Manage large-scale refactoring with Cascade coordination. Activate when users mention "large refactoring", "codebase migration", "architecture refactor", "major refactoring", or "system-wide changes". Handles complex refactoring operations. Use when working with windsurf refactoring large functionality. Trigger with phrases like "windsurf refactoring large", "windsurf large", "windsurf".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: "windsurf-refactoring-large" description: | Manage large-scale refactoring with Cascade coordination. Activate when users mention "large refactoring", "codebase migration", "architecture refactor", "major refactoring", or "system-wide changes". Handles complex refactoring operations. Use when working with windsurf refactoring large functionality. Trigger with phrases like "windsurf refactoring large", "windsurf large", "windsurf". allowed-tools: "Read,Write,Edit,Bash(cmd:*),Grep,Glob" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"
Windsurf Refactoring Large
Overview
This skill enables large-scale refactoring operations that span hundreds or thousands of files. It provides phased execution with checkpoints, comprehensive rollback capabilities, and AI-assisted planning. Ideal for architecture migrations, API version upgrades, dependency replacements, and codebase modernization efforts that would traditionally take weeks to complete manually.
Prerequisites
- Windsurf IDE with Enterprise or Pro subscription
- Active Cascade AI connection
- Git repository with clean working state
- Comprehensive test suite for validation
- Backup strategy for critical code paths
- Team coordination for multi-developer codebases
Instructions
- Analyze Scope
- Create Plan
- Prepare Environment
- Execute with Cascade
- Verify Completion
See {baseDir}/references/implementation.md for detailed implementation guide.
Output
- Refactored codebase with all patterns migrated
- Phase completion reports with metrics
- Before/after performance comparison
- Updated documentation and API references
- Archived rollback artifacts (kept 30 days)
Error Handling
See {baseDir}/references/errors.md for comprehensive error handling.
Examples
See {baseDir}/references/examples.md for detailed examples.
Resources
More by jeremylongshore
View allRabbitmq Queue Setup - Auto-activating skill for Backend Development. Triggers on: rabbitmq queue setup, rabbitmq queue setup Part of the Backend Development skill category.
evaluating-machine-learning-models: This skill allows Claude to evaluate machine learning models using a comprehensive suite of metrics. It should be used when the user requests model performance analysis, validation, or testing. Claude can use this skill to assess model accuracy, precision, recall, F1-score, and other relevant metrics. Trigger this skill when the user mentions "evaluate model", "model performance", "testing metrics", "validation results", or requests a comprehensive "model evaluation".
building-neural-networks: This skill allows Claude to construct and configure neural network architectures using the neural-network-builder plugin. It should be used when the user requests the creation of a new neural network, modification of an existing one, or assistance with defining the layers, parameters, and training process. The skill is triggered by requests involving terms like "build a neural network," "define network architecture," "configure layers," or specific mentions of neural network types (e.g., "CNN," "RNN," "transformer").
Oauth Callback Handler - Auto-activating skill for API Integration. Triggers on: oauth callback handler, oauth callback handler Part of the API Integration skill category.
