dependency-upgrade

Manage major dependency upgrades with compatibility analysis and staged rollout.

Updated Sep 10, 2025
One-click install
npx skills add https://github.com/cuoreinpace/bdeornelas.github.io --skill dependency-upgrade-cuoreinpace
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: dependency-upgrade
Source: https://github.com/cuoreinpace/bdeornelas.github.io/tree/main/plugins/framework-migration/skills/dependency-upgrade
Command: npx skills add https://github.com/cuoreinpace/bdeornelas.github.io --skill dependency-upgrade-cuoreinpace

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill streamlines the complex and risky process of upgrading major software dependencies and framework versions, minimizing the chance of introducing breaking changes or compatibility issues.

Core Features & Use Cases

  • Version Analysis: Audits current dependencies and identifies available major updates.
  • Compatibility Checks: Provides guidance and tools for analyzing compatibility between different versions of core libraries.
  • Staged Rollout: Outlines a phased approach to upgrades, from planning and incremental updates to thorough validation.
  • Automated Fixes: Leverages codemods and custom scripts to automate the refactoring required by breaking changes.
  • Comprehensive Testing: Integrates unit, integration, E2E, and visual regression testing into the upgrade workflow.
  • Rollback Strategy: Includes a plan for reverting changes if the upgrade fails.
  • Use Case: When upgrading a React application from v17 to v18, this Skill helps identify necessary changes, manage the process incrementally, and ensure all tests pass before a full release.

Quick Start

Use the dependency-upgrade skill to manage the process of updating the React framework to its latest major version.

Frequently Asked Questions about dependency-upgrade

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

FAQPage Schema
How do I safely upgrade major framework versions like React without breaking my application?

Upgrading major dependencies safely requires a phased approach using compatibility matrix analysis and staged rollout strategies. By applying codemods to handle breaking changes and integrating comprehensive testing, you can incrementally update framework versions while minimizing regression risks.

What is the best way to handle breaking changes when updating major dependencies?

The best way to manage breaking changes during major dependency upgrades is leveraging codemods and custom scripts for automated refactoring. This ensures codebase compliance with new library APIs, validated subsequently by robust unit, integration, and E2E testing methodologies.

How do I plan a staged rollout for upgrading a major library version?

A staged rollout for upgrading major library versions involves semantic versioning review, incremental updates, and thorough validation. You audit dependencies, execute compatibility matrix analysis, apply codemods for breaking changes, and run comprehensive testing methodologies before full deployment.

Can I automate code refactoring when upgrading React to a new major version?

Yes, automating code refactoring during a React major version upgrade is achievable using codemods. These custom scripts automatically update deprecated syntax and API patterns, verified subsequently by integration, E2E, and visual regression testing to ensure framework compatibility.

What testing methodologies are needed when upgrading major dependencies?

Upgrading major dependencies requires comprehensive testing methodologies encompassing unit, integration, end-to-end, and visual regression testing. Integrating these tests into the staged upgrade workflow validates that new framework versions introduce no compatibility issues or regressions.

What should I do if a major dependency upgrade fails or introduces regressions?

If a major dependency upgrade fails or introduces regressions, executing a predefined rollback strategy reverts the codebase to its previous working state. A robust upgrade workflow includes this recovery plan alongside staged updates and comprehensive testing to ensure safe restoration.