Content
100%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A lean, well-structured performance methodology skill: concrete commands and thresholds, an explicit measure-diagnose-improve-compare workflow with validation, and clean one-level-deep references to verified bundle files.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Dense, information-rich body of tables, decision trees, and pointers that assumes Claude's competence; avoids explaining concepts Claude already knows (no "what is pprof" padding). | 3 / 3 |
Actionability | Provides concrete executable commands and thresholds — `go test -bench=... -benchmem -count=6`, `benchstat report-1.txt report-2.txt`, "GOMEMLIMIT to 80-90%", "MaxIdleConnsPerHost defaults to 2" — and maps pprof signals to specific actions. | 3 / 3 |
Workflow Clarity | The iterative cycle is an explicitly numbered 8-step sequence with a validation checkpoint (benchstat compare for statistical significance), a commit step, and a repeat/feedback loop. | 3 / 3 |
Progressive Disclosure | Clear overview routing to one-level-deep reference files (memory.md, cpu.md, io-networking.md, runtime.md, caching.md, observability.md), all of which exist in ./references/, with cross-references to sibling skills. | 3 / 3 |
Total | 12 / 12 Passed |