Conciseness

The body avoids explaining concepts Claude already knows and is dense with package-specific facts, but it is noticeably overloaded: a Java skill carries cross-language parity notes ("Python, Go, and Java accept fileToText...; C++ exposes file_to_text, and Rust exposes with_file_to_text", five-language addChildAgent spellings, C++/Rust authorizer names), and long run-on policy sentences (the sampling and Anthropic/Gemini temperature rules) that could be tightened. It sits between anchor 3 and anchor 4 — efficient in tone but with substantial trimmable content — so 3 rather than 4.

Actionability

Concrete identifiers, defaults, and error messages are given throughout (Ax.ai, AxBalancerAdaptiveStrategy, retry statuses '500, 408, 429, 502, 503, 504 and 529', 'AxAIServiceTimeoutError'), but only one small runnable snippet exists ('var llm = Ax.ai("openai", java.util.Map.of(...))') for a very large API surface. Most sections are declarative policy ('Use X for Y', 'X fails before transport') rather than executable Java shapes, and the promised examples live outside the body. This is 'some concrete guidance but incomplete' (anchor 3) rather than 'concrete code with minor gaps' (anchor 4).

Workflow Clarity

There is no multi-step sequence anywhere: the body is a topic-organized policy catalog with decision rules ('Use the multi-service router when...', 'Opt into AxBalancerAdaptiveStrategy only for...') rather than ordered steps with checkpoints. The 'When To Use' list and per-section decision rules give partial direction, but no validation checkpoints or feedback loops are shown for fragile operations (e.g., no verify step around retries or credential callbacks). This matches anchor 3 (guidance present, sequence/checkpoints largely implicit); it is above anchor 2 because the decision rules are specific and coherent, and the no-validation cap does not apply since no destructive or batch operations are involved.

Progressive Disclosure

No bundle files exist (no references/, scripts/, or assets/), so the entire ~160-line policy catalog is inlined in SKILL.md, including deep detail that belongs in reference files (Typesafe scoring rules, per-provider sampling rules, the Astra session lifecycle). Section headers are clear and external materials are named ('API.md and axir-api.json', 'examples/'), which lifts it above anchor 2's 'minimal structure', but the inline-heavy monolithic body fits anchor 3 ('content that should be separate is inline') rather than anchor 4's appropriately split layout.

Specificity

The description names the domain ("writing Java code with `dev.axllm:ax`") and lists several specific capability areas: "named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers". These are mostly capability nouns rather than concrete actions (compare anchor 5's 'extract text, fill forms, merge documents'), and coverage has minor gaps (e.g., retries, timeouts, Typesafe), matching anchor 4.

Completeness

Both parts are explicitly present: the 'when' is the leading clause "Use when writing Java code with `dev.axllm:ax`" and the 'what' is the enumerated feature list that follows. It matches anchor 4 ("Has both 'what' and 'when'; 'when' could be more explicit or specific") rather than anchor 5, because the trigger condition is a single gate (Java + the package) without enumerated trigger contexts like 'when the user mentions deployment profiles or failover'.

Trigger Term Quality

Natural terms users would actually say are present: "Java", "OpenAI", "Gemini", "Anthropic", "Responses", "routers", "balancers", "model selection". Common variations a user might say are missing — e.g., "LLM", "chat completions", "failover", "streaming" — so it fits anchor 4 (good coverage, a few natural terms missing) rather than anchor 5's comprehensive synonym coverage.

Distinctiveness Conflict Risk

The `dev.axllm:ax` package name plus the Java language constraint give it a clear, distinct niche unlikely to fire for unrelated skills. However, the bare provider names "OpenAI-compatible calls, Responses, Gemini, Anthropic" create minor overlap risk with generic provider-specific skills, matching anchor 4 ('mostly distinct; minor overlap risk with closely related skills') rather than anchor 5's minimal-conflict profile.