Ginkgo Cloud Lab

Community

dralkh

ginkgo-cloud-lab

Submit and manage protocols on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs). Use when the user wants to run cell-free protein expression (validation or optimization), generate fluorescent pixel art, or interact with Ginkgo Cloud Lab services. Covers protocol selection, input preparation, pricing, and ordering workflows.

Overview

Publisher	dralkh
Repository	`seerai`
Skill name	`ginkgo-cloud-lab`
Stars	96
Forks	5
Bundled files	3
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
3 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by dralkh on GitHub. Read the source before you install it.

Installation

Install the Ginkgo Cloud Lab AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/dralkh/seerai/tree/main/skills/ginkgo-cloud-lab
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/dralkh/seerai.git /tmp/seerai
mkdir -p .claude/skills
cp -r /tmp/seerai/skills/ginkgo-cloud-lab .claude/skills/ginkgo-cloud-lab

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ginkgo Cloud Lab in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ginkgo Cloud Lab on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ginkgo Cloud Lab is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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.

Price: $39/sample | Turnaround: 5-10 days | Status: Certified
Details: See references/cell-free-protein-expression-validation.md

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.

Price: $199/sample | Turnaround: 6-11 days | Status: Certified
Details: See references/cell-free-protein-expression-optimization.md

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.

Price: $25/plate | Turnaround: 5-7 days | Status: Beta
Details: See references/fluorescent-pixel-art-generation.md

General Ordering Workflow

Select a protocol at https://cloud.ginkgo.bio/protocols
Configure parameters (number of samples/proteins, replicates, plates)
Upload input files (FASTA for protein protocols, PNG/SVG for pixel art)
Add any special requirements in the Additional Details field
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 cloud@ginkgo.bio 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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ginkgo Cloud Lab AI skill do?

Why use Ginkgo Cloud Lab on TypingMind?

Because you install it once and use it with any model. Ginkgo Cloud Lab is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ginkgo Cloud Lab in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dralkh/seerai/tree/main/skills/ginkgo-cloud-lab. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ginkgo Cloud Lab?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ginkgo Cloud Lab?

As many as you like. As long as a model supports skills, you can use Ginkgo Cloud Lab with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ginkgo Cloud Lab AI skill free?

Yes. It is published on GitHub by dralkh under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Ginkgo Cloud Lab

Overview

Available Protocols

1. Cell Free Protein Expression Validation

2. Cell Free Protein Expression Optimization

3. Fluorescent Pixel Art Generation

General Ordering Workflow

Authentication

Key Infrastructure

Bundled files

Frequently asked questions

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