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From debugging
CPU/memory profiling, identifying bottlenecks, flame graphs, hotspot analysis.
npx claudepluginhub sethdford/claude-skills --plugin engineer-debuggingHow this skill is triggered — by the user, by Claude, or both
Slash command
/debugging:performance-profilingThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Finding where code spends time and memory.
Provides a language-neutral workflow for performance analysis: flamegraph interpretation, allocation tracking, latency profiling, and regression measurement. Activates when latency, throughput, or memory budgets are missed.
Profiles CPU/memory hotspots with perf/JFR, generates flame graphs, reports file:line evidence for performance investigations.
Profiles apps to identify CPU/memory bottlenecks using runtime tools: clinic.js/0x for Node.js, py-spy/cProfile for Python, Chrome DevTools/Lighthouse for frontend. For slow apps, leaks, high CPU.
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Finding where code spends time and memory.
You are profiling code to find bottlenecks. Use CPU and memory profilers.