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.

Outlines a comprehensive, fast local development loop for applications hosted on Fly.io. It guides users through testing Docker containers locally, proxying remote services like Postgres and Redis to localhost, configuring dev environments, and performing fast deployment cycles. Essential for modern edge computing development.

This comprehensive guide covers the full lifecycle of Apify Actors, enabling deployment from local environments to production platforms. Learn to trigger scraping tasks via APIs (e.g., Next.js routes), consume structured data, and handle results asynchronously using webhooks in frameworks like Express.js. Ideal for building robust, data-driven web services and automating data pipelines.

This workflow provides a complete, end-to-end solution for building and deploying robust web scrapers using Crawlee on the Apify platform. It guides users through every stage: defining input schemas, setting up the Actor with a sophisticated router pattern, extracting structured data (e.g., product details), saving results to datasets, and managing the full lifecycle from local testing to cloud deployment via apify-cli.

This skill provides a comprehensive framework for deploying Apple Notes automation as a persistent local service on macOS. It supports three distinct deployment models: using `launchd` agents for scheduled background tasks, creating Shortcuts for user-triggered actions, and includes a robust installer script. It is essential for building cross-application, system-level automation workflows within the Apple ecosystem.

A comprehensive development workflow solution for integrating with the Glean enterprise search API. It enables developers to simulate local search responses, mock data sources, and test custom connectors and UIs without needing a live Glean deployment. Users can toggle between mock mode for rapid iteration and sandbox mode for validation against a real Glean instance, ensuring a fast feedback loop for building robust enterprise search applications.

This guide helps determine the optimal deployment strategy for Qdrant, a vector database. It compares four main options—Local Mode, Self-Hosted (Docker), Qdrant Cloud (Zero-Ops), and Qdrant EDGE—based on project requirements such as control needs, operational overhead, data residency, and required latency. Use it to decide whether to prototype, manage full infrastructure, or prioritize minimal latency.

This guide provides comprehensive steps for deploying Shopify applications (including extensions and functions) to various production cloud hosting platforms, such as Vercel, Fly.io, and Google Cloud Run. It covers critical aspects like environment configuration, setting up necessary webhooks, utilizing the Shopify CLI for deployment, and best practices for securely handling platform-specific secrets and ensuring production stability. Use this when moving a local Shopify app to a live e-commerce environment.

A comprehensive guide and workflow for deploying static websites (e.g., Vue, React, Angular, Hugo, Jekyll) from a local environment to a production server using VSCode SFTP. This skill covers setting up secure SFTP connections, generating production-ready Nginx configurations (including security headers, caching, and HTTPS redirects), and providing a complete deployment checklist for smooth CI/CD-like workflows.

A comprehensive guide for deploying, developing, and debugging Webiny serverless applications locally. Covers deployment using `yarn webiny deploy`, local watching for API and Admin components, managing various environments (dev, staging, prod), and troubleshooting infrastructure errors on AWS.

Build and operate Python Azure IoT Edge modules for telemetry processing, local inference, and protocol translation. Includes deployment, observability, and production readiness checks.

A comprehensive tool for the full lifecycle management of applications within the Lark ecosystem (Feishu/Miaoda). It supports three development paths: local full-stack development, HTML static hosting, and cloud-based AI session generation. Use this when creating, updating, deploying, or publishing any complex system, tool, or platform application.