Performance Profiling

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by dokhacgiakhoa · vlatest · Repository

Analyzes application performance bottlenecks and resource usage to optimize efficiency through detailed profiling reports.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add dokhacgiakhoa-performance-profiling npx -- -y @trustedskills/dokhacgiakhoa-performance-profiling
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "dokhacgiakhoa-performance-profiling": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/dokhacgiakhoa-performance-profiling"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

What it does

This skill provides performance profiling capabilities for AI agents. It allows users to identify bottlenecks and areas of inefficiency in agent execution, providing insights into resource usage and optimization opportunities. The tool facilitates detailed analysis of code segments and function calls to pinpoint performance issues.

When to use it

  • Debugging slow agent responses: Use this skill when an AI agent is taking too long to complete tasks or respond to user requests.
  • Optimizing resource consumption: Employ the skill to identify areas where an agent is consuming excessive CPU, memory, or other resources.
  • Analyzing complex workflows: Leverage profiling to understand the performance characteristics of intricate agent processes and pinpoint inefficiencies within them.
  • Improving overall agent efficiency: Regularly profile your agents to proactively identify and address potential performance degradation over time.

Key capabilities

  • Code segment analysis
  • Function call tracing
  • Resource usage monitoring (CPU, memory)
  • Bottleneck identification

Example prompts

  • "Profile the execution of my chatbot's response generation."
  • "Show me a breakdown of resource consumption during the agent’s data processing stage."
  • "Identify performance bottlenecks in the image recognition module."

Tips & gotchas

The skill requires access to the AI agent's runtime environment and code. Ensure appropriate permissions are granted before initiating profiling sessions for accurate results.

Tags

🛡️

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Details

Version
vlatest
License
Author
dokhacgiakhoa
Installs
4

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Passed automated security scans.