The body is lean and instruction-oriented, avoids explaining concepts Claude already knows, and each section earns its place; it does not pad with library or TTS fundamentals. Minor dated tokens (a model version date and a 50 rpm cap) are operational constraints rather than concept padding.

Provides concrete executable guidance throughout: named CLI path (scripts/text_to_speech.py), install commands (uv pip install openai), a copy-paste instruction template, and concrete JSONL batch examples. The decision tree and defaults are specific rather than abstract.

The 8-step workflow is clearly sequenced with explicit validation (step 6 validates intelligibility/pacing/pronunciation) and a single-change iteration feedback loop (step 7), plus batch cleanup; checkpoints are explicit rather than implicit.

SKILL.md is an overview with a clear reference map and inline pointers to 10 one-level-deep reference files (all verified present in references/), plus use-case modules; navigation is well-signaled and content is appropriately split rather than nested.

Lists multiple concrete actions (text-to-speech narration, voiceover, accessibility reads, audio prompts, batch speech generation) and names the concrete tooling (bundled CLI scripts/text_to_speech.py, OpenAI Audio API, OPENAI_API_KEY), matching the 'lists multiple specific concrete actions' anchor.

Explicit 'Use when the user asks for...' trigger clause answers 'when', and the capability list plus tooling answers 'what', satisfying the 'both what AND when with explicit triggers' anchor.

Covers natural user-facing terms a person would actually say ('text-to-speech narration', 'voiceover', 'accessibility reads', 'audio prompts', 'batch speech generation'), giving good coverage of common phrasings.

Narrowly scoped to OpenAI Audio API TTS with a distinct trigger surface (voiceover/narration/IVR/accessibility) and an explicit out-of-scope note ('Custom voice creation is out of scope'), making conflict with other skills unlikely.