Performance Testing
Helps with performance optimization, testing as part of testing, debugging, and quality assurance workflows.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add performance-testing npx -- -y @trustedskills/performance-testing
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"performance-testing": {
"command": "npx",
"args": [
"-y",
"@trustedskills/performance-testing"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill enables AI agents to perform performance testing, which involves measuring how systems behave under various load conditions. It helps identify bottlenecks, validate performance requirements (like response times and throughput), and ensure systems can handle expected user loads. The skill supports multiple tools including k6, Apache JMeter, pytest-benchmark, and JMH for Java benchmarking.
When to use it
- Validating response time requirements
- Measuring API throughput and latency
- Testing database query performance
- Identifying performance bottlenecks
- Benchmarking before/after optimizations
Key capabilities
- Performance testing of APIs using tools like k6.
- Database query performance testing.
- Algorithm efficiency comparison.
- Caching effectiveness validation.
- Concurrent user capacity testing.
- Support for various benchmarking tools (k6, JMeter, pytest-benchmark, JMH).
Example prompts
- "Run a load test on the
/api/ordersendpoint using k6." - "Benchmark this Python function and identify any performance bottlenecks."
- "Test the database query
SELECT * FROM usersto measure its execution time."
Tips & gotchas
- Define clear performance requirements (SLAs) before testing.
- Use realistic data volumes during testing for accurate results.
- Warm up systems before measuring performance metrics.
Tags
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Security Audits
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| Socket | Pass |
| Snyk | Pass |
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Passed automated security scans.