python-configuration

# Python Configuration Management Externalize configuration from code using environment variables and typed settings. Well-managed configuration enables the same code to run in any environment without modification. ## When to Use This Skill - Setting up a new project's configuration system - Migrating from hardcoded values to environment variables - Implementing pydantic-settings for typed configuration - Managing secrets and sensitive values - Creating environment-specific settings (dev/staging/prod) - Validating configuration at application startup ## Core Concepts ### 1. Externalized Configuration All environment-specific values (URLs, secrets, feature flags) come from environment variables, not code. ### 2. Typed Settings Parse and validate configuration into typed objects at startup, not scattered throughout code. ### 3. Fail Fast Validate all required configuration at application boot. Missing config should crash immediately with a clear message. ### 4. Sensible Defaults Provide reasonable defaults for local development while requiring explicit values for sensitive settings. ## Quick Start ```python from pydantic_settings import BaseSettings from pydantic import Field class Settings(BaseSettings): database_url: str = Field(alias="DATABASE_URL") api_key: str = Field(alias="API_KEY") debug: bool = Field(default=False, alias="DEBUG") settings = Settings() # Loads from environment ``` ## Fundamental Patterns ### Pattern 1: Typed Settings with ...