python-package-migrator
Plan and execute upgrades for Python libraries, handling breaking changes. Use when performing major version bumps for frameworks like Django or FastAPI.
Best use case
python-package-migrator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Plan and execute upgrades for Python libraries, handling breaking changes. Use when performing major version bumps for frameworks like Django or FastAPI.
Teams using python-package-migrator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/python-package-migrator/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How python-package-migrator Compares
| Feature / Agent | python-package-migrator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Plan and execute upgrades for Python libraries, handling breaking changes. Use when performing major version bumps for frameworks like Django or FastAPI.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Python Package Migrator ## Purpose and Intent Plan and execute upgrades for Python libraries, handling breaking changes. Use when performing major version bumps for frameworks like Django or FastAPI. ## 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.
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