From jeremylongshore-claude-code-plugins-plus-skills
Generates flame graphs and configurations for performance testing tasks including load testing, stress testing, and benchmarking. Useful for profiling with phrases like 'flame graph'.
npx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin langchain-py-packThis skill is limited to using the following tools:
This skill provides automated assistance for flame graph generator tasks within the Performance Testing domain.
Guides hotspot detection and root-cause analysis via flamegraph interpretation, allocation tracking, latency profiling, and benchmark regressions. Use for latency/throughput/memory budget misses or pre-optimization.
Profiles CPU/memory hotspots with perf/JFR, generates flame graphs, reports file:line evidence for performance investigations.
Configures memory profiler setups for performance testing, providing step-by-step guidance, production-ready code, and configurations. Useful for load testing, stress testing, and benchmarking.
Share bugs, ideas, or general feedback.
This skill provides automated assistance for flame graph generator tasks within the Performance Testing domain.
This skill activates automatically when you:
Example: Basic Usage Request: "Help me with flame graph generator" Result: Provides step-by-step guidance and generates appropriate configurations
| Error | Cause | Solution |
|---|---|---|
| Configuration invalid | Missing required fields | Check documentation for required parameters |
| Tool not found | Dependency not installed | Install required tools per prerequisites |
| Permission denied | Insufficient access | Verify credentials and permissions |
Part of the Performance Testing skill category. Tags: performance, load-testing, k6, jmeter, benchmarking