hugging-face-config

nadeemsangrasi's avatarfrom nadeemsangrasi

Generate Hugging Face Spaces configuration files including runtime setup, environment variables, and deployment instructions.

⭐0stars🔀0forks📁View on GitHub🕐Updated Dec 17, 2025
[Cloud Infrastructure]

When & Why to Use This Skill

This Claude skill automates the generation of Hugging Face Spaces configuration files, including hf-space.yaml, Docker runtime settings, and deployment documentation. It streamlines the process of hosting machine learning models and web applications by providing standardized environment variable templates, port configurations, and step-by-step deployment guides to ensure a consistent and error-free setup.

Use Cases

  • Rapidly generating hf-space.yaml and Docker configurations for deploying Gradio or Streamlit apps to Hugging Face Spaces.
  • Standardizing environment variable requirements and security recommendations for LLM-powered applications using Gemini or Qdrant.
  • Creating comprehensive deployment documentation and troubleshooting guides for team-based machine learning infrastructure projects.
  • Ensuring deterministic configuration patterns and resource allocation for containerized AI workloads.
nameHugging Face Config
descriptionGenerate Hugging Face Spaces configuration files including runtime setup, environment variables, and deployment instructions.

Hugging Face Config

Instructions

  1. Create Hugging Face Spaces configuration:

    • Generate hf-space.yaml with runtime settings
    • Create README.md with brief explanation
    • Document environment variable requirements
    • Include instructions for container execution

  2. Configure for Docker runtime:

    • Specify Docker as mandatory runtime
    • Set proper port exposure (7860)
    • Configure resource allocation
    • Define startup commands

  3. Document environment variables:

    • List all required variables (GEMINI_API_KEY, QDRANT_URL, etc.)
    • Provide example values and descriptions
    • Include security recommendations
    • Add validation requirements

  4. Add deployment documentation:

    • Explain how to deploy to Hugging Face Spaces
    • Include troubleshooting steps
    • Document scaling considerations
    • Provide monitoring recommendations

  5. Follow Context7 MCP documentation:

    • Ensure Docker runtime compatibility
    • Follow deterministic configuration patterns
    • Include proper error handling
    • Document all configuration parameters

Examples

Input: "Create Hugging Face Spaces configuration" Output: Creates hf-space.yaml and README.md with proper configuration for Docker deployment.