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Found 191 Skills
Docker and Docker Compose mastery for containers, images, networks, volumes, and debugging. Use when user asks to "build a container", "run docker", "debug container", "write dockerfile", "docker compose up", "check container logs", "optimize docker image", or any container operations.
Expert in deploying backends to EC2 instances using CI/CD pipelines, Docker containers, and GitHub Actions
Builds and launches Docker containers with health verification using best practices
Provides comprehensive guidance for Docker including container creation, images, Dockerfile, docker-compose, and container management. Use when the user asks about Docker, needs to create Docker containers, build Docker images, or manage containerized applications.
This skill should be used when containerizing applications with Docker, creating Dockerfiles, docker-compose configurations, or deploying containers to various platforms. Ideal for Next.js, React, Node.js applications requiring containerization for development, production, or CI/CD pipelines. Use this skill when users need Docker configurations, multi-stage builds, container orchestration, or deployment to Kubernetes, ECS, Cloud Run, etc.
This skill provides comprehensive knowledge for building applications with Cloudflare Sandboxes SDK, which enables secure, isolated code execution in full Linux containers at the edge. It should be used when executing untrusted code, running Python/Node.js scripts, performing git operations, building AI code execution systems, creating interactive development environments, or implementing CI/CD workflows that require full OS capabilities. Use when: Setting up Cloudflare Sandboxes, executing Python/Node.js code safely, managing stateful development environments, implementing AI code interpreters, running shell commands in isolation, handling git repositories programmatically, building chat-based coding agents, creating temporary build environments, processing files with system tools (ffmpeg, imagemagick, etc.), or when encountering issues with container lifecycle, session management, or state persistence. Keywords: cloudflare sandbox, container execution, code execution, isolated environment, durable objects, linux container, python execution, node execution, git operations, code interpreter, AI agents, session management, ephemeral container, workspace, sandbox SDK, @cloudflare/sandbox, exec(), getSandbox(), runCode(), gitCheckout(), ubuntu container
DDEV local development environment guidance for Docker-based PHP/Node projects. Use when: (1) running CLI tools (composer, npm, wp, drush, artisan, console, etc.) in a DDEV project, (2) executing commands inside DDEV containers, (3) working in a subdirectory of a DDEV project (e.g., wp-content/plugins/my-plugin), (4) managing databases, snapshots, or project lifecycle with DDEV, (5) any task involving ddev exec, ddev ssh, or ddev start/stop.
Write integration tests using TestContainers for .NET with xUnit. Covers infrastructure testing with real databases, message queues, and caches in Docker containers instead of mocks.
Configure CI/CD pipelines, Docker containers, and cloud deployments. Handles GitHub Actions, Kubernetes, and infrastructure automation. Use PROACTIVELY when setting up deployments, containers, or CI/CD workflows.
Use this skill when the user wants to open, create, or manage projects across local macOS, Apple Containers, and Fly.io Sprites using the zp CLI.
Generate professional product packaging designs using each::sense AI. Create box designs, food packaging, cosmetic containers, beverage labels, supplement bottles, coffee bags, candle packaging, gift boxes, shopping bags, and product labels.
Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.