ln-31-performance-optimizer
SolidOptimizes a measured latency, throughput, memory, CPU, or I/O problem through profiling and keep-or-discard experiments. Use for a known bottleneck; not unbiased A/B comparison.
Install
Quality Score: 90/100
Skill Content
Details
- Author
- levnikolaevich
- Repository
- levnikolaevich/claude-code-skills
- Created
- 9 months ago
- Last Updated
- 4 days ago
- Language
- HTML
- License
- MIT
Integrates with
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performance-optimizer
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performance-profiler
Systematically finds and fixes performance bottlenecks by measuring first, profiling hot paths, reducing algorithmic and I/O cost, and verifying gains with before/after benchmarks. Use this skill when code, an endpoint, a page, a query, or a job is "slow", "laggy", "timing out", "using too much CPU/memory", or "doesn't scale"; when asked to optimize, speed up, profile, or benchmark something; when chasing high latency / low throughput, p99 spikes, memory leaks, N+1 queries, or excessive allocations; or before/after a perf-sensitive change to prove it actually helped. Covers Python, Node/JS, Go, Java, SQL, and HTTP/web frontends.
ln-34-benchmark-comparator
Compares tools or implementations through reproducible A/B workloads, correctness oracles, and controlled measurements. Use to choose alternatives; not to optimize a known bottleneck.