What happens if I already have a settings.py file?

The skill will detect existing configuration files and ask you whether to merge the new sections into your current file, overwrite it entirely, or skip the operation to prevent data loss.

How do environment variable overrides work?

The generated code uses Pydantic's nested delimiter logic (double underscores). For example, setting an environment variable 'POSTGRES__HOST' will automatically override the 'host' field within the 'PostgresSettings' model.

How does this skill handle sensitive credentials?

The skill follows security best practices by generating an 'example.env.yaml' for documentation and automatically updating your .gitignore to ensure that 'local.env.yaml' and other secret-bearing files are never committed to version control.

Can I customize the configuration sections?

Yes. Upon execution, the skill provides an interactive selection menu allowing you to choose only the sections you need, such as PostgreSQL, Redis, AWS, Elasticsearch, Sentry, or custom API settings.

Pydantic Settings Generator

Name: Pydantic Settings Generator
Author: jugrajsingh

byjugrajsingh

0•

API Development

Generates type-safe Pydantic Settings configurations with YAML support for robust Python application management.

This skill streamlines the setup of professional configuration management in Python projects by generating a standardized Pydantic Settings structure. It creates a modular config/settings.py file with pre-built sections for common services like PostgreSQL, Redis, and AWS, alongside a version-controlled example.env.yaml template. By enforcing a clear override hierarchy—prioritizing environment variables over YAML files and defaults—it ensures your application remains secure, git-friendly, and validated at startup, eliminating the risks associated with manual os.getenv() calls.

Key Features

010 GitHub stars

02Supports modular sections for Postgres, Redis, AWS, Sentry, and API settings

03Implements a flexible override chain (Env Vars > YAML > Defaults)

04Provides interactive merging for existing configuration files

05Automatically configures .gitignore and project dependencies via uv

06Generates type-safe configuration classes using Pydantic Settings v2

Use Cases

01Migrating legacy environment variable management to type-safe Pydantic models

02Initializing a new Python backend project with structured configuration

03Standardizing configuration patterns across a microservices architecture

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jugrajsingh/skillgarden generating-settings

For use in Claude.ai and ChatGPT

Download Skill