Total 31,015 skills, DevOps & Cloud Services has 1914 skills
Showing 12 of 1914 skills
Executes Python scripts, tests, or benchmarks on a provisioned remote cluster (GPU or TPU) using SkyPilot. Use this skill when the user asks to run code on GPU, TPU, or any "remote" cluster.
Set up self-hosted Inngest on macOS as a durable background task manager for AI agents. Interactive Q&A to match intent — from Docker one-liner to full k8s deployment with persistent state. Use when: 'set up inngest', 'background tasks', 'durable workflows', 'self-host inngest', 'event-driven functions', 'cron jobs', or any request for a local workflow engine.
This skill should be used when running CI checks iteratively and fixing failures. Use when executing make targets (fast-ci, all-ci, ci), iterating on lint/format/type/test errors, or needing the devrun agent pattern for pytest/ty/ruff/prettier/make/gt commands.
Cloud GPU processing via RunPod serverless. Use when setting up RunPod endpoints, deploying Docker images, managing GPU resources, troubleshooting endpoint issues, or understanding costs. Covers all 5 toolkit images (qwen-edit, realesrgan, propainter, sadtalker, qwen3-tts).
Guides Docker, CI/CD pipelines, deployment strategies, infrastructure as code, and observability setup. Use when writing Dockerfiles, configuring GitHub Actions, planning deployments, setting up monitoring, or when asked about containers, pipelines, Terraform, or production infrastructure.
AWS EC2 virtual machine management for instances, AMIs, and networking. Use when launching instances, configuring security groups, managing key pairs, troubleshooting connectivity, or automating instance lifecycle.
Execute production deployment checklist for Sentry integration. Use when preparing for production deployment, reviewing Sentry configuration, or verifying production readiness. Trigger with phrases like "sentry production", "deploy sentry", "sentry checklist", "sentry go-live".
Debug Docker containers, fix Dockerfile issues, optimize images, and troubleshoot docker-compose. Use when having Docker problems, container issues, or optimizing Docker builds.
Generate Compose configs with services, networking, volumes, and health checks
Interacts with the Jenkins CI to get build and test job results
Production-ready starter project for React + Cloudflare Workers + Hono with core services (D1, KV, R2, Workers AI) and optional advanced features (Clerk Auth, AI Chat, Queues, Vectorize). Complete with planning docs, session handoff protocol, and enable scripts for opt-in features. Use when: starting new full-stack project, creating Cloudflare app, scaffolding web app, AI-powered application, chat interface, RAG application, need complete starter, avoid setup time, production-ready template, full-stack boilerplate, React Cloudflare starter. Prevents: service configuration errors, binding setup mistakes, frontend-backend connection issues, CORS errors, auth integration problems, AI SDK setup confusion, missing planning docs, incomplete project structure, hours of initial setup. Keywords: cloudflare scaffold, full-stack starter, react cloudflare, hono template, production boilerplate, AI SDK integration, workers AI, complete starter project, D1 KV R2 setup, web app template, chat application scaffold, RAG starter, planning docs included, session handoff, tailwind v4 shadcn, typescript starter, vite cloudflare plugin, all services configured
Query and interact with Prometheus HTTP API for monitoring data. Use when Claude needs to query Prometheus metrics, execute PromQL queries, retrieve targets/alerts/rules status, access metadata about series/labels, manage TSDB operations, or troubleshoot monitoring infrastructure. Supports instant queries, range queries, metadata endpoints, admin APIs, and alerting information.