Skip to content
Get packs

Adaptyv Protein Lab Assistant

Design protein assay experiments and submit them to Adaptyv's cloud lab via API

Source Download skill
Repository
K-Dense-AI/scientific-agent-skills
Stars
55,780
Licence
MIT
Files
2 files

What it does

Lets an AI agent work with Adaptyv Bio Foundry, a cloud laboratory that measures protein binding, stability, expression and enzyme activity. Once installed, the agent can search the target catalog, estimate experiment costs, create and submit a batch of protein sequences, track lab progress, and download results, following the skill's guidance on checking controls, replicates and quotes before anything is paid for.

Great for

  • Researchers who send protein candidates to a wet lab for binding or stability screening
  • Developers building scripts or pipelines against the Adaptyv REST API or Python SDK
  • Lab teams who want an agent to check cost estimates and experiment specs before a human approves a quote

Skip it if

  • Anyone wanting to run experiments without a paid Adaptyv Foundry account, since the skill cannot use the service without a bearer token and money is involved in quotes and invoices
  • Unreviewed automated purchasing: the skill itself warns that confirming a quote creates an invoice, so agents should not confirm quotes without explicit human authorization
  • Work outside Adaptyv's service, since the guidance is specific to its API, catalog and SDK version 0.1.0

Try asking

  • “Search the Adaptyv target catalog for EGFR and compare vendors and catalog numbers”
  • “Estimate the cost of a binding screening batch for my candidate sequences in candidates.json”
  • “Create a draft experiment, submit it, and check whether the quote is ready”
  • “Download all results for a completed experiment as JSON and save them for archiving”
Step-by-step guide: how to use Adaptyv Protein Lab AssistantInstall, first run, examples, tips and FAQs

Install in 3 steps

  1. 1

    Download the skill

    The ZIP contains the 2 original files, the MIT licence and an attribution note.

    adaptyv.zip
  2. 2

    Add it to your agent

    Claude Code (all projects)

    mkdir -p ~/.claude/skills && unzip adaptyv.zip -d ~/.claude/skills/

    Claude Code / Agent SDK (this project only)

    mkdir -p .claude/skills && unzip adaptyv.zip -d .claude/skills/

    Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.

  3. 3

    Ask for the task

    No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.

Get better results

  • Always review the target, construct, controls and replicate count before submitting, because turnaround and cost depend on them; use the cost estimate and get explicit approval before calling create, submit or confirm_quote
  • Use a Viewer-role token for browsing and reading results, and keep Member-role tokens for experiment writes, so an agent cannot accidentally change experiments with a read-only key
  • Read the endpoint reference in references/api-endpoints.md for known differences between the upstream examples and the live API before writing code

What's inside

  • references/api-endpoints.md
  • SKILL.md

Redistributed unmodified from K-Dense-AI/scientific-agent-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.