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dependency-deprecation

Deprecate Java/Maven/FIJI dependencies while preserving backward compatibility in Python projects.

3|Updated Dec 10, 2025
Search Tags:#dependencies#deprecation#java#maven#backward compatibility
One-click install
npx skills add https://github.com/smith6jt-cop/Skills_Registry --skill dependency-deprecation
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dependency-deprecation
Source: https://github.com/smith6jt-cop/Skills_Registry/tree/main/plugins/general/dependency-deprecation/skills/dependency-deprecation
Command: npx skills add https://github.com/smith6jt-cop/Skills_Registry --skill dependency-deprecation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a systematic pattern for removing external dependencies from your codebase while ensuring existing user workflows continue to function without interruption.

Core Features & Use Cases

  • Gradual Deprecation: Marks dependencies as deprecated while keeping them functional for current users.
  • Use Case: When you need to remove Java/Maven/FIJI dependencies while preserving functionality for users who still need them.

Quick Start

Deprecate the 'java' dependency in the current project while documenting clear migration paths to replacement implementations.

Frequently Asked Questions about dependency-deprecation

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

FAQPage Schema
How do I deprecate Java/Maven dependencies while keeping them working?▼

Deprecate Java/Maven dependencies by marking them as deprecated in your codebase while preserving backward compatibility. This Skill implements a systematic deprecation workflow that adds warnings, updates configuration files like pyproject.toml, and provides migration documentation so existing user workflows continue functioning without interruption.

Can I migrate from Java/ImageJ backends to CuPy/NumPy without breaking existing code?▼

Yes, you can migrate from Java/ImageJ backends to CuPy/NumPy while maintaining full backward compatibility. This Skill guides you through gradual deprecation with clear warnings and migration paths, allowing legacy workflows to remain operational during the transition.

What's the best way to remove external dependencies from a Python project?▼

Remove external dependencies systematically using gradual deprecation: mark dependencies as deprecated, preserve their functionality for current users, document clear migration paths to replacement implementations, and update pyproject.toml and environment files. This approach prevents breaking existing workflows.

How do I document dependency migration for users still using legacy Java implementations?▼

Provide comprehensive migration documentation as part of your deprecation workflow. This Skill generates warnings and guides users toward replacement implementations like CuPy/NumPy, ensuring legacy workflows remain supported while encouraging adoption of modern alternatives.

Does this work for deprecating FIJI/CLIJ2 dependencies in scientific Python projects?▼

Yes, this Skill handles deprecation of FIJI/CLIJ2 Java dependencies in Python 3.10+ projects across Windows, Linux, and macOS. It preserves backward compatibility while enabling migration to NumPy/CuPy-based implementations for scientific computing workflows.

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