Performance Profiling
Identifies performance bottlenecks in code execution, suggesting optimizations based on resource usage and timing data.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add performance-profiling npx -- -y @trustedskills/performance-profiling
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"performance-profiling": {
"command": "npx",
"args": [
"-y",
"@trustedskills/performance-profiling"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The performance-profiling skill enables AI agents to analyze and optimize the efficiency of code or system processes. It identifies bottlenecks, resource usage patterns, and areas for improvement in applications or scripts.
When to use it
- To identify slow-performing functions in a software application.
- Before deploying an app to ensure optimal performance under load.
- When troubleshooting unexpected spikes in CPU or memory usage.
- During code refactoring to measure the impact of changes on system efficiency.
Key capabilities
- Code execution time analysis
- Memory and CPU usage tracking
- Identification of inefficient algorithms
- Generation of optimization recommendations
Example prompts
- "Analyze this Python script for performance bottlenecks."
- "Profile the memory usage of my web application under heavy load."
- "Identify which functions are causing high latency in this codebase."
Tips & gotchas
- Ensure that profiling tools have access to sufficient system resources.
- Profiling may add overhead; use it selectively during testing rather than in production unless necessary.
Tags
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