Conciseness

The skill is scoped to Go yet repeatedly inlines other languages' naming variants ('add_child_agent in Python/C++, AddChildAgent in Go, addChildAgent in Java, with_child_agent in Rust'), 'as in TypeScript' comparisons, and reference-grade minutiae (the 0.01 probability tolerance, '1–255 labels', per-model sampling rules) — noticeably verbose even though individually accurate. It is above the lowest anchor because nothing explains concepts Claude already knows; it is dense package fact, not padded prose, but much of it does not earn its place for the stated Go use case.

Actionability

Concrete identifiers, defaults, and error semantics appear throughout ('JoinStreamText(text, delta)', 'initialDelayMs * backoffFactor ** attempt', retryable status codes 500/408/429/502/503/504/529, 'NewAI("vertex-ai", options)' with 'AxCredentialProviderFunc'), which exceeds high-level hints. However only one complete code snippet exists (the three-line Core Pattern) and the primary executable path — 'Start from package examples' / 'examples/adaptive_balancer_no_key' — references files absent from the bundle, leaving key details missing.

Workflow Clarity

Topic-organized sections, a 'When To Use' task list, and the Core Pattern give a recognizable entry point, and ordering constraints are stated where they matter ('Register child agents before running the parent'). But multi-step tasks such as adaptive balancer setup or credential-provider configuration are described declaratively with no explicit step sequences or validation checkpoints, matching the anchor for steps present but checkpoints missing or implicit. No destructive or batch operations require validation caps.

Progressive Disclosure

There is real structure (clear ## sections, a 'Package Facts' manifest, and a 'Relevant API Surface' index) and references are clearly signaled by name ('API.md', 'axir-api.json', 'examples/'). But ~164 lines of reference-grade detail (Astra session internals, Typesafe probability rules, per-provider sampling tables) are inlined monolithically, and none of the referenced files exist in the bundle — the disclosure path points at files that are not there. This fits the anchor for structure present but content that should be separate is inline; it avoids the lower anchor because headers and navigation aids are genuine.

Specificity

The description enumerates concrete capability areas ('named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers') anchored to the exact package path. This matches the anchor for listing several specific items with minor gaps; it falls short of the top anchor because the items are topic nouns rather than comprehensive verb-led actions.

Completeness

An explicit 'Use when writing Go code with `github.com/ax-llm/ax/packages/go`' trigger with concrete phrases answers 'when' clearly, and the for-clause enumerates capabilities that convey 'what'. It is not the top anchor because 'what' is fused into the when-clause rather than stated as an independent capability description.

Trigger Term Quality

Natural terms a user would say are well covered ('Go code', 'OpenAI', 'Gemini', 'Anthropic', 'Responses', 'routers', 'balancers'), matching good keyword coverage with a few natural terms missing. Not comprehensive: obvious synonyms like 'Ax', 'AxLLM', 'LLM', 'chat completions', or 'streaming' are absent.

Distinctiveness Conflict Risk

The named package path carves out a clear niche with distinct triggers, but bare tokens like 'Gemini', 'Anthropic', and 'OpenAI-compatible calls' could pull in general provider-API questions unrelated to this package — minor overlap risk with closely related skills.