Conciseness

The body is dense and assumes competence — it never explains basics Claude already knows — but it is not lean: e.g., the Go skill carries cross-language material ("C++ uses valueDescriptions on its existing field descriptors", "Python, Go, and Java accept fileToText in router processing options; C++ exposes file_to_text, and Rust exposes with_file_to_text") and ultra-fine policy ("accepted with an allowance for floating-point summation error") that could be tightened. This sits between anchor 2's padded verbosity and anchor 4's efficient-but-trimmable text.

Actionability

Concrete identifiers abound (`AxAIServiceTimeoutError`, `retryableStatusCodes` with defaults "500, 408, 429, 502, 503, 504 and 529", `JoinStreamText(text, delta)`) but across ~160 lines of a code skill there is only one 2-line snippet (`llm := ax.NewAI("openai", map[string]ax.Value{...})`), leaving common cases like credential providers, routers, and balancers without executable examples. Anchor 4 requires mostly executable guidance with only minor gaps, which this does not meet; it is clearly above the high-level-hints level of anchor 2.

Workflow Clarity

Conditional decision rules exist ("Use `provider-api` examples only when the user explicitly has provider credentials available", "Start from package examples for exact native syntax before inventing a new call shape"), but the body is a topic reference rather than a sequenced workflow, and no validation/verification checkpoints appear (e.g., verifying generated request payloads against the fixtures). It is organized but the sequence-and-checkpoint anchors at 4 are not met.

Progressive Disclosure

Section headers are clear and the Package Facts block signals reference material, but no bundle files exist: all fine-grained policy (per-model sampling rules, retry backoff math, Astra session semantics) is inlined in one ~160-line document, and the referenced paths (`API.md`, `axir-api.json`, `src/examples/go/generation/`, `https://axllm.dev/go/examples/generation/`) point into the package or web rather than skill-owned reference files. This matches anchor 3: some structure, but content that should be separate is inline and the skill's own navigation layer is absent.

Specificity

Quotes several concrete capability areas — "named deployment profiles, generic provider clients, model selection, OpenAI-compatible calls, Responses, Gemini, Anthropic, routers, and balancers" — which is more than the 1-2 actions of anchor 3, but a few entries are bare nouns ("Responses", "routers") rather than fully described actions, leaving minor gaps in coverage versus the comprehensive anchor 5.

Completeness

The explicit trigger "Use when writing Go code with `github.com/ax-llm/ax/packages/go`" clearly answers "when", and the capability list conveys "what". Not anchor 5 because the "what" is delivered as a topic list rather than an explicit statement of the skill's action, and the trigger, while explicit, is a single condition rather than multiple concrete trigger phrases.

Trigger Term Quality

Natural phrases like "writing Go code", "OpenAI-compatible calls", "Gemini", "Anthropic", and "routers" match what a user working with this package would actually say, giving good keyword coverage. Not anchor 5 because some common variations (e.g., "failover", "provider clients", "LLM", "API keys") a user might naturally mention are absent.

Distinctiveness Conflict Risk

The fully qualified package path `github.com/ax-llm/ax/packages/go` plus vendor-specific names (Gemini, Anthropic, Responses) carve out a clear niche that only applies to this specific Go package, with minimal overlap risk against generic Go or provider skills.