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Found 1,579 Skills
Netlify JAMstack deployment platform with serverless functions, forms, and identity
Use when setting up CI/CD pipelines, containerizing applications, deploying to Kubernetes, or writing infrastructure as code. DevOps & Deployment covers GitHub Actions, Docker, Helm, and Terraform patterns.
Archive deployment records with merged common+environment config context (including remote port) for Makefile-first deployment workflow.
Implement canary deployment strategies to gradually roll out new versions to subset of users with automatic rollback based on metrics.
Implement blue-green deployment strategies for zero-downtime releases with instant rollback capability and traffic switching between environments.
Svelte deployment guidance. Use for adapters, Vite config, pnpm setup, library authoring, PWA, or production builds.
Containerize and deploy Node.js applications with Docker including multi-stage builds, Docker Compose, and production optimization
Deploy GPU workloads to RunPod serverless and pods - vLLM endpoints, A100/H100 setup, scale-to-zero, cost optimization. Use when: deploy to RunPod, GPU serverless, vLLM endpoint, scale to zero, A100 deployment, H100 setup, serverless handler, GPU cost optimization.
Execute deployment through Makefile targets with ENV_MODE and optional VERSION overrides. Use when running real deployment or dry-run preview in Makefile-first workflow.
Lint Docker Compose files for Makefile-first deployment environments using .deploy.env.common + .deploy.env.<ENV_MODE>. Use when validating local/test/prod/custom compose files for image/build declaration, restart, healthcheck, logging, and external network settings.
Normalize and validate deployment version under Makefile-first workflow. Use when reading or validating version for test/prod/custom environments before make-based deployment.
Invoke orq.ai deployments, agents, and models via the Python SDK or HTTP API. Use when a user wants to call a deployment with prompt variables, invoke an agent in a conversation, or call a model directly through the AI Router. Do NOT use for creating or editing deployments/agents (use optimize-prompt or build-agent). Do NOT use for running evaluations (use run-experiment).