Conciseness

Lean and efficient — dense tables, a decision tree, and one-level-deep references assume Claude's competence; directive heuristics like 'intuition about bottlenecks is wrong ~80% of the time' earn their place rather than padding.

Actionability

Copy-paste-ready commands ('go test -bench=... -benchmem -count=6', 'benchstat /tmp/report-1.txt /tmp/report-2.txt') and concrete fixes ('slog.LogAttrs', 'GOMEMLIMIT to 80-90%'), but the actual optimization code patterns live in references rather than inline in the body.

Workflow Clarity

An explicit 8-step iterative cycle (Define → Benchmark → Diagnose → Improve → Compare → Commit → Repeat) with benchstat as the validation checkpoint and 'apply ONE optimization at a time' as the error-prevention discipline.

Progressive Disclosure

Clear overview with well-signaled one-level-deep references (e.g. '[Memory optimization](references/memory.md)') — all six referenced files verified to exist — and content appropriately split between methodology inline and deep patterns in references.

Specificity

Lists multiple specific concrete actions with comprehensive coverage: 'allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization', framed by the directive 'if X bottleneck, then apply Y'.

Completeness

Explicitly answers both what ('Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization') and when ('Use when profiling or benchmarks have identified a bottleneck...') with concrete trigger phrases.

Trigger Term Quality

Good natural keyword coverage with 'Use when profiling or benchmarks have identified a bottleneck' and 'performance code review', but lacks the synonym/file-extension breadth that anchor 5 requires.

Distinctiveness Conflict Risk

Clear niche with explicit boundary guidance — 'Not for measurement methodology (→ See ...golang-benchmark skill) or debugging workflow (→ See ...golang-troubleshooting skill)' — minimizing conflict with sibling skills.