Ginkgo Cloud Lab
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add K-Dense-AI/scientific-agent-skills --skill ginkgo-cloud-labCompatible with
Supported agents
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 ru..."
| 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. |
| metadata | version: "1.0" |
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.
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.
DoE-based optimization across up to 24 conditions per protein (lysates, temperatures, chaperones, disulfide enhancers, cofactors). Designed for difficult-to-express and membrane proteins.
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.
For protocols not listed above, use the EstiMate chat to describe a custom protocol in plain language and receive compatibility assessment and pricing.
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.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionginkgo-cloud-labExecute the skills CLI command in your project's root directory to begin installation:
epx add K-Dense-AI/scientific-agent-skills --skill ginkgo-cloud-labFetches ginkgo-cloud-lab from K-Dense-AI/scientific-agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/ginkgo-cloud-lab
Restart Cursor to activate ginkgo-cloud-lab. Access via /ginkgo-cloud-labin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
scientific-brainstorming
K-Dense-AI/scientific-agent-skills · Science · same repo
infographics
K-Dense-AI/scientific-agent-skills · Science · same repo
scientific-writing
K-Dense-AI/scientific-agent-skills · Science · same repo
transformers
K-Dense-AI/scientific-agent-skills · Science · same repo
timesfm-forecasting
K-Dense-AI/scientific-agent-skills · Science · same repo
markdown-mermaid-writing
K-Dense-AI/scientific-agent-skills · Science · same repo
Useful defaults in ginkgo-cloud-lab — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
ginkgo-cloud-lab has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in ginkgo-cloud-lab — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added ginkgo-cloud-lab from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Keeps context tight: ginkgo-cloud-lab is the kind of skill you can hand to a new teammate without a long onboarding doc.
ginkgo-cloud-lab is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ginkgo-cloud-lab is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
ginkgo-cloud-lab reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for ginkgo-cloud-lab matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in ginkgo-cloud-lab — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 43