Cpu Profiling
This CPU Profiling skill analyzes your code to pinpoint performance bottlenecks and identify areas needing optimization for faster execution.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add cpu-profiling npx -- -y @trustedskills/cpu-profiling
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"cpu-profiling": {
"command": "npx",
"args": [
"-y",
"@trustedskills/cpu-profiling"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The cpu-profiling skill enables AI agents to analyze system performance by generating CPU usage profiles. It helps identify bottlenecks and inefficient processes within a computing environment through detailed metric collection.
When to use it
- Diagnosing slow application response times on local or remote servers.
- Identifying resource-heavy tasks during batch processing jobs.
- Optimizing code execution by pinpointing functions that consume excessive cycles.
- Monitoring system health before deploying heavy workloads.
Key capabilities
- Captures real-time CPU utilization data across multiple cores.
- Generates structured reports highlighting peak usage periods.
- Correlates process IDs with specific resource consumption patterns.
- Supports both interactive and automated profiling sessions.
Example prompts
"Analyze the current CPU usage of my development server and list the top three processes consuming resources." "Generate a CPU profile report for the last hour to identify any performance spikes during peak traffic." "Help me optimize this script by profiling its CPU consumption and suggesting which functions need refactoring."
Tips & gotchas
Ensure the target system has sufficient permissions to access process-level metrics, as some environments restrict detailed CPU data. Profiling can introduce slight overhead; avoid running it on production systems during critical operations unless necessary.
Tags
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