performance-profile

To find performance bottlenecks in a Node.js application, this skill automatically sets up clinic.js to profile runtime execution, detects slow API calls, and suggests actionable optimizations.

Yes, you can profile Python applications using cProfile. The skill detects the Python runtime, generates profiling scripts, and scans your code for anti-patterns like synchronous operations that slow execution.

The best way to detect browser performance issues is using Lighthouse. This skill sets up the tool automatically to audit your web application and provides token-efficient reporting on bottlenecks.

No, you do not need to manually install profiling tools. The skill detects your runtime environment—Node.js, Python, or browser—and handles the automated setup of clinic.js, cProfile, or Lighthouse.

Performance profiling scans your code to identify common anti-patterns such as synchronous operations and large dependencies that cause software bottlenecks.

Yes, the skill works with both Node.js and Python environments, as well as browser applications. It detects the active runtime to apply the correct profiling tool and optimization recommendations.