The body is a dense API reference with no concept-explanation fluff, but the asterisk-size gotcha is restated three times (body, Parameters, Troubleshooting) and the async-model warning three times, so it could be tightened. It is not a 1 because there is no padded explanation of concepts Claude knows; not a 3 because not every token earns its place.

Provides exact endpoints, JSON request bodies, response shapes, and copy-paste-ready executable Python examples with imports, matching the 'fully executable code/commands' anchor.

A numbered Recommended Workflow includes explicit checkpoints (sample-first approval for image/TTS) and the ASR path has a poll-until-SUCCEEDED feedback loop. It is not a 2 because validation checkpoints and a feedback loop are present rather than implicit.

No bundle files exist; the self-contained single-integration skill is organized into clear one-level sections with no nested references. Per the simple-skill scoring note, well-organized sections earn the top score here.

Lists multiple specific concrete actions ('image generation', 'text-to-speech', 'ASR with word-level timestamps') alongside named models, matching the 'lists multiple specific concrete actions' anchor.

Explicitly answers both 'what' (three capabilities with models) and 'when' via an explicit 'Use when...' trigger clause, matching the top anchor; it is not a 2 because the when is explicit rather than implied.

The 'Use when generating images... narrating... transcribing with word-level timestamps' clause covers natural terms a user would say, though the branded 'via Qwen-X' tie-ins are slightly less colloquial. It is not a 2 because the action keywords themselves are well-covered rather than missing common variations.

The DashScope/Qwen niche with distinct branded triggers is clearly distinguishable and unlikely to fire for unrelated skills.