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SKILL.md

adaptyv

Agent skill fromforyourhealth111-pixel/Vibe-Skills

Cloud laboratory platform for automated protein testing and validation. Use when designing proteins and needing experimental validation including binding assays, expression testing, thermostability measurements, enzyme activity assays, or protein sequence optimization. Also use for submitting experiments via API, tracking experiment status, downloading results, optimizing protein sequences for better expression using computational tools (NetSolP, SoluProt, SolubleMPNN, ESM), or managing protein design workflows with wet-lab validation.

How to install adaptyv

install adaptyv
# install the Vibe-Skills pack with the skills CLI
npx skills add foryourhealth111-pixel/Vibe-Skills

# or add only this skill to Claude Code: copy the folder

bundled/skills/adaptyv/

# into

~/.claude/skills/adaptyv/ (all projects)

.claude/skills/adaptyv/ (one project)

bundled/skills/adaptyv/SKILL.md

Apache-2.0Full file
1# Adaptyv
2
3Adaptyv is a cloud laboratory platform that provides automated protein testing and validation services. Submit protein sequences via API or web interface and receive experimental results in approximately 21 days.
4
5## Quick Start
6
7### Authentication Setup
8
9Adaptyv requires API authentication. Set up your credentials:
10
111. Contact support@adaptyvbio.com to request API access (platform is in alpha/beta)
122. Receive your API access token
133. Set environment variable:
14
15```bash
16export ADAPTYV_API_KEY="your_api_key_here"
17```
18
19Or create a `.env` file:
20
21```
22ADAPTYV_API_KEY=your_api_key_here
23```
24
25### Installation
26
27Install the required package using uv:
28
29```bash
30uv pip install requests python-dotenv
31```
32
33### Basic Usage
34
35Submit protein sequences for testing:
36
37```python
38import os
39import requests
40from dotenv import load_dotenv
41
42load_dotenv()
43
44api_key = os.getenv("ADAPTYV_API_KEY")
45base_url = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"
46
47headers = {
48 "Authorization": f"Bearer {api_key}",
49 "Content-Type": "application/json"
50}
51
52# Submit experiment
53response = requests.post(
54 f"{base_url}/experiments",
55 headers=headers,
56 json={
57 "sequences": ">protein1\nMKVLWALLGLLGAA...",
58 "experiment_type": "binding",
59 "webhook_url": "https://your-webhook.com/callback"
60 }
61)
62
63experiment_id = response.json()["experiment_id"]
64```
65
66## Available Experiment Types
67
68Adaptyv supports multiple assay types:
69…

Excerpt shown under the repository's Apache-2.0 license.

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