Adaptyv

Teaches Claude how to interact with Adaptyv Bio's cloud lab API for turning protein sequences into experimental data. You submit amino acid sequences via Python SDK or REST calls, and their automated lab runs binding assays (BLI/SPR), thermostability screens, expression tests, or fluorescence measurements, delivering results in about three weeks. The skill covers the full lifecycle from browsing self-service targets and cost estimation through experiment submission and results retrieval. Useful if you're doing computational protein design and need wet lab validation without building your own infrastructure. The SDK is still beta and installed from GitHub, not PyPI, so expect some rough edges around setup.

skills.sh installs: 2K
GitHub stars: 56.6K
last updated: Aug 21, 2026

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Install

$ npx -y skills add k-dense-ai/scientific-agent-skills --skill adaptyv --agent claude-code

Installs into .claude/skills of the current project.

Files

Adaptyv Bio Foundry API

Use this skill to turn protein sequences into experimentally measured data through Adaptyv's cloud laboratory. Confirm the target construct, assay conditions, controls, and replicate plan before submitting a batch; turnaround depends on the experiment.

Reviewed against the deployed OpenAPI schema (info.version: 0.0.2) and official SDK 0.1.0 at commit cdf207819ed5a58e0c127453626d2bce125c8064. The schema version alone does not identify all changes. See the endpoint reference for current request/response details and discrepancies in upstream examples.