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CoreWeave Multi-Environment Deployment

coreweave-multi-env-setup

jeremylongshore/claude-code-plugins-plus-skills

This guide details setting up and managing CoreWeave GPU cloud infrastructure across Development, Staging, and Production environments. It ensures strict resource separation using dedicated Kubernetes namespaces for GPU quotas and scaling policies. Use this when deploying complex ML/AI workloads requiring robust environment isolation and controlled promotion workflows.

CoreWeave GPU Workload Monitoring

coreweave-observability

jeremylongshore/claude-code-plugins-plus-skills

This skill provides comprehensive observability for CoreWeave's GPU-intensive workloads running on Kubernetes. It monitors critical operational metrics, including GPU utilization, memory usage, inference latency (p99), and job completion rates. Use it for setting up DCGM metrics dashboards, configuring proactive alerts for underutilization or Out-Of-Memory (OOM) conditions, and ensuring high reliability for AI/ML deployments.

CoreWeave GPU Performance Tuning Guide

coreweave-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

This guide provides expert strategies for optimizing GPU inference performance on CoreWeave infrastructure. It covers GPU selection based on workload (LLM, image generation, training), advanced techniques like continuous batching (using vLLM), autoscaling setup (HPA), and benchmarking data. Use this to maximize GPU utilization, minimize latency, and optimize large-scale AI model deployment.

CoreWeave Production Deployment Checklist

coreweave-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist for ensuring GPU workloads, such as inference services or model training pipelines, are fully prepared for production deployment on CoreWeave. It covers critical MLOps and DevOps aspects including autoscaling, resource limits, security policies, persistent storage validation, monitoring setup, and rollback procedures.

Securing CoreWeave GPU Workloads

coreweave-security-basics

jeremylongshore/claude-code-plugins-plus-skills

Provides comprehensive guidelines for securing CoreWeave cloud deployments on Kubernetes. Covers critical security areas including credential management, implementing Role-Based Access Control (RBAC), enforcing network isolation policies, and handling sensitive secrets for ML model access. Essential for hardening GPU workloads and protecting data in cloud environments.

ElevenLabs Production Deployment Checklist

elevenlabs-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

A comprehensive checklist guiding the safe and robust deployment of Text-to-Speech (TTS) integrations powered by ElevenLabs into a live production environment. It covers critical steps including API configuration, implementing health checks, setting up circuit breakers for resilience, and establishing thorough monitoring and rollback procedures, ensuring reliable voice feature go-live.

Fathom CI/CD Integration Testing

fathom-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Establishes comprehensive Continuous Integration and Continuous Deployment (CI/CD) workflows for Fathom meeting intelligence. This setup includes unit tests using mocked transcripts to validate data parsing logic and robust integration tests that connect to the live Fathom API. It ensures the reliability of webhooks and data processing for real-time meeting summaries and action items upon every pull request or merge.

Finta CI/CD Testing Automation

finta-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

Automates the Continuous Integration (CI) and Continuous Deployment (CD) pipeline for Finta fundraising CRM data. It runs mocked unit tests on every pull request (PR) and executes comprehensive integration tests against the live API upon merging to the main branch. This ensures the integrity of data synchronization logic, pipeline stage transitions, and automated investor reporting workflows.

Fly.io CI/CD Deployment Workflow

flyio-ci-integration

jeremylongshore/claude-code-plugins-plus-skills

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.

Deploying Hello World to Fly.io

flyio-hello-world

jeremylongshore/claude-code-plugins-plus-skills

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.

Optimize Fly.io Application Performance

flyio-performance-tuning

jeremylongshore/claude-code-plugins-plus-skills

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.

Fly.io Production Readiness Checklist

flyio-prod-checklist

jeremylongshore/claude-code-plugins-plus-skills

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.

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