Lists multiple specific concrete actions and domains: allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, hot-path optimization, and performance code review. The 'if X bottleneck, then apply Y' framing adds methodological specificity.

Clearly answers both 'what' (Golang performance optimization patterns covering allocation reduction, CPU efficiency, etc.) and 'when' (explicit 'Use when profiling or benchmarks have identified a bottleneck' and 'when performing performance code review'). Also includes explicit 'Not for' exclusions with cross-references to related skills.

Includes strong natural keywords users would say: 'performance optimization', 'profiling', 'benchmarks', 'bottleneck', 'allocation reduction', 'GC tuning', 'caching', 'hot-path', 'performance code review'. These cover a wide range of terms a Go developer would naturally use when seeking optimization help.

Highly distinctive with explicit boundary-setting via 'Not for measurement methodology' and 'Not for debugging workflow' with direct cross-references to sibling skills. This clearly carves out a niche for optimization patterns specifically, reducing conflict risk with adjacent Golang skills.

The content is lean and efficient. It avoids explaining what Go, pprof, or GC are. Every section delivers actionable patterns or decision tables without padding. The philosophy section is brief and justified (it sets behavioral constraints, not teaching basics).

The iterative methodology provides concrete commands (benchstat, go test -bench flags), and the decision tree maps signals to actions. However, the skill itself contains no executable Go code examples — the actual optimization patterns are deferred to reference files. The common mistakes table gives specific fixes but mostly as prose rather than code snippets.

The iterative optimization cycle is clearly sequenced with 8 numbered steps including explicit validation (benchstat comparison for statistical significance), a feedback loop (repeat), and discipline constraints (one change at a time). The 'Rule Out External Bottlenecks First' section adds a diagnostic pre-check before the main workflow. The decision tree provides clear routing from symptom to action.

The skill is an excellent overview document with a clear decision tree routing to well-signaled one-level-deep references (references/memory.md, references/cpu.md, etc.). Cross-references to other skills are clearly marked with → arrows. The structure is easy to navigate with the main SKILL.md serving as a hub. However, bundle files were not provided, so we cannot verify the referenced files exist.