About python-config-manager
python-config-manager helps Python developers generate and validate environment-based settings with Pydantic or Dynaconf. It is intended for project setup, CI pipelines, and modernization of legacy Python code, with analysis performed locally.
Key features
- 01Generate environment-based configuration
- 02Validate runtime settings
- 03Support for Pydantic or Dynaconf
- 04Local analysis without transmitting code or credentials
Use cases
- 01Setting up a new Python project
- 02Adding configuration checks to CI
- 03Modernizing configuration in a legacy codebase
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ jorgealves/ agent_skills --skill python-config-managerAfter installing, type/python-config-managerin Claude Code to confirm it loaded.
Bundled filesskill.yaml
Details
From the project READMEPython Configuration Manager
Purpose and Intent
Generate and validate environment-based configuration for Python apps using Pydantic or Dynaconf. Use to ensure secure and valid runtime settings.
When to Use
- Project Setup: When initializing a new Python project.
- Continuous Integration: As part of automated build and test pipelines.
- Legacy Refactoring: When updating older Python codebases to modern standards.
When NOT to Use
- Non-Python Projects: This tool is specialized for the Python ecosystem.
Error Conditions and Edge Cases
- Missing Requirements: If the project lacks a requirements.txt or pyproject.toml.
- Incompatible Versions: If the project uses a Python version not supported by the tools.
Security and Data-Handling Considerations
- All analysis is performed locally.
- No source code or credentials are ever transmitted externally.
Comments
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