Adaptyv Bio Foundry API

What it does

Adaptyv Bio is a cloud lab: you submit amino acid sequences, its automated facility runs assays (binding, thermostability, expression, fluorescence) and returns data in roughly 21 days. This skill gives Claude the operational knowledge to drive that platform correctly:

• Authentication with Bearer tokens, reading ADAPTYV_API_KEY from env or .env (never hardcoding secrets)
• Both usage patterns: the @lab.experiment decorator and the FoundryClient object
• Experiment type matrix (affinity, screening, thermostability, expression, fluorescence) with required BLI/SPR methods and whether a target is needed
• The full status lifecycle from Draft to Done, including who must act at each stage
• Sequence formats (simple, rich with metadata, multi-chain via colon), plus pagination, s-expression filter syntax and sort expressions
• Error handling via request_id, and Biscuit token attenuation/revocation

Who it's for

• Protein designers who want wet-lab validation of de novo binders, scFvs or antibodies
• ML engineers wiring an automated submission step onto an AI protein design pipeline
• Teams with an existing Adaptyv Foundry account managing many experiments programmatically

Examples

1. "Submit my 20 EGFR binder candidates for BLI screening, show the cost first" → target lookup, cost_estimate, create (Draft), then submit.
2. "Make this hands-off" → generates a pipeline using skip_draft, auto_accept_quote and a webhook_url that fires on every status transition.
3. "List experiments finished this year, newest first" → builds filter=and(gte(created_at,2026-01-01),eq(status,done))&sort=desc(created_at) and fetches results.

Install the skill I found on Claude Skill Mart.
Copy the skills/adaptyv folder from the GitHub repo K-Dense-AI/scientific-agent-skills into my ~/.claude/skills/adaptyv/.
When it's done, tell me in one line what this skill can do.