LQF_Machine_Learning_E…
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine…
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
Claude Code
$ npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill adaptyv --agent claude-code
Codex
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill adaptyv -a codex -y
Cursor
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Gemini CLI
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill adaptyv -a gemini-cli -y
GitHub Copilot
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill adaptyv -a github-copilot -y
OpenCode
$ npx skills add foryourhealth111-pixel/Vibe-Skills --skill adaptyv -a opencode -y
Windsurf
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name: adaptyv description: 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.
Adaptyv 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.
Adaptyv requires API authentication. Set up your credentials:
1. Contact support@adaptyvbio.com to request API access (platform is in alpha/beta) 2. Receive your API access token 3. Set environment variable:
export ADAPTYV_API_KEY="your_api_key_here"
Or create a `.env` file:
ADAPTYV_API_KEY=your_api_key_here
Install the required package using uv:
uv pip install requests python-dotenv
Submit protein sequences for testing:
import os
import requests
from dotenv import load_dotenv
load_dotenv()
api_key = os.getenv("ADAPTYV_API_KEY")
base_url = "https://kq5jp7qj7wdqklhsxmovkzn4l40obksv.lambda-url.eu-central-1.on.aws"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
# Submit experiment
response = requests.post(
f"{base_url}/experiments",
headers=headers,
json={
"sequences": ">protein1\nMKVLWALLGLLGAA...",
"experiment_type": "binding",
"webhook_url": "https://your-webhook.com/callback"
}
)
experiment_id = response.json()["experiment_id"]Adaptyv supports multiple assay types:
See `reference/experiments.md` for detailed information on each experiment type and workflows.
Before submitting sequences, optimize them for better expression and stability:
**Common issues to address:**
**Recommended tools:**
See `reference/protein_optimization.md` for detailed optimization workflows and tool usage.
For complete API documentation including all endpoints, request/response formats, and authentication details, see `reference/api_reference.md`.
For concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see `reference/examples.md`.
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