Does this skill handle sensitive information?

Yes, it encourages the use of .secrets.toml and environment variable overrides to ensure that sensitive data is never hardcoded in your main configuration files.

How does it handle different deployment environments?

The skill automatically structures your settings.toml file into sections like [default], [dev_local], and [production], allowing for easy environment-specific overrides.

What is the Dynaconf Configuration Enforcer?

It is a specialized Claude Code Skill that guides the AI to implement configuration settings according to Dynaconf best practices, ensuring consistency and type safety.

Why is type casting important in Dynaconf?

Type casting ensures that values read from TOML or environment variables are correctly interpreted as integers, booleans, or objects, preventing runtime errors in your application logic.

Dynaconf Configuration Enforcer

Name: Dynaconf Configuration Enforcer
Author: ricardoroche

byricardoroche

0•

Developer Tools

Streamlines application configuration by enforcing standardized Dynaconf patterns and type casting in Python projects.

The Dynaconf Configuration Enforcer is designed to automate and standardize the management of application settings using the Dynaconf library. It ensures that all configurations in settings.toml follow best practices, including explicit type casting with directives like @int and @bool, and robust environment variable overrides with fallback values. By organizing settings into environment-specific sections and preventing anti-patterns like hardcoded secrets, this skill helps developers maintain secure, scalable, and error-free configuration layers for their Python applications.

Key Features

01Secure secrets management using .secrets.toml integration

02Anti-pattern detection for hardcoded sensitive data

030 GitHub stars

04Automatic type casting for integers, booleans, floats, and paths

05Environment-aware configuration overrides (dev, prod, local)

06Standardized environment variable mapping with @env directives

Use Cases

01Setting up multi-environment configuration for a new Python backend

02Refactoring hardcoded strings into type-safe configuration variables

03Implementing secure API key management with environment variable fallbacks

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add ricardoroche/ricardos-claude-code dynaconf-config

For use in Claude.ai and ChatGPT

Download Skill