Python Performance Profiler
Helps with Python, performance optimization as part of developing backend services and APIs workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add python-performance-profiler npx -- -y @trustedskills/python-performance-profiler
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"python-performance-profiler": {
"command": "npx",
"args": [
"-y",
"@trustedskills/python-performance-profiler"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to analyze and profile Python application performance, identifying bottlenecks and optimization opportunities in backend codebases. It helps detect slow functions, memory leaks, and inefficient operations through automated profiling techniques.
When to use it
- Diagnosing slow API endpoints or microservices built with Python frameworks
- Identifying performance regressions after code changes or deployments
- Analyzing production logs to find resource-intensive operations
- Preparing codebases for scaling by finding optimization targets
Key capabilities
- Function-level timing analysis and call stack profiling
- Memory usage tracking and leak detection
- Integration with Python profiling tools
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.