Individual skill
go-performance-testing
Design, run, compare, and interpret Go performance evidence using benchmarks, B.Loop, benchstat, pprof, traces, escape analysis, cache locality, false sharing, sync.Pool, GC limits, container CPU behavior, and PGO. Use when investigating Go latency, throughput, CPU, memory, allocations, contention, runtime behavior, performance regressions, or optimization claims.
plugins/LVTD-LLC/skills/skills/go-performance-testing/SKILL.md
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- go,golang,benchmarks,profiling,pprof,performance Declared skill tag
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SKILL.mdcore · 2,925 bytesagents/openai.yamlasset · 233 bytesguidelines.mddoc · 1,262 bytesreferences/performance-testing/examples.mddoc · 1,872 bytesreferences/performance-testing/knowledge.mddoc · 3,112 bytesreferences/performance-testing/rules.mddoc · 2,845 bytesworkflows/benchmark-code.mddoc · 966 bytesworkflows/evaluate-pgo.mddoc · 1,423 bytesworkflows/investigate-performance.mddoc · 1,177 bytes
Read excerpt
# Go Performance Testing
Optimize only after establishing a representative, repeatable measurement and a
specific hypothesis.
## Core Workflow
1. Define the user-visible metric and representative workload.
2. Stabilize correctness before measuring performance.
3. Write focused benchmarks with realistic inputs and controlled setup.
4. Collect repeated baseline samples in comparable conditions.
5. Use allocations, profiles, and traces to form a causal hypothesis.
6. Make one bounded change.
7. Compare repeated before/after samples statistically.