and automatic content validation. It covers everything from Vite plugin configuration and MDX compilation to deployment optimization and schema validation.

View skill

polymarket

Meta

This skill enables developers to build applications with the Polymarket prediction markets platform, including API integration for trading and market data. It also provides real-time data streaming via WebSocket to monitor live trades and market activity. Use it for implementing trading strategies or creating tools that process live market updates.

View skill

creating-opencode-plugins

Meta

This skill helps developers create OpenCode plugins that hook into 25+ event types like commands, files, and LSP operations. It provides the plugin structure, event API specifications, and implementation patterns for JavaScript/TypeScript modules. Use it when you need to intercept, monitor, or extend the OpenCode AI assistant's lifecycle with custom event-driven logic.

View skill

sglang

Meta

SGLang is a high-performance LLM serving framework that specializes in fast, structured generation for JSON, regex, and agentic workflows using its RadixAttention prefix caching. It delivers significantly faster inference, especially for tasks with repeated prefixes, making it ideal for complex, structured outputs and multi-turn conversations. Choose SGLang over alternatives like vLLM when you need constrained decoding or are building applications with extensive prefix sharing.

View skill