python-package-migrator

Analyze Python dependencies and generate upgrade plans for Django or FastAPI projects.

2|1|Updated Jan 25, 2026

Search Tags:#fastapi #python #django #breaking-changes #dependency-management #version-bumps #library-upgrades

Ready to run

npx skills add https://github.com/jorgealves/agent_skills --skill python-package-migrator

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: python-package-migrator
Source: https://github.com/jorgealves/agent_skills/tree/main/python-package-migrator
Command: npx skills add https://github.com/jorgealves/agent_skills --skill python-package-migrator

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps software teams safely plan and execute upgrades for Python libraries across a codebase, mitigating breaking changes and dependency drift.

Core Features & Use Cases

Dependency analysis and version planning: Inspects requirements.txt, pyproject.toml, and setup.py to propose target library versions and identify upgrade risks.
Compatibility checks for frameworks: Evaluates compatibility with major frameworks like Django or FastAPI and flags potential breaking changes.
CI and release readiness: Generates upgrade plans suitable for automated validation in CI pipelines and release workflows.

Quick Start

Run the skill against a Python project to generate an upgrade plan and a compatibility report. Example: provide the project path and run in dry-run mode: "python-package-migrator --project-path /path/to/project --dry-run"

Frequently Asked Questions about python-package-migrator

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

FAQPage Schema

How do I plan Python library upgrades and avoid breaking changes?▼

To plan Python library upgrades safely, you parse dependency files like requirements.txt and pyproject.toml to assess compatibility and identify risks. This process generates an actionable upgrade plan and a compatibility report to mitigate dependency drift.

How do I check FastAPI or Django compatibility before a version bump?▼

Checking FastAPI or Django compatibility before a version bump involves evaluating your codebase against major framework versions to flag potential breaking changes. This assessment is integrated into the generated upgrade plan to ensure release readiness.

Can I automate dependency management and library upgrades in a CI workflow?▼

Yes, you can automate dependency management in a CI workflow by generating upgrade plans suitable for automated validation. Running the migration process in dry-run mode within your CI pipelines ensures release readiness without immediately applying changes.

What is the best way to handle legacy Python migrations and dependency drift?▼

The best way to handle legacy Python migrations is to inspect dependency configurations across the codebase to propose target library versions. This approach identifies upgrade risks specific to legacy projects and produces a structured compatibility report.

Does dependency parsing for Python upgrades support pyproject.toml and setup.py?▼

Dependency parsing for Python upgrades supports pyproject.toml and setup.py, along with requirements.txt. Parsing these files allows the tool to extract current dependencies, propose target versions, and identify potential breaking changes across the project.