Skill UI

This guide provides production-ready patterns for interacting with the Flexport REST API v2 in TypeScript and Python. It teaches crucial best practices, including implementing a singleton client for state management, handling paginated data streams, automatic retry logic, and using Zod for robust response validation, ensuring reliable logistics integrations.

This guide provides comprehensive security standards for integrating with the Flexport API. It covers critical best practices such as webhook signature verification, secure API key rotation, implementing least-privilege access controls, and data redaction for handling sensitive logistics and customs data. Essential for maintaining compliance and preventing data breaches in supply chain operations.

This skill provides comprehensive CI/CD pipeline setup for Fly.io edge deployments. It automates unit testing on pull requests, deploys to staging environments, and promotes changes to production upon merging to the main branch. It handles Docker builds, uses flyctl for deployment, and includes health checks to ensure service reliability and seamless automated delivery.

A comprehensive guide to managing the full application lifecycle on Fly.io. This workflow covers deploying applications, configuring the environment using fly.toml, managing sensitive secrets, scaling resources across multiple regions, and controlling the application's operational state (including suspension and destruction). Ideal for setting up production-grade, resilient cloud services.

This skill guides users through setting up robust, production-grade infrastructure on Fly.io. It covers creating and connecting to Fly Postgres clusters for reliable data storage, provisioning persistent NVMe Volumes for durable file storage, and configuring private internal networking (6PN) for secure service-to-service communication. It is essential for modern microservices requiring stable databases and persistent state.

This comprehensive bundle collects all necessary diagnostic evidence for Fly.io applications, including machine status, application logs, volume metadata, and network diagnostics. It is crucial for generating detailed support tickets and troubleshooting complex infrastructure issues such as stuck deployments, boot failures, or edge networking problems.

This skill provides advanced integration for deploying applications on Fly.io, focusing on edge computing architectures. It covers building production-ready Docker images, configuring `fly.toml` for services and health checks, and executing sophisticated deployment strategies like blue-green and canary releases. It ensures reliable, scalable deployment across multiple regions, including automated rollbacks and micro-VM optimization.

This guide demonstrates how to deploy a minimal "Hello World" application to the Fly.io platform. It covers two primary deployment methods: using the simple `flyctl` Command Line Interface (CLI) for quick setup, and utilizing the advanced Machines API for programmatic deployment. This skill is ideal for beginners starting a new Fly.io project, or for implementing robust, globally distributed edge compute infrastructure.

This guide provides comprehensive strategies to significantly boost the performance and reliability of applications deployed on Fly.io. Techniques covered include eliminating cold starts (auto-stop/start), right-sizing Virtual Machines based on workload demands, implementing multi-region deployment for low latency, and optimizing connection pooling for databases. Essential for scaling modern SaaS applications.

This comprehensive checklist guides developers through hardening their application for production deployment on Fly.io. It covers critical aspects such as multi-region redundancy, secure secret management, robust health checks, graceful shutdown procedures, and automated rollback mechanisms. Use it to ensure your edge-deployed application is highly available, reliable, and resilient against common operational failures.

This utility provides comprehensive solutions for managing rate limits when interacting with the Fly.io Machines API. It implements advanced patterns like Token Bucket rate limiting, exponential backoff, and request batching. This ensures that automation scripts remain robust and reliable, even during high-churn operations such as large-scale deployments or auto-scaling events, preventing common 429 throttle errors.

A comprehensive TypeScript SDK providing production-ready patterns for interacting with the Fly.io Machines REST API. It includes a typed client for managing the entire machine lifecycle—creation, state polling, and deletion—across multiple global regions. Features like robust error handling, rate-limit retries, and deployment builders ensure reliable multi-region orchestration for edge computing applications.