Does it use simple search and replace?

No, it utilizes Abstract Syntax Tree (AST) parsing to ensure that code changes are contextually accurate and maintain correct Python syntax.

Is it safe to run on production code?

The skill includes a --dry-run mode to preview changes and automatically creates backups before applying any modifications to your source files.

Can I add my own custom deprecation patterns?

Yes, the skill is designed to be extensible via a JSON configuration file where you can define custom regex patterns, replacements, and required imports.

Does this skill support Python 3.12 datetime changes?

Yes, it specifically handles the deprecation of datetime.utcnow() and datetime.utcfromtimestamp(), replacing them with timezone-aware alternatives like datetime.now(UTC).

How does it handle missing imports?

It intelligently detects when a replacement requires a new import (such as 'from datetime import UTC') and adds it to the file automatically if it's missing.

Python Deprecation Fixer

Name: Python Deprecation Fixer
Author: JantonioFC

byJantonioFC

•

开发者工具

Automatically identifies and updates deprecated Python code patterns to modern, compliant syntax using AST analysis.

This skill automates the modernization of Python codebases by identifying deprecated patterns and replacing them with current best practices. It handles common issues like the Python 3.12 datetime deprecations, asyncio decorators, and collections moves, ensuring your code remains compatible with the latest language versions. By using AST parsing rather than simple regex, it provides safer, context-aware refactoring while automatically managing required imports and providing dry-run capabilities to maintain project integrity during the upgrade process.

主要功能

01Automatic detection and replacement of datetime.utcnow() and utcfromtimestamp()

02Extensible pattern matching via JSON configuration for custom deprecation rules

032 GitHub stars

04Safe dry-run mode and automatic backups to preview and revert changes

05Context-aware refactoring of asyncio.coroutine to modern async def syntax

06Automated import management for newly required modules and constants

使用场景

01Resolving widespread linter warnings and technical debt in large codebases

02Automating routine code modernization tasks within CI/CD pipelines

03Upgrading legacy Python projects to Python 3.12+ compatibility

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank python-deprecation-fixer

For use in Claude.ai and ChatGPT

主要功能

01Automatic detection and replacement of datetime.utcnow() and utcfromtimestamp()

02Extensible pattern matching via JSON configuration for custom deprecation rules

032 GitHub stars

04Safe dry-run mode and automatic backups to preview and revert changes

05Context-aware refactoring of asyncio.coroutine to modern async def syntax

06Automated import management for newly required modules and constants

使用场景

01Resolving widespread linter warnings and technical debt in large codebases

02Automating routine code modernization tasks within CI/CD pipelines

03Upgrading legacy Python projects to Python 3.12+ compatibility

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add jantoniofc/skillsbank python-deprecation-fixer

For use in Claude.ai and ChatGPT