Conciseness

Lean and efficient throughout: dense, non-obvious domain facts (result keys, provider defaults like "gpt-4o-mini-tts" and "voxtral-mini-tts-2603", error behaviors, fallback orders) with zero padding and no explanation of concepts Claude already knows. Every token earns its place.

Actionability

Highly concrete guidance — exact field names, content-type parsing rules, "AxAIClient::speak(request)" signatures, and per-provider defaults — but the single code snippet ("let llm = ai("openai", options)?;") is not copy-paste executable and runnable detail is deferred to examples/. Matches the 4 anchor (mostly executable, minor gaps); not 3 because real specifics replace pseudocode.

Workflow Clarity

No destructive or batch operations, so no cap applies; guidance is unambiguous for a single-purpose skill and the guardrail "if package docs disagree with source code, update the compiler and regenerate packages" serves as a feedback loop. Held at 4 rather than 5 because there is no explicit step sequence for common tasks (e.g., adding speech to a provider client).

Progressive Disclosure

Well-organized sections with one-level-deep, clearly signaled references in Package Facts ("API.md", "axir-api.json", "axir-capabilities.json", "examples/"). Minor gap: the ~30-name "Relevant API Surface" list is inline content that could live in a reference file; matches the 4 anchor (good structure, minor organization gaps).

Specificity

Lists several specific capability areas — "audio input/output, OpenAI Responses audio mapping, realtime event folding, and generated package audio examples" — rather than vague claims. Not 5 because these are noun-phrase scopes without action verbs, and areas the body covers (speech request defaults, audio input handling) are absent.

Completeness

An explicit "Use when writing Rust code with `axllm`..." trigger is present, and the for-clause conveys the scope, so both what and when are covered. Not 5 because the "what" is only implied by the scope list — the description never states what the skill does (e.g., helps write/generate such code) as an action.

Trigger Term Quality

Good natural keywords: "Rust", "audio input/output", "OpenAI Responses", "realtime". A few natural terms users would say are missing ("speech", "TTS", "voice", "transcription"), which keeps it at 4 rather than 5; coverage is clearly better than the sparse 3-anchor example.

Distinctiveness Conflict Risk

Clear niche — Rust code with the `axllm` package for audio/realtime — with distinct triggers that would not fire for unrelated skills. The only conceivable overlap is a general `axllm` skill, which the audio/realtime qualifiers separate cleanly.