From application-profiler
Profiles Node.js, Python, and Java app performance by analyzing CPU usage, memory allocation, and execution hotspots to identify bottlenecks and recommend optimizations.
How this skill is triggered — by the user, by Claude, or both
Slash command
/application-profiler:profiling-application-performanceThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Profile application performance across Node.js, Python, and Java stacks by analyzing CPU usage, memory allocation, and execution hotspots to pinpoint optimization targets.
Profile application performance across Node.js, Python, and Java stacks by analyzing CPU usage, memory allocation, and execution hotspots to pinpoint optimization targets.
This skill empowers Claude to analyze application performance, pinpoint bottlenecks, and recommend optimizations. By leveraging the application-profiler plugin, it provides insights into CPU usage, memory allocation, and execution time, enabling targeted improvements.
This skill activates when you need to:
User request: "Analyze my Node.js application for memory leaks."
The skill will:
User request: "Profile my Python script and find the most CPU-intensive functions."
The skill will:
This skill can be used in conjunction with code editing plugins to implement the recommended optimizations directly within the application's source code. It can also integrate with monitoring tools to track performance improvements over time.
The skill produces structured output relevant to the task.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin application-profilerProfiles apps to identify CPU/memory bottlenecks using runtime tools: clinic.js/0x for Node.js, py-spy/cProfile for Python, Chrome DevTools/Lighthouse for frontend. For slow apps, leaks, high CPU.
Orchestrates performance profiling and optimization across languages. Diagnoses symptoms, dispatches profiling agents, and manages before/after comparisons for latency, memory, CPU, and bundle issues.
Detects performance bottlenecks in CPU, memory, I/O, database, and lock contention layers. Provides analysis and remediation strategies for slow applications.