A dedicated integration designed to automate protein experiment design, submission, and assay results retrieval using the Adaptyv Bio Foundry API and Python SDK.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install adaptyv
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install adaptyv using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Adaptyv Bio Foundry?
The Adaptyv Bio Foundry API skill bridges computational biology and physical wet-lab automated infrastructure, converting digital protein sequences into tangible experimental results in roughly 21 days. This tool enables developers and researchers to design sequences, evaluate targets, request instant cost estimates, and manage live experiments programmatically. By using this powerful integration from the Openclaw Skills registry, computational agents can drive automated laboratory processes directly from code.
Whether you are executing high-throughput screening or fine-tuning affinity measurements via BLI or SPR assays, this skill provides standard SDK workflows and robust API schemas. Incorporating Openclaw Skills into your automated discovery pipelines minimizes manual coordination overhead, accelerating experimental iterations and biological research.
Adaptyv Bio Foundry Use Cases
- Design and submit custom amino acid sequences for high-throughput protein screening experiments.
- Programmatically monitor target binding kinetics (KD, kon, koff) using SPR/BLI assays.
- Automate thermostability measurements and expression yield verification inside agentic software cycles.
- Retrieve structured experimental results and import raw assay data directly into machine learning pipelines.
How Adaptyv Bio Foundry Works
- Authenticate and Initialize: Configure secure environment variables and initialize the Python SDK client using Biscuit-based attenuated tokens.
- Identify Target & Estimate Cost: Browse available targets programmatically and submit sequence designs to obtain real-time experimental cost estimates.
- Submit Experiment: Create an experiment using the Client Pattern or decorator models, transitioning from a Draft to an active queue directly via the API.
- Lifecycle Tracking: Monitor real-time progress via polling or webhook URLs as the wet-lab advances through materials acquisition, production, and QC analysis.
- Harvest Results: Retrieve final assay data points once the status transitions to Done.
Adaptyv Bio Foundry Setup
Configure your local environment to interact with the Adaptyv Bio Foundry API. First, secure your credentials within a .env file:
export ADAPTYV_API_KEY="your_api_token_here"
export ADAPTYV_API_URL="https://foundry-api-public.adaptyvbio.com/api/v1"
Next, install the required SDK tool. If using uv, run:
uv add adaptyv-sdk
Or fallback to standard pip installation in Python environments:
pip install adaptyv-sdk
For rapid testing, you can authenticate and run a quick query using standard tools:
curl https://foundry-api-public.adaptyvbio.com/api/v1/targets?limit=3 -H "Authorization: Bearer $ADAPTYV_API_KEY"
Adaptyv Bio Foundry Data Schema & Taxonomy
Experiment Schema Specifications
Experiments require target associations and sequence lists depending on the assay type. The data supports structured sequences in simple or rich metadata formats:
| Parameter | Format / Syntax | Notes |
|---|---|---|
| Simple Sequence | {"seq1": "EVQL..."} |
Case-insensitive single-letter code formats. |
| Rich Sequence | {"seq1": {"aa_string": "EVQL...", "control": false, "metadata": {}}} |
Allows structured JSON metadata payloads. |
| Multi-Chain | "MVLS:EVQL" |
Uses a colon separator to bind multiple chains. |
Experiment Types Reference
| Type | Method | Measures | Requires Target |
|---|---|---|---|
affinity |
bli or spr |
KD, kon, koff kinetics | Yes |
screening |
bli or spr |
Yes/no binding | Yes |
thermostability |
— | Melting temperature (Tm) | No |
expression |
— | Expression yield | No |
fluorescence |
— | Fluorescence intensity | No |
Adaptyv Bio Foundry Advanced Features
- Decorator-Based Laboratory Execution: Run functional code blocks directly decorated with
@lab.experiment(...)to map inputs to physical assay orders. - Attenuated Security Controls: Generate highly restricted, temporary tokens using cryptographic Biscuit attenuation scoped by resources, actions, and expiry.
- S-Expression Filter Engine: Run deep server-side searches, sorting, and JSONB filtering on historical experiment metrics and metadata fields.
- Webhooks Integration: Automatically trigger downstream operations inside Openclaw Skills by registering webhooks that alert on every lifecycle stage change.
SKILL.md
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