Ginkgo Cloud Lab
K-Dense-AI/scientific-agent-skills
Guides protocol selection, input preparation, pricing checks, and browser ordering on Ginkgo Bioworks Cloud Lab (cloud.ginkgo.bio).
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).
Install Ginkgo Cloud Lab
$ npx skills add LeonChaoX/qinyan-academic-skills --skill ginkgo-cloud-lab -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeonChaoX/qinyan-academic-skills ginkgo-cloud-lab --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'skills/13-实验室自动化与集成/ginkgo-cloud-lab' .claude/skills/ginkgo-cloud-lab && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ginkgo-cloud-lab" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/13-%E5%AE%9E%E9%AA%8C%E5%AE%A4%E8%87%AA%E5%8A%A8%E5%8C%96%E4%B8%8E%E9%9B%86%E6%88%90/ginkgo-cloud-lab into .claude/skills/ginkgo-cloud-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ginkgo-cloud-lab", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/13-%E5%AE%9E%E9%AA%8C%E5%AE%A4%E8%87%AA%E5%8A%A8%E5%8C%96%E4%B8%8E%E9%9B%86%E6%88%90/ginkgo-cloud-labType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeonChaoX/qinyan-academic-skills --skill ginkgo-cloud-lab -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeonChaoX/qinyan-academic-skills ginkgo-cloud-lab --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'skills/13-实验室自动化与集成/ginkgo-cloud-lab' .agents/skills/ginkgo-cloud-lab && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ginkgo-cloud-lab" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/13-%E5%AE%9E%E9%AA%8C%E5%AE%A4%E8%87%AA%E5%8A%A8%E5%8C%96%E4%B8%8E%E9%9B%86%E6%88%90/ginkgo-cloud-lab into .agents/skills/ginkgo-cloud-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ginkgo-cloud-lab", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeonChaoX/qinyan-academic-skills --skill ginkgo-cloud-lab -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeonChaoX/qinyan-academic-skills ginkgo-cloud-lab --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'skills/13-实验室自动化与集成/ginkgo-cloud-lab' .cursor/skills/ginkgo-cloud-lab && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ginkgo-cloud-lab" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/13-%E5%AE%9E%E9%AA%8C%E5%AE%A4%E8%87%AA%E5%8A%A8%E5%8C%96%E4%B8%8E%E9%9B%86%E6%88%90/ginkgo-cloud-lab into .cursor/skills/ginkgo-cloud-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ginkgo-cloud-lab", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeonChaoX/qinyan-academic-skills.git --path 'skills/13-实验室自动化与集成/ginkgo-cloud-lab'--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeonChaoX/qinyan-academic-skills --skill ginkgo-cloud-lab -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeonChaoX/qinyan-academic-skills ginkgo-cloud-lab --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'skills/13-实验室自动化与集成/ginkgo-cloud-lab' .gemini/skills/ginkgo-cloud-lab && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ginkgo-cloud-lab" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/13-%E5%AE%9E%E9%AA%8C%E5%AE%A4%E8%87%AA%E5%8A%A8%E5%8C%96%E4%B8%8E%E9%9B%86%E6%88%90/ginkgo-cloud-lab into .gemini/skills/ginkgo-cloud-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ginkgo-cloud-lab", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeonChaoX/qinyan-academic-skills ginkgo-cloud-labInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeonChaoX/qinyan-academic-skills --skill ginkgo-cloud-lab -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'skills/13-实验室自动化与集成/ginkgo-cloud-lab' .github/skills/ginkgo-cloud-lab && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ginkgo-cloud-lab" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/13-%E5%AE%9E%E9%AA%8C%E5%AE%A4%E8%87%AA%E5%8A%A8%E5%8C%96%E4%B8%8E%E9%9B%86%E6%88%90/ginkgo-cloud-lab into .github/skills/ginkgo-cloud-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ginkgo-cloud-lab", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeonChaoX/qinyan-academic-skills --skill ginkgo-cloud-lab -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeonChaoX/qinyan-academic-skills ginkgo-cloud-lab --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'skills/13-实验室自动化与集成/ginkgo-cloud-lab' .opencode/skills/ginkgo-cloud-lab && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ginkgo-cloud-lab" agent skill from https://github.com/LeonChaoX/qinyan-academic-skills/tree/main/skills/13-%E5%AE%9E%E9%AA%8C%E5%AE%A4%E8%87%AA%E5%8A%A8%E5%8C%96%E4%B8%8E%E9%9B%86%E6%88%90/ginkgo-cloud-lab into .opencode/skills/ginkgo-cloud-lab/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ginkgo-cloud-lab", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ginkgo-cloud-lab- GitHub stars
- 938
- Used in
- 2 other repos
- Token cost
- ~868 tokens
- SKILL.md length
- 332 words
- Files
- 4 (incl. references)
- Skills in repo
- 22
- Repo updated
- First seen
- Licence
- MIT
At a glance
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).
- Works in 3 steps: Cell Free Protein Expression Validation → Cell Free Protein Expression Optimization → Fluorescent Pixel Art Generation
- The user wants to run cell-free protein expression (validation
- SKILL.md covers Overview, Available Protocols, General Ordering Workflow and Authentication, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Ginkgo Cloud Lab is an agent skill from LeonChaoX/qinyan-academic-skills. 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.
Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/cell-free-protein-expression-optimization.md`, `references/cell-free-protein-expression-validation.md` and `references/fluorescent-pixel-art-generation.md`).
It sits in Game Development, covering Sprites and pixel art. The repository describes itself as: A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development… The licence is MIT.
When your agent uses it
- The user wants to run cell-free protein expression (validation
- Generate fluorescent pixel art
- Interact with Ginkgo Cloud Lab services
Example prompts
- “/ginkgo-cloud-lab”
Workflow steps
3 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit df5a498. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
Links to these hosts (documentation or services it may open):
cloud.ginkgo.bio
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Ginkgo Cloud Lab loads about 868 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 108 tokens; SKILL.md has 332 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from LeonChaoX/qinyan-academic-skills at commit df5a498, republished under its MIT licence (© LeonChaoX). 332 words, ~868 tokens.
Download SKILL.mdSave it as
.claude/skills/ginkgo-cloud-lab/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- ginkgo-cloud-lab
- description
- 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.
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
© LeonChaoX, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in skills/13-实验室自动化与集成/ginkgo-cloud-lab of LeonChaoX/qinyan-academic-skills.
- SKILL.md
- references/cell-free-protein-expression-optimization.md
- references/cell-free-protein-expression-validation.md
- references/fluorescent-pixel-art-generation.md
Open the folder on GitHubat commit df5a498
Used in 2 other repositories
We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 2 other GitHub owners. This page covers the copy in LeonChaoX/qinyan-academic-skills, which our catalogue first saw on October 7, 2026.
Compare with similar skills
Ginkgo Cloud Lab next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ginkgo Cloud Lab this skillLeonChaoX/qinyan-academic-skills | 938 | 2 repos | ~868 | Automated safety check: Pass | MIT | |
| Ginkgo Cloud LabK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Game Asset Generatorhtdt/godogen | 7.1k | — | ~2.8k | Automated safety check: Pass | MIT | |
| Code-Drawn 2D Game Art0x0funky/agent-sprite-forge | 4.3k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Sprite Genaldegad/sprite-gen | 2.6k | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Hatch PethAcKlyc/MyAgents | 918 | 2 repos | ~9.5k | Automated safety check: Pass | Apache-2.0 |
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Questions about Ginkgo Cloud Lab
What does Ginkgo Cloud Lab do?
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). Ginkgo Cloud Lab is an agent skill from LeonChaoX/qinyan-academic-skills.bio), a web-based interface for autonomous lab execution on Reconfigurable Automation Carts (RACs).
When should I use Ginkgo Cloud Lab?
Ginkgo Cloud Lab fits situations like: the user wants to run cell-free protein expression (validation; generate fluorescent pixel art; interact with Ginkgo Cloud Lab services.
How do I install Ginkgo Cloud Lab in Claude Code?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill ginkgo-cloud-lab -a claude-code`. Or copy the skill folder (skills/13-实验室自动化与集成/ginkgo-cloud-lab in LeonChaoX/qinyan-academic-skills) into .claude/skills/ginkgo-cloud-lab in your project. Claude Code loads it when a task matches its description.
How do I install Ginkgo Cloud Lab in Codex?
Run `npx skills add LeonChaoX/qinyan-academic-skills --skill ginkgo-cloud-lab -a codex`. Or copy the skill folder (skills/13-实验室自动化与集成/ginkgo-cloud-lab in LeonChaoX/qinyan-academic-skills) into .agents/skills/ginkgo-cloud-lab in your project. Codex loads it when a task matches its description.
Can I use Ginkgo Cloud Lab in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeonChaoX/qinyan-academic-skills --skill ginkgo-cloud-lab -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ginkgo-cloud-lab, .gemini/skills/ginkgo-cloud-lab, .github/skills/ginkgo-cloud-lab and .opencode/skills/ginkgo-cloud-lab in your project.
What does Ginkgo Cloud Lab need to run?
SKILL.md names no scripts, command-line tools or credentials: Ginkgo Cloud Lab is instructions for the agent only.
Does Ginkgo Cloud Lab access the network?
SKILL.md names 1 domain. As links in the text: cloud.ginkgo.bio. This is read from the text; nothing was executed.
Is Ginkgo Cloud Lab safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Ginkgo Cloud Lab use?
Ginkgo Cloud Lab is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Ginkgo Cloud Lab use?
About 868 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.9k tokens, read only when the agent opens those files.
What are the alternatives to Ginkgo Cloud Lab?
Skills that share tags, products or a category with Ginkgo Cloud Lab: Ginkgo Cloud Lab (K-Dense-AI/scientific-agent-skills, 48k stars), Game Asset Generator (htdt/godogen, 7.1k stars), Code-Drawn 2D Game Art (0x0funky/agent-sprite-forge, 4.3k stars) and Sprite Gen (aldegad/sprite-gen, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Ginkgo Cloud Lab?
LeonChaoX (a GitHub user) maintains it in LeonChaoX/qinyan-academic-skills, which has 938 GitHub stars. The repository holds 22 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeonChaoX/qinyan-academic-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.