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](https://docs.windsurf.ai/features/performance) - [Profiling Best Practices](https://docs.windsurf.ai/guides/profiling) - [Optimization Patterns](https://docs.windsurf.ai/guides/optimization)