Profiling Performance
Analyzes system resource usage to identify performance bottlenecks and suggest optimization strategies.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add profiling-performance npx -- -y @trustedskills/profiling-performance
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"profiling-performance": {
"command": "npx",
"args": [
"-y",
"@trustedskills/profiling-performance"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows AI agents to analyze and report on performance metrics. It can identify bottlenecks in code execution, memory usage, or other resource-intensive operations. The agent can then provide insights into how to optimize these areas for improved efficiency.
When to use it
- Debugging slow application processes: Identify the specific functions or modules causing delays.
- Optimizing resource utilization: Determine if an application is consuming excessive memory or CPU.
- Analyzing code performance after refactoring: Confirm that changes have not introduced new bottlenecks.
- Troubleshooting user-reported slowdowns: Pinpoint the root cause of perceived performance issues.
Key capabilities
- Performance metric analysis
- Bottleneck identification
- Resource usage reporting
- Optimization insights
Example prompts
- "Analyze the performance of my Python script and identify any bottlenecks."
- "Report on memory usage during this process."
- "What is causing this function to take so long?"
Tips & gotchas
The skill's effectiveness depends on having access to relevant code or execution data. Ensure the agent has sufficient permissions and context to accurately assess performance.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.