Skill UI

This comprehensive scaffold sets up a complete, modern Power Apps Code App project structure using Vite, React, and TypeScript. It guides developers through initializing the project with PAC CLI, configuring SDK integration, and setting up best practices for connecting to 1,500+ Power Platform connectors (e.g., Office 365, SharePoint, SQL Server). Ideal for building complex, code-first enterprise applications within the Power Platform ecosystem.

Generates Power Platform custom connectors with MCP integration for Copilot Studio, covering schema generation, JSON-RPC scripts, validation, troubleshooting, OAuth hardening, and CLI guidance for paconn/pac workflows.

Modal is a powerful serverless cloud platform designed specifically for running AI and Machine Learning workloads. It allows users to deploy, serve, and scale complex models (like LLMs) without managing infrastructure. Key features include on-demand access to high-end GPUs (A100, H100), serverless function scaling, persistent storage, and the ability to define entire infrastructure using pure Python code, eliminating the need for separate YAML or Dockerfiles.

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.

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.

A comprehensive guide for deploying Attio-powered applications to major production platforms including Vercel, Fly.io, Cloud Run, and Railway. This guide covers essential DevOps practices such as secure secrets injection, robust health check endpoints, webhook URL configuration, and platform-specific deployment commands to ensure reliable, production-grade integration.

This skill provides comprehensive guides for deploying stateless, serverless API wrappers powered by Claude (Anthropic). It details how to integrate and stream responses from the Messages API across major cloud environments, including Vercel Edge Functions, Fly.io, and Google Cloud Run. It is essential for productionizing AI applications that require robust secret management, scalable infrastructure, and real-time streaming capabilities.

Provides a comprehensive, production-ready reference architecture for building advanced analytics platforms powered by ClickHouse. It details everything from project layout (TypeScript/Node.js structure) and data ingestion pipelines (Kafka, Webhooks) to the optimal 3-layer schema design (Raw, Hourly, Daily) and multi-tenancy patterns, ensuring scalable and efficient OLAP query performance.