Dockerfile Gen

    2

    Instantly generate optimized multi-stage Dockerfiles and docker-compose configs for any web project.

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+17 more

    See it in action

    You say

    Analyze my current Node.js repository and generate a production-ready Dockerfile and docker-compose setup for my-app on port 3000.

    Your agent does

    Created 3 files:

    1. Dockerfile: Multi-stage build (node:lts-alpine), non-root user, EXPOSE 3000.
    2. docker-compose.yml: Service 'my-app' with healthcheck and .env mapping.
    3. .dockerignore: Excludes node_modules and .git. Ready to run: docker-compose up --build

    What you get

    Convert a local dev project into a production-ready Docker imageGenerate multi-stage builds for Go, Rust, or Node.js to minimize image sizeAutomate Docker Compose setup with health checks and database servicesCreate standard .dockerignore files to speed up build context transfers

    About this skill

    Automated Production-Ready Containerization

    Transform any source code into a professional Docker environment instantly. This skill eliminates the manual drudgery of writing Dockerfiles by deep-scanning your repository to understand its framework, dependencies, and runtime requirements.

    What it does

    The skill performs a comprehensive analysis of your project structure to generate optimized configurations:

    • Framework Intelligence: Automatically detects Node.js, Next.js, Python, Go, Rust, and Java.
    • Multi-Stage Builds: Generates small, secure production images using multi-stage patterns (e.g., Builder to Scratch/Alpine).
    • Dependency Mapping: Extracts environment variables from manifests and .env files to create templates and ARG placeholders.
    • Networking: Scans source code for port definitions to ensure EXPOSE and port mapping settings are accurate.
    • Orchestration: Creates a docker-compose.yml including health checks and persistent volumes for detected databases.

    Why use this skill

    Writing a Dockerfile is easy; writing a good one is hard. This skill follows industry best practices out of the box—implementing .dockerignore for faster builds, health checks for reliability, and non-root users for security. It saves developers hours of debugging build contexts and image size issues.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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