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Ordering a protocol on the Ginkgo cloud lab v1.0.0
Use this resource to choose and order a lab protocol on Ginkgo Cloud Lab
New
- 452 downloads
- 118 likes
- 118 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install cloud-lab-protocol-orderingWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent compares available protocols (cell-free or E. coli expression, HiBiT or A280 readouts, thermal shift and others), prepares inputs and checks the estimated price before ordering. You get a justified protocol choice and the steps to order in the browser.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: protocol catalog, protocol choice and ordering workflow
- references/: expression, purification, assay and Echo-MS method sheets
Good fit for
- You want to express a protein without setting up a lab
- You are torn between cell-free and E. coli expression
Not for
Tags
- cloud lab
- proteins
- protocols
About
You say
“Which protocol should I use to express a mini-binder in E. coli with a His tag?”
Skill published by k-dense-ai under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to choose and order a lab protocol on Ginkgo Cloud Lab
- Review and adjust the result
Content preview
Files
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- references/cell-free-protein-expression-hibit.md2.5 KB
- references/cell-free-protein-expression-optimization.md3 KB
- references/cell-free-protein-expression-validation.md2.3 KB
- references/cfps-expression-purification-quantification.md2.9 KB
- references/cfps-strep-purification-thermal-shift.md3.1 KB
- references/cfps-strep-tag-purification-a280.md2.5 KB
- references/echo-ms-cfps-detection.md2.2 KB
- references/echo-ms-method-onboarding.md2.8 KB
- references/ecoli-expression-purification-quantification.md2.7 KB
- references/ecoli-minibinder-expression-histag-a280.md2.8 KB
- references/ecoli-protein-expression-hibit.md2.4 KB
- references/ecoli-protein-expression-histag-a280.md2.4 KB
- references/fluorescent-pixel-art-generation.md3.3 KB
- references/ivt-rna-synthesis-qpcr.md2.8 KB
- references/minibinder-strep-tag-a280.md2.2 KB
- references/pichia-protein-expression-labchip.md2.5 KB
- references/plate-reader-assay-onboarding.md1.4 KB
- references/spr-target-onboarding.md2.9 KB
- SKILL.md11.1 KB
Origin and licence
Listed unmodified
- Author
- k-dense-ai
- Source
- github.com/k-dense-ai/scientific-agent-skills/tree/5f2bc0341354fd5590aef76a533ada1e1e5b4e62/skills/ginkgo-cloud-lab
- Licence
- MIT
Notice
« ginkgo-cloud-lab » (k-dense-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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