Conciseness

The body is efficient — no explanation of concepts Claude already knows (no 'what is Airflow'), tight tables, and every section earns its place. Minor trimmable instances keep it below the top anchor: the Option B example repeats the full coordinators JSON from Option A in flattened form, and the JUL `logging.properties` paragraph drifts into deploy-skill logging-integration territory.

Actionability

Fully executable guidance: complete `airflow.cfg` blocks, ready-to-export env-var strings with the 'valid one-line JSON' gotcha called out, per-parameter tables with defaults and required flags, concrete verification commands (`java -version` via `astro dev bash` or `docker compose exec`), and a symptom→fix troubleshooting table. Copy-paste ready and covers the common cases.

Workflow Clarity

The implicit sequence (prerequisites → register coordinator → map queue → per-coordinator kwargs → verify → troubleshoot) is clearly sectioned, and 'Verifying the configuration' is an explicit numbered validation checklist with an expected outcome ('you should see the subprocess start and your task output'). The troubleshooting table provides error-recovery feedback loops (symptom → likely cause → fix), matching the top anchor.

Progressive Disclosure

Good single-file structure with clear headers, well-signaled links to sibling skills (authoring-*/deploying-*) and a Related Skills index. However, no bundle files exist and all per-coordinator detail (parameter tables, the JUL logging recipe) is inlined; as more coordinators land (the body itself anticipates 'Add a subsection here as new language SDKs land'), this content belongs in per-coordinator reference files, which is the minor organization gap versus the top anchor.

Specificity

Lists multiple concrete actions — "register a coordinator, map a queue to it, ensure the runtime/artifact on workers, and tune coordinator options" — plus the exact config surfaces (`coordinators`, `queue_to_coordinator`, `jars_root`, `executables_root`). This matches the top anchor's comprehensive coverage; the score-4 anchor requires 'minor gaps in coverage' and none are evident for this skill's scope.

Completeness

Explicitly answers both questions: the 'what' is "Configures Airflow to run language SDK tasks... register a coordinator, map a queue to it..." and the 'when' is a full "Use when the user wants..." clause with concrete triggers. This is the anchor-5 pattern; the explicit trigger clause means it is not capped at 3.

Trigger Term Quality

Covers the natural phrasings a user would actually say: "route a queue to a native-language coordinator", "why their native tasks aren't being picked up", plus exact identifiers like `AIRFLOW__SDK__COORDINATORS`, `task_startup_timeout`, JavaCoordinator/ExecutableCoordinator, Java, Go, and Airflow. Both symptom-based and setting-based triggers are present, matching the comprehensive-synonyms anchor.

Distinctiveness Conflict Risk

Clear niche — coordinator/queue routing configuration — with distinct triggers (specific `[sdk]` setting names and env vars) that would not fire for sibling authoring/deploying skills. Distinct from generic Airflow-deployment skills because the triggers name coordinator-specific keys.