Content
86%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-structured reference skill: fully executable Swift snippets with availability and lifecycle discipline, dense decision tables, a review checklist, and a clean one-level-deep split of extended patterns into the references bundle. Remaining gaps are minor: some repetition around attitude frames and sensor boilerplate, and no explicit validate/recover loop in the presented flows.
Suggestions
Trim the attitude-frame redundancy: the runtime frame-check is demonstrated in the Processed Device Motion snippet and again in a second 'Check available frames before use' snippet — collapse them into one (conciseness).
Consolidate the near-identical accelerometer/gyroscope examples into one pattern with a note that the gyro variant swaps rotationRate, freeing tokens for the batched/depth APIs that are currently only links (conciseness).
Add a short numbered 'setup order' (usage string → authorization status → availability → start/stop pairs) at the top of Setup so the implicit sequence becomes an explicit checkpointed flow (workflow_clarity).
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is almost entirely executable code and dense reference tables with no explanation of concepts Claude already knows, but minor redundancy could be trimmed: the attitude-frame guidance is stated three times (prose, the frame table, and a second "Check available frames" snippet) and the accelerometer/gyro examples repeat near-identical print scaffolding. This fits 'efficient; minor instances of over-explanation that could be trimmed' rather than 'every token earns its place'. | 4 / 5 |
Actionability | Every section is copy-paste-ready Swift covering the common case per sensor, including availability guards, update intervals, handler destructuring, and matching stop calls; tables give concrete values. This matches the fully-executable anchor and is not a 4 since no key detail is missing from the shown patterns. | 5 / 5 |
Workflow Clarity | Setup (Info.plist, authorization) → availability gate → start → stop is clearly sequenced, availability guards act as inline checkpoints, and the Review Checklist plus WRONG/CORRECT Common Mistakes provide verification feedback. It falls short of 5 because there is no explicit error-recovery loop (validate → fix → retry) and the setup steps are not presented as an explicitly ordered flow; no destructive/batch cap applies since this is sensor reading. | 4 / 5 |
Progressive Disclosure | Against the actual bundle, SKILL.md keeps core manager APIs inline and moves extended patterns (SwiftUI integration, batched sensors, headphone motion, water submersion) into a single clearly-signaled, one-level-deep references/motion-patterns.md with a descriptive link; navigation via Contents and section anchors is easy. This matches the score-5 anchor and is not a 4 since the split and signaling are already clean. | 5 / 5 |
Total | 18 / 20 Passed |