Windsurf Performance Profiling

Windsurf Performance Profiling

Overview

This skill enables AI-assisted performance profiling within Windsurf. Cascade analyzes profiling data to identify bottlenecks, suggest optimizations, and predict impact of changes. It integrates with language-specific profilers and helps prioritize optimization efforts based on actual performance data rather than assumptions.

Prerequisites

• Windsurf IDE with Cascade enabled
• Profiling tools installed (Chrome DevTools, node --prof, py-spy, etc.)
• Application with performance concerns
• Baseline metrics established
• Understanding of performance targets

Instructions

1. Establish Baseline
2. Collect Profile Data
3. Analyze with Cascade
4. Implement Optimizations
5. Document and Monitor

See {baseDir}/references/implementation.md for detailed implementation guide.

Output

• Profiling data and analysis
• Bottleneck identification reports
• Optimization recommendations
• Before/after comparison metrics

Error Handling

See {baseDir}/references/errors.md for comprehensive error handling.

Examples

See {baseDir}/references/examples.md for detailed examples.

Resources

• Windsurf Performance Guide
• Profiling Best Practices
• Optimization Patterns