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Edge Computing
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Local Development Workflow For Fly.io
flyio-local-dev-loop
jeremylongshore/claude-code-plugins-plus-skills
125
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.
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Fly.io Deployment and Edge Computing Strategy
flyio-deploy-integration
jeremylongshore/claude-code-plugins-plus-skills
208
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.
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Fly.io SDK Patterns for Edge Deployment
flyio-sdk-patterns
jeremylongshore/claude-code-plugins-plus-skills
174
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.
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Real-Time Object Detection with Coral TPU
yolo-detection-2026-coral-tpu-win-wsl
SharpAI/DeepCamera
395
This skill provides real-time object detection capabilities by leveraging the Google Coral Edge TPU accelerator. It operates natively within Windows Subsystem for Linux (WSL), allowing high-speed, low-latency inference on live camera frames. By utilizing hardware acceleration, it achieves impressive performance (e.g., ~4ms inference at 320x320), making it ideal for edge computing projects requiring rapid visual analysis and resource efficiency.
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