Lean and dense with actionable specifics — it assumes Claude's competence and avoids explaining basic concepts, spending tokens only on skill-specific guidance (logs-vs-query decision, cursor-mode distinction, mic-state caveat).

Provides fully executable commands — `miloco-cli perceive devices`, `miloco-cli perceive logs --since 1h --jsonl`, `perceive query --source cam_001 --source cam_002 --query "猫在干嘛"` — with copy-paste-ready worked examples covering single-room, whole-home, and recent-event cases.

Clear four-step sequence (解析→获取摄像头→查日志/实时查询→回复) with a decision tree mapping logs vs query, plus an exception-handling table and a feedback loop (query fails/empty → fall back to logs; `code=0` ≠ success check), giving explicit validation checkpoints.

Self-contained with well-organized sections (workflow, examples, exceptions, rules) and no nested references; the single external pointer (miloco-miot-scope for mic control) is signaled inline at one level of depth.

Lists multiple concrete actions — "调用摄像头看画面、听现场声音，或回顾近期事件来判断" and "通过画面核实设备的开关状态（如开着/关着、亮着/灭着）" — rather than vague abstractions. It even scopes a limitation (cannot read invisible values like temperature/humidity), adding further specificity.

The "what" is thoroughly covered, but the "when" is only implied through scenario descriptions and the conditional "尤其在拿不到设备上报状态时"; there is no explicit 'Use when...' trigger clause, which per the judging guidelines caps completeness at 2.

Uses natural phrases a user would actually say — "在干嘛、有什么动静、是否有人说话/吵闹、刚才/最近发生了什么" and "开着/关着、亮着/灭着" — giving good coverage of colloquial trigger terms rather than technical jargon.

Occupies a clear niche (smart-home camera-based perception via miloco-cli/Omni) with distinct triggers and an explicit negative scope ("读不出画面看不见的具体数值"), making conflict with other skills unlikely.