Skill UI

A comprehensive guide and set of tools for establishing a local development workflow tailored for CoreWeave GPU deployments. This includes steps for building Docker containers, validating Kubernetes YAML manifests using dry-run, and managing the full deployment lifecycle for AI inference services before pushing to the cloud.

This skill provides comprehensive instructions and code examples for deploying Figma-powered applications, such as webhook receivers and design token APIs, to various production platforms including Vercel, Google Cloud Run, and Fly.io. It covers best practices for secret management, setting up robust webhooks, and implementing health checks to ensure reliable operation in a production environment.

This skill provides instructions for deploying Flexport logistics integrations across various cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It is essential for setting up reliable, always-on webhook receivers, shipment tracking dashboards, and background workers necessary for comprehensive supply chain automation services in a production environment.

This skill provides a complete solution for deploying Glean custom connectors as scheduled jobs on container platforms (e.g., Cloud Run). It covers building a production-ready Docker image to manage document ingestion, custom data source connectivity, and search query execution. Includes robust health checks and rolling update strategies to ensure continuous, high-availability indexing for enterprise search environments.

Provides comprehensive instructions and code examples for deploying Bright Data-powered scraping applications to major cloud platforms, including Vercel, Fly.io, and Google Cloud Run. This guide covers critical aspects such as managing environment secrets, configuring proxy connectivity (TCP ports 33335/9222), and adapting code for serverless vs. long-running environments, ensuring successful production deployment.

Facilitates the secure deployment of Adobe-powered applications across multiple modern cloud environments, including Vercel (serverless), Google Cloud Run (containers), and Adobe App Builder. This integration manages complex OAuth credential injection and sets up health monitoring endpoints, making it ideal for moving Adobe API integrations into production systems.

This guide provides comprehensive instructions for deploying AssemblyAI-powered transcription services to major cloud platforms like Vercel, Google Cloud Run, and Fly.io. It covers essential steps including secure secret management, setting up webhook endpoints for asynchronous notifications, and implementing streaming token endpoints for real-time client use in production environments.

This integration facilitates the secure deployment of Alchemy-powered decentralized applications (dApps) across major cloud platforms like Vercel and Google Cloud Run. It is designed to ensure that sensitive Alchemy API keys are treated as server-side secrets, preventing client-side exposure. Use this when setting up backend services, RPC proxies, or deploying production-grade Web3 applications requiring secure access to blockchain data.

This guide provides a comprehensive workflow for deploying Algolia-powered search applications to various cloud platforms, including Vercel, Fly.io, and Google Cloud Run. It covers best practices for API key separation (Admin vs. Search-Only), setting up environment variables, and implementing both backend API routes and advanced frontend components using React InstantSearch or vanilla JavaScript.

This skill guides the deployment of the Anima design-to-code service as a backend API endpoint. It is essential for building microservices that convert Figma designs into functional code, suitable for internal design tools or production APIs. Supports deployment via Vercel and Google Cloud Run.

This skill guides the secure deployment of Claude API integrations into production cloud environments. It provides comprehensive instructions for implementing services across multiple infrastructures, including Docker, GCP Cloud Run, and Kubernetes. The guide covers best practices such as secret management, health checks, and reliable rollback procedures to ensure high service reliability.

This guide details how to set up and test Apify Actors locally using the Apify CLI. It emulates the full platform environment (including datasets, key-value stores, and request queues), allowing developers to run scrapers, test data handling, and debug the entire development lifecycle before deploying to the cloud. Perfect for rapid iteration and rigorous local testing.