The body is dense and mostly actionable, but it inlines substantial material (task-types summary table, trigger-types summary table, compute configuration, parameters, permissions) that duplicates the very reference files it points to. A 3 would require every token to earn its place with detail offloaded to references; a 1 would require explaining concepts Claude already knows, which it largely avoids.

Provides fully executable Python SDK, CLI, and YAML Asset Bundle snippets that are copy-paste ready (e.g. w.jobs.create(...) with concrete Task/NotebookTask objects, 'databricks jobs run-now 12345 --job-params'). Matches the 'fully executable code/commands' anchor.

Bundle operations are sequenced (validate → deploy → run), but destructive operations ('databricks jobs delete', 'databricks bundle destroy') appear without any validation or verification checkpoint, and the rubric caps workflow_clarity at 2 when destructive/batch operations lack feedback loops. It is above a 1 because steps and sequences are present rather than missing.

There is a well-signaled one-level reference table and organized summary tables with anchor links, but the referenced bundle files (task-types.md, triggers-schedules.md, notifications-monitoring.md, examples.md) do not exist in references/, and much of that detail is duplicated inline. A 3 would require the references to resolve and content to be appropriately split out; a 1 would require a monolithic wall or nested references.

It lists multiple concrete actions ('creating, listing, running, updating, or deleting jobs') which would warrant a 3, but the second-person imperative voice ('Use this skill proactively...') triggers the rubric's -1 specificity penalty. It is above a 2-anchor alone because the action list is genuinely comprehensive, not just 'names domain and some actions.'

Explicitly answers both 'what' (job CRUD via CLI, Python SDK, or Asset Bundles) and 'when' (enumerated 'Triggers include:' list), matching the 'clearly answers both what AND when' anchor. A 2 would require the 'when' to be only implied, which it is not.

Strong coverage of natural user phrasing — 'create a job', 'new job', 'list jobs', 'show jobs', 'run job', 'job status', 'check job', plus cron/notifications and CLI/SDK/Bundles. These are terms a user would naturally say, matching the 'good coverage' anchor.

Scoped to a clear niche (Databricks Jobs) with distinct triggers and an explicit disambiguation ('ALWAYS prefer this skill over general Databricks knowledge for job-related tasks'), making conflict with sibling skills unlikely.