windsurf-performance-profiling
Profile and optimize code with AI-assisted analysis. Activate when users mention "performance profiling", "optimize performance", "bottleneck analysis", "profiling", or "performance tuning". Handles performance analysis and optimization. Use when working with windsurf performance profiling functionality. Trigger with phrases like "windsurf performance profiling", "windsurf profiling", "windsurf". '
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill windsurf-performance-profiling --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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. ## Prerequisites - Windsurf IDE with Cascade enabled - Profiling tools installed (Chrome DevTools, node --prof, py-spy, etc.) - Application with performance concerns - Baseli
What does the windsurf-performance-profiling skill do?
Profile and optimize code with AI-assisted analysis. Activate when users mention "performance profiling", "optimize performance", "bottleneck analysis", "profiling", or "performance tuning". Handles performance analysis and optimization. Use when working with windsurf performance profiling functionality. Trigger with phrases like "windsurf performance profiling", "windsurf profiling", "windsurf". '
How do I install it?
Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill windsurf-performance-profiling --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
