dockerfile-builder

nadeemsangrasi's avatarfrom nadeemsangrasi

Generate the full production Dockerfile for the backend with multi-stage build, proper dependencies, and Hugging Face Spaces compatibility.

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[CI and CD]

When & Why to Use This Skill

The Dockerfile Builder skill automates the generation of production-ready, multi-stage Dockerfiles optimized for backend services. It streamlines the containerization process by implementing industry best practices such as image size optimization, security hardening with non-root users, and specific compatibility configurations for Hugging Face Spaces deployment.

Use Cases

  • Case 1: Deploying FastAPI or Python-based AI agents to Hugging Face Spaces using Docker mode with automated port 7860 configuration.
  • Case 2: Optimizing CI/CD pipelines by implementing multi-stage builds to reduce container image sizes and minimize the production attack surface.
  • Case 3: Standardizing backend deployment environments for teams using Agent SDKs and vector databases like Qdrant, ensuring consistent runtime configurations.
nameDockerfile Builder
descriptionGenerate the full production Dockerfile for the backend with multi-stage build, proper dependencies, and Hugging Face Spaces compatibility.

Dockerfile Builder

Instructions

  1. Generate production Dockerfile with multi-stage build:

    • Use Python slim base image
    • Install FastAPI, Uvicorn, Qdrant client, Agent SDK dependencies
    • Copy application code efficiently
    • Set up proper working directory

  2. Configure for Hugging Face Spaces compatibility:

    • Expose port 7860 as required
    • Set proper user permissions
    • Include health check if needed
    • Optimize image size for deployment

  3. Implement multi-stage build pattern:

    • Build stage for dependencies
    • Final stage with minimal runtime
    • Copy only necessary files
    • Clean up build artifacts

  4. Add proper runtime configuration:

    • Set environment variables
    • Configure startup command
    • Add non-root user if security required
    • Include proper signal handling

  5. Follow Context7 MCP standards:

    • Ensure compatibility with Hugging Face Spaces Docker mode
    • Follow deterministic build patterns
    • Include proper error handling
    • Document all configuration options

Examples

Input: "Create Dockerfile for Hugging Face Spaces deployment" Output: Creates Dockerfile with multi-stage build that's compatible with Hugging Face Spaces.