Agent Skills: Python Logging

Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.

UncategorizedID: narumiruna/claude-marketplace/python-logging

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pnpm dlx add-skill https://github.com/narumiruna/agent-skills/tree/HEAD/skills/python-logging

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skills/python-logging/SKILL.md

Skill Metadata

Name
python-logging
Description
Use when choosing or configuring Python logging, especially deciding between stdlib logging and loguru for apps or CLIs.

Python Logging

Overview

Choose the logging system based on project needs. Core principle: stdlib logging for libraries and ecosystem integration, loguru for fast, simple app/CLI logging.

Quick Reference

| Need | Use | | --- | --- | | Library or long-lived service | stdlib logging | | Simple app or CLI | loguru | | Integrations (Sentry/OTel) | stdlib logging |

Decision Rules

Use stdlib logging when:

  • Building a reusable library
  • You need handler hierarchies or integration with ops tooling

Use loguru when:

  • You want minimal setup and readable output
  • You are building a small app or CLI

Example

Stdlib logger setup:

import logging

logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
logger.info("App started")

Common Mistakes

  • Forcing loguru in a reusable library.
  • Mixing two logging systems without a clear boundary.

Red Flags

  • Logging recommendations with no rationale for library vs app use.

References

  • references/logging.md - stdlib logging patterns
  • references/loguru.md - loguru patterns