Performance Profiler
Analyzes task execution speed, resource usage, and identifies bottlenecks to optimize AI agent performance.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add performance-profiler npx -- -y @trustedskills/performance-profiler
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"performance-profiler": {
"command": "npx",
"args": [
"-y",
"@trustedskills/performance-profiler"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The Performance Profiler skill enables AI agents to analyze and optimize application performance metrics, helping users identify bottlenecks and improve efficiency. It provides actionable insights into system behavior through detailed profiling data.
When to use it
- Diagnosing slow response times in web applications or scripts.
- Identifying memory leaks or excessive CPU usage during execution.
- Optimizing code performance before deployment to production environments.
- Troubleshooting complex workflows where standard debugging tools fall short.
Key capabilities
- Real-time monitoring of application performance indicators.
- Generation of detailed reports highlighting specific areas for optimization.
- Integration with existing development workflows for seamless analysis.
Example prompts
- "Run a performance profile on my current project and highlight any bottlenecks."
- "Analyze the execution time of this script and suggest optimizations."
- "Generate a report on memory usage patterns during peak load scenarios."
Tips & gotchas
Ensure your application is running in a stable environment before initiating profiling to avoid skewed results. Familiarize yourself with the output format to effectively interpret the performance data provided.
Tags
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