Profile application performance with CPU, memory, and execution time analysis
Installation
npx claude-plugins install @jeremylongshore/claude-code-plugins-plus/application-profiler
Contents
Folders: commands, skills
Files: LICENSE, README.md
Documentation
Profile application performance with comprehensive analysis of CPU, memory, and execution time.
Installation
/plugin install application-profiler@claude-code-plugins-plus
Usage
/profile
Analyzes your application’s performance characteristics and provides optimization recommendations.
Features
- CPU usage analysis and hotspot detection
- Memory consumption patterns
- Execution time breakdown
- Bottleneck identification
- Optimization recommendations with code examples
Requirements
- Access to application source code
- Understanding of application architecture
License
MIT
Included Skills
This plugin includes 1 skill definition:
profiling-application-performance
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View skill definition
Application Profiler
This skill provides automated assistance for application profiler tasks.
Overview
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.
How It Works
- Identify Application Stack: Determines the application’s technology (e.g., Node.js, Python, Java).
- Locate Entry Points: Identifies main application entry points and critical execution paths.
- Analyze Performance Metrics: Examines CPU usage, memory allocation, and execution time to detect bottlenecks.
- Generate Profile: Compiles the analysis into a comprehensive performance profile, highlighting areas for optimization.
When to Use This Skill
This skill activates when you need to:
- Analyze application performance for bottlenecks.
- Identify CPU-intensive operations and memory leaks.
- Optimize application execution time.
Examples
Example 1: Identifying Memory Leaks
User request: “Analyze my Node.js application for memory leaks.”
The skill will:
- Activate the application-profiler plugin.
- Analyze the application’s memory allocation patterns.
- Generate a profile highlighting potential memory leaks.
Example 2: Optimizing CPU Usage
User request: “Profile my Python script and find the most CPU-intensive functions.”
The skill will:
- Act