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upgrade-python

Automate Python microservice upgrades from 3.7 to 3.13 with code and dependency changes.

Updated Aug 23, 2026
Search Tags:#dependency management#python#docker#code refactoring#upgrade#microservice
One-click install
npx skills add https://github.com/cuemath/dotclaude --skill upgrade-python
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: upgrade-python
Source: https://github.com/cuemath/dotclaude/tree/main/skills/upgrade-python
Command: npx skills add https://github.com/cuemath/dotclaude --skill upgrade-python

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the complex and time-consuming process of upgrading Python microservices from older versions (like 3.7) to a modern, supported version (3.13), ensuring compatibility and leveraging new language features.

Core Features & Use Cases

  • Comprehensive Analysis: Scans service code, dependencies, and configurations to identify all necessary changes.
  • Automated Refactoring: Applies code modifications, dependency updates, and configuration changes based on the analysis.
  • Safe Deployment: Guides through local testing, Docker builds, and deployment to a test environment before production.
  • Use Case: A team needs to upgrade their core Python microservice from Python 3.7 to 3.13. This Skill will analyze the service, generate a detailed upgrade document, and then apply all the necessary code and dependency changes, creating a pull request for review.

Quick Start

Use the upgrade-python skill to analyze the current Python microservice for upgrade to Python 3.13.

Frequently Asked Questions about upgrade-python

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I upgrade a Python microservice from 3.7 to 3.13?▼

To upgrade a Python microservice to 3.13, you need to analyze code, dependencies, and configurations, then apply necessary changes. This process scans Dockerfiles, requirements.txt, and Python files to identify compatibility issues and applies automated refactoring.

What are common Python 3.13 compatibility issues with Flask and SQLAlchemy?▼

Common Python 3.13 compatibility issues involve breaking changes in Flask 3, Werkzeug 3, SQLAlchemy, and the Python 3.13 stdlib. Upgrading requires scanning dependencies and applying specific code modifications to resolve these framework conflicts.

Does upgrading Python version require updating Dockerfile configurations?▼

Yes, upgrading a Python microservice requires updating Dockerfile configurations. The upgrade process scans Dockerfiles alongside requirements.txt and Python files to identify and apply necessary configuration changes for the target version.

How do I audit dependencies before upgrading to Python 3.13?▼

To audit dependencies before upgrading to Python 3.13, run specific audit commands to identify compatibility issues within requirements.txt. This scans for necessary dependency updates and code modifications required by the new version.

What is the safest way to deploy a Python version upgrade in microservices?▼

The safest way to deploy a Python version upgrade involves generating an upgrade document, applying changes, and guiding through local testing, Docker builds, and test environment deployment before production. This ensures safe deployment of the microservice.

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