Content
85%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-organized, actionable skill body with a decision tree, executable MetricKit code, a verify-step workflow, and properly disclosed one-level-deep references. The only weakness is mild redundancy between the Workflow and Profiling Ground Rules sections.
Suggestions
Remove the overlap between Workflow step 3 ('Prefer real device profiling with a Release build and representative data') and the Profiling Ground Rules, which restate the same three points — keep the rationale in one place and reference it.
Consider whether the Xcode Diagnostics table adds enough over the Quick Reference table to earn its tokens, or fold the most relevant rows into the Quick Reference.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Mostly efficient with no concept-over-explanation, but the device/Release/representative-data advice is restated in both the Workflow (step 3) and the Profiling Ground Rules section, so it could be tightened. | 2 / 3 |
Actionability | Provides a decision tree routing problems to specific reference files, a Quick Reference tool/metric table, and complete executable MetricKit Swift code — copy-paste ready. | 3 / 3 |
Workflow Clarity | Six clearly sequenced steps with an explicit verification/re-profile checkpoint (step 6) closing the feedback loop. | 3 / 3 |
Progressive Disclosure | The body is a concise overview pointing to real, one-level-deep reference files (time-profiler, memory-profiling, launch-optimization, energy-diagnostics), all clearly signaled in the decision tree and References list. | 3 / 3 |
Total | 11 / 12 Passed |