adaptyv
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.
What this skill does
# Adaptyv 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. ## Quick Start ### Authentication Setup Adaptyv requires API authentication. Set up your credentials: 1. Contact [email protected] to request API access (platform is in alpha/beta) 2. Receive your API access token 3. Set environment variable: ```bash export ADAPTYV_API_KEY="your_api_key_here" ``` Or create a `.env` file: ``` ADAPTYV_API_KEY=your_api_key_here ``` ### Installation Install the required package using uv: ```bash uv pip install requests python-dotenv ``` ### Basic Usage Submit protein sequences for testing: ```python 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"] ``` ## Available Experiment Types Adaptyv supports multiple assay types: - **Binding assays** - Test protein-target interactions using biolayer interferometry - **Expression testing** - Measure protein expression levels - **Thermostability** - Characterize protein thermal stability - **Enzyme activity** - Assess enzymatic function See `reference/experiments.md` for detailed information on each experiment type and workflows. ## Protein Sequence Optimization Before submitting sequences, optimize them for better expression and stability: **Common issues to address:** - Unpaired cysteines that create unwanted disulfides - Excessive hydrophobic regions causing aggregation - Poor solubility predictions **Recommended tools:** - NetSolP / SoluProt - Initial solubility filtering - SolubleMPNN - Sequence redesign for improved solubility - ESM - Sequence likelihood scoring - ipTM - Interface stability assessment - pSAE - Hydrophobic exposure quantification See `reference/protein_optimization.md` for detailed optimization workflows and tool usage. ## API Reference For complete API documentation including all endpoints, request/response formats, and authentication details, see `reference/api_reference.md`. ## Examples For concrete code examples covering common use cases (experiment submission, status tracking, result retrieval, batch processing), see `reference/examples.md`. ## Important Notes - Platform is currently in alpha/beta phase with features subject to change - Not all platform features are available via API yet - Results typically delivered in ~21 days - Contact [email protected] for access requests or questions - Suitable for high-throughput AI-driven protein design workflows
Related in Design
contribute
IncludedLocal-only OSS contribution command center. Auto-refreshes the user's in-flight PR and issue state on invoke so conversations start with full context — no need to brief Claude on what's in flight. Helps the user find issues to contribute to on GitHub, builds per-repo dossiers of what each upstream expects (CLA, DCO, branch convention, AI policy, draft-first, review bots, issue templates), runs deterministic gates before any external action so AI-assisted contributions don't reach maintainers as slop. State is markdown-only: candidate files at ~/.contribute-system/candidates/, repo dossiers at ~/.contribute-system/research/, append-only event log at ~/.contribute-system/log.jsonl. No database, no cloud calls. Use when the user asks about their PRs / issues / contributions, wants to find new work to take on, claim an issue, build/refresh a repo's dossier, or draft a Design Issue or PR. Trigger with "/contribute", "what's my PR status", "find a contribution", "claim issue X", "draft a Design Issue for Y", "refresh dossier for Z".
architectural-analysis
IncludedUser-triggered deep architectural analysis of a codebase or scoped subtree across eight modes — information architecture, data flow, integration points, UI surfaces, interaction patterns, data model, control flow, and failure modes. This skill should be used when the user asks to "diagram this codebase," "map the architecture," "show the data flow," "give me an ERD," "trace control flow," "find the integration points," "verify the layout pattern," "audit the UX architecture," or any similar request whose primary deliverable is mermaid diagrams plus cited reports under docs/architecture/. Dispatches haiku/sonnet sub-agents in parallel for per-mode exploration, then verifies every citation mechanically before any node lands in a diagram. Not for one-off prose explanations of code (use code-explanation) or for high-level system design from scratch (use system-design).
mcp
IncludedModel Context Protocol (MCP) server development and tool management. Languages: Python, TypeScript. Capabilities: build MCP servers, integrate external APIs, discover/execute MCP tools, manage multi-server configs, design agent-centric tools. Actions: create, build, integrate, discover, execute, configure MCP servers/tools. Keywords: MCP, Model Context Protocol, MCP server, MCP tool, stdio transport, SSE transport, tool discovery, resource provider, prompt template, external API integration, Gemini CLI MCP, Claude MCP, agent tools, tool execution, server config. Use when: building MCP servers, integrating external APIs as MCP tools, discovering available MCP tools, executing MCP capabilities, configuring multi-server setups, designing tools for AI agents.
react-native-skia
IncludedDesign, build, debug, and optimise high-polish animated graphics in React Native or Expo using @shopify/react-native-skia, Reanimated, and Gesture Handler. Use when the user wants canvas-driven UI, shaders, paths, rich text, image filters, sprite fields, Skottie, video frames, snapshots, web CanvasKit setup, or performance tuning for custom motion-heavy elements such as loaders, hero art, cards, charts, progress indicators, particle systems, or gesture-driven surfaces. Also use when the user asks for fluid, glow, glass, blob, parallax, 60fps/120fps, or GPU-friendly animated effects in React Native, even if they do not explicitly say "Skia". Do not use for ordinary form/layout work with standard views.
plaid
IncludedProduct Led AI Development — guides founders from idea to launched product. Six capabilities: Idea (discover a product idea), Validate (pressure-test the idea against fatal flaws, problem reality, competition, and 2-week MVP feasibility), Plan (vision intake + document generation), Design (translate image references into a design.md spec), Launch (go-to-market strategy), and Build (roadmap execution). Use when someone says "PLAID", "plaid idea", "help me find an idea", "product idea", "idea from my business", "idea from my expertise", "plaid validate", "validate my idea", "pressure-test", "is this idea good", "find fatal flaws", "validate the problem", "plan a product", "define my vision", "generate a PRD", "product strategy", "plaid design", "design from image", "translate image to design", "create design.md", "extract design tokens", "plaid launch", "go-to-market", "launch plan", "GTM strategy", "launch playbook", "plaid build", "build the app", "start building", or "execute the roadmap".
nextjs-framer-motion-animations
IncludedAdds production-safe Motion for React or Framer Motion animations to Next.js apps, including reveal, hover and tap micro-interactions, whileInView, stagger, AnimatePresence, layout and layoutId transitions, reorder, scroll-linked UI, and lightweight route-content transitions. Use when the user asks to add, refactor, or debug Motion or Framer Motion in App Router or Pages Router codebases, especially around server/client boundaries, reduced motion, LazyMotion, bundle size, hydration, or route transitions. Avoid for GSAP-style timelines, WebGL or 3D scenes, heavy scroll storytelling, or CSS-only effects unless Motion is explicitly requested.