Conciseness

The body is lean: quick-start code in three languages, a parameter table, two parameterized examples, output-format tables, API-specific prompt tips, and compact error codes — every section adds ElevenLabs-specific facts Claude does not already know. There is no over-explanation to trim, matching the 'every token earns its place' anchor rather than the minor-trimming anchor.

Actionability

All examples are executable and copy-paste ready (Python, JavaScript, cURL), and the parameter table gives concrete defaults, ranges (duration 0.5-30s, prompt_influence 0-1), and constraints ('v2 model only' for loop). The parameterized examples cover the common cases (looping ambient bed, short UI chime), matching the fully-executable anchor.

Workflow Clarity

This is a simple single-task skill and the single action (call the conversion endpoint and write the chunks to a file) is unambiguous across all three language examples; the per-guideline simple-skill exception applies. The error-handling section with named status codes (401/422/429) provides a feedback loop for recovery, so it satisfies the top anchor rather than stopping at a mere clear sequence.

Progressive Disclosure

The body stays at overview level and the one bundle file, references/installation.md, is real, one level deep, and clearly signaled twice (setup callout and References section); installation detail is appropriately split out of SKILL.md. Structure and navigation match the top anchor, with no content that clearly belongs in a separate reference inlined.

Specificity

The description names concrete actions — 'Generate sound effects from text descriptions using ElevenLabs' and 'Supports looping, duration control, and prompt influence tuning' — which matches the anchor for several specific actions with minor gaps (e.g., output formats and model choice are not mentioned). It falls short of the comprehensive-coverage anchor, which would require a fuller inventory of capabilities, but exceeds the 1-2-action anchor.

Completeness

It explicitly answers both what ('Generate sound effects from text descriptions using ElevenLabs. Supports looping, duration control, and prompt influence tuning.') and when ('Use when creating sound effects... or any audio that isn't speech') with concrete trigger phrases, matching the top anchor exactly. It is not a 4 because the 'when' clause is already explicit and specific rather than merely present.

Trigger Term Quality

It includes natural phrases users would say — 'creating sound effects', 'generating audio textures', 'producing ambient sounds', 'cinematic impacts', 'UI sounds', 'any audio that isn't speech' — giving good keyword coverage. A few common natural terms are still missing (e.g., 'SFX', 'foley', 'sound design'), so it does not reach the comprehensive-synonyms anchor.

Distinctiveness Conflict Risk

It occupies a clear niche (ElevenLabs sound-effect generation) and explicitly bounds the trigger space with 'any audio that isn't speech', which separates it from speech/TTS skills — minimal conflict risk, matching the top anchor. It is not a 4 because there is no meaningful overlap risk with closely related skills given that explicit boundary.