env-config

Manage Python environment configurations and encrypt secrets across dev, staging, and prod.

26|5|Updated Oct 26, 2025
One-click install
npx skills add https://github.com/AutumnsGrove/ClaudeSkills --skill env-config
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: env-config
Source: https://github.com/AutumnsGrove/ClaudeSkills/tree/main/env-config
Command: npx skills add https://github.com/AutumnsGrove/ClaudeSkills --skill env-config

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-dotenv, cryptography, pydantic, pydantic-settings, and includes scripts (resource) and examples (resource) and references (resource) components.

What problem does it solve?

Managing environment variables, secrets, and multi-environment configurations in Python projects can be complex and prone to security risks. This Skill streamlines the process, ensuring your application's settings are secure, consistent, and easy to manage.

Core Features & Use Cases

  • .env File Management: Parse, validate, and securely manage .env files for different environments.
  • Secrets Encryption: Encrypt sensitive configuration files at rest for enhanced security.
  • UV Integration: Leverage UV for fast and reliable Python package and project management.
  • Use Case: You need to set up a new Python project with distinct configurations for development, staging, and production, ensuring API keys are never committed to version control and are encrypted for production. This Skill guides you through the setup and provides tools to manage it.

Quick Start

Example: Validate your .env file

python scripts/env_helper.py validate .env --required APP_NAME DATABASE_URL

Example: Encrypt sensitive secrets

python scripts/env_helper.py encrypt secrets.json secrets.encrypted

Frequently Asked Questions about env-config

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I manage environment variables and secrets securely in Python projects?

Environment variables and secrets management involves loading configuration from .env files, validating required keys, and encrypting sensitive data at rest. This Skill provides .env parsing, secrets encryption, and type-safe config validation using pydantic to keep API keys and credentials out of version control.

Can I set up different configurations for development, staging, and production environments?

Yes. This Skill supports multi-environment workflows by parsing environment-specific .env files, validating required keys on startup, and encrypting secrets for production. UV-based dependency management ensures consistent package versions across environments.

How do I encrypt sensitive configuration files in Python?

Use the cryptography library through the included env_helper.py utility to encrypt sensitive JSON or configuration files at rest. The Skill provides command-line scripts to encrypt and decrypt secrets, keeping them secure while maintaining access during application runtime.

What's the best way to migrate from hardcoded configuration to environment variables?

Audit existing hardcoded values, generate .env templates with required keys, validate them using pydantic-settings, and replace inline secrets with environment variable references. This Skill guides migration workflows and provides helper scripts for standardizing configurations across your codebase.

Does this work with UV for Python project management?

Yes. The Skill integrates UV-based dependency management with environment configuration, ensuring fast and reliable package handling alongside multi-environment .env setup and secrets management for Python projects.

What should I do if required environment variables are missing at startup?

Pydantic validation catches missing required keys before your application runs, preventing runtime failures. The Skill's validation scripts and Config abstraction check all required environment variables on startup and report missing or invalid values clearly.