Execute use Cascade for intelligent debugging and error analysis. Activate when users mention "debug with ai", "error analysis", "cascade debug", "find bug", or "troubleshoot code". Handles AI-assisted debugging workflows. Use when debugging issues or troubleshooting. Trigger with phrases like "windsurf debugging ai", "windsurf ai", "windsurf".
Installation
Details
Usage
After installing, this skill will be available to your AI coding assistant.
Verify installation:
skills listSkill Instructions
name: "windsurf-debugging-ai" description: | Execute use Cascade for intelligent debugging and error analysis. Activate when users mention "debug with ai", "error analysis", "cascade debug", "find bug", or "troubleshoot code". Handles AI-assisted debugging workflows. Use when debugging issues or troubleshooting. Trigger with phrases like "windsurf debugging ai", "windsurf ai", "windsurf". allowed-tools: "Read,Grep,Glob,Bash(cmd:*)" version: 1.0.0 license: MIT author: "Jeremy Longshore jeremy@intentsolutions.io"
Windsurf Debugging Ai
Overview
This skill enables AI-assisted debugging within Windsurf. Cascade analyzes error messages, stack traces, and code context to identify root causes and suggest fixes. It learns from your codebase patterns to provide contextually relevant debugging assistance, reducing time spent on common errors and helping identify subtle bugs that might otherwise be missed.
Prerequisites
- Windsurf IDE with Cascade enabled
- Application with reproducible issues
- Debug configuration set up
- Error logs accessible
- Understanding of application architecture
Instructions
- Capture Error Context
- Analyze with Cascade
- Investigate Root Cause
- Apply Fix
- Document for Prevention
See {baseDir}/references/implementation.md for detailed implementation guide.
Output
- Root cause analysis
- Fix recommendations
- Debug session logs
- Prevention strategies
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.
