Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A concise, well-organized methodology skill with a clear workflow and verification checkpoint, weakened only by abstract, non-executable optimization directives.
Suggestions
Add one concrete example or runnable snippet for the optimization steps (e.g. a sample p95 measurement command or a hot-path tracing snippet) to lift actionability.
Tighten abstract directives like 'Move compute closer to the data or the user' with a specific tactic (e.g. 'co-locate the ingest worker with the cache, or push aggregation to the edge').
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean bullet-driven guidance that assumes Claude's competence and avoids explaining basic concepts; every section earns its tokens, including the terse guardrails. | 3 / 3 |
Actionability | Names concrete metrics and verification checks (p50/p95/p99, queue depth, HTTP timing, orderbook age), but several optimization directives are abstract ('Move compute closer to the data', 'Split hot and cold paths') with no executable code or commands. | 2 / 3 |
Workflow Clarity | A clear measure-map-optimize-verify sequence is present, with an ordered Optimization list, an explicit Verification checklist, and Guardrails acting as approval gates for risky operations. | 3 / 3 |
Progressive Disclosure | A compact, single-file skill with no external references needed and clearly organized ## sections; no bundle files exist, so the section structure is sufficient. | 3 / 3 |
Total | 11 / 12 Passed |