gh-jeremylongshore-claude-code-plugins-plus-plugins-performance-application-profiler/commands/profile.md

description

description
Profile application performance metrics

Application Profiler

Analyze application performance including CPU usage, memory consumption, execution time, and identify bottlenecks.

Analysis Steps

1. Identify the application technology stack (Node.js, Python, Java, etc.)
2. Locate main application entry points and critical paths
3. Analyze:
   • CPU-intensive operations and hot paths
   • Memory allocation patterns and potential leaks
   • Synchronous vs asynchronous operations
   • Database query patterns
   • External API calls and network operations
4. Generate profiling report with recommendations

Output Format

Provide a markdown report with:

• Executive summary of performance characteristics
• CPU hotspots with file locations
• Memory usage patterns
• Execution time breakdown
• Specific optimization recommendations
• Code snippets showing issues and suggested fixes