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python-package-migrator

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Actualizado25 de enero de 2026 a las 18:01

Plan and execute upgrades for Python libraries, handling breaking changes. Use when performing major version bumps for frameworks like Django or FastAPI.

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jorgealves

jorgealves/agent_skills

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SKILL.md

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name	python-package-migrator
description	Plan and execute upgrades for Python libraries, handling breaking changes. Use when performing major version bumps for frameworks like Django or FastAPI.

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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name	python-package-migrator
description	Plan and execute upgrades for Python libraries, handling breaking changes. Use when performing major version bumps for frameworks like Django or FastAPI.

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.