Conciseness

The body is dense with package-specific facts Claude cannot know (field names, provider defaults, error semantics) and assumes competence rather than explaining basics — e.g. 'speak() returns ... data (base64 audio), format, mimeType, transcript'. It falls short of a 5 because the intro paragraph repeats the description, and the 'Relevant API Surface' section is a ~40-symbol comma-dump that pads tokens without added guidance.

Actionability

There is one executable Core Pattern snippet ('var llm = Ax.ai("openai", java.util.Map.of("apiKey", System.getenv("OPENAI_API_KEY")))') and highly specific guidance such as concrete defaults ('gpt-4o-mini-tts with the alloy voice') and exact JSON key fallback orders. Not a 5: most speech/audio guidance is declarative prose describing behavior rather than copy-paste-ready code for the common cases, and the referenced 'examples/' directory is not present in the bundle to back the 'start from package examples' instruction.

Workflow Clarity

The body is a reference of facts rather than a sequenced process; guidance like 'Start from package examples ... before inventing a new call shape' and the no-key/provider-api split gives rough ordering, but there is no workflow with validation checkpoints for the operations it describes (e.g. verifying a speech request maps correctly). It is above anchor 2 because the When To Use and Guardrails sections do define a rough decision flow, but it matches anchor 3: sequence hints present, checkpoints missing or implicit.

Progressive Disclosure

Sections are well organized and the body points to external materials ('API.md and axir-api.json', 'axir-capabilities.json', 'examples/'), but none of those files exist in this skill's bundle, and the large inline 'Relevant API Surface' symbol list is content that belongs in a separate reference file. This matches anchor 3 — some structure, references present but not resolvable, content that should be separate is inline.

Specificity

The description lists several concrete capabilities — 'audio input/output', 'OpenAI Responses audio mapping', 'realtime event folding', and 'generated package audio examples' — anchored to a specific package. It falls short of a 5 because 'audio input/output' is broad and related capabilities covered in the body (speech rendering, transcription) are absent, leaving minor coverage gaps.

Completeness

Both what and when are explicit: the description states what it does ('audio input/output, OpenAI Responses audio mapping, realtime event folding, and generated package audio examples') and gives a concrete 'Use when writing Java code with dev.axllm:ax' trigger clause naming the exact package and task areas. This matches the anchor-5 example's structure rather than anchor 4, whose 'when' is less task-specific.

Trigger Term Quality

Good natural keyword coverage: 'Java code', 'audio input/output', 'OpenAI Responses', 'realtime event folding' are phrases a user would plausibly say. Not a 5 because common user synonyms such as 'speech', 'voice', 'transcription', or 'TTS' — which the body itself covers — are missing from the trigger phrasing.

Distinctiveness Conflict Risk

The description carves a clear niche: Java code for the specific generated package 'dev.axllm:ax' with audio/realtime semantics. It is unlikely to trigger for unrelated skills; the package name and language qualifier make conflict risk minimal.