Conciseness

The body is dense and instructional — a parameter-mapping table, a YAML template, and specific gotchas ("A PAT allows only one in-flight request at a time, so prefer a Connected App") with no padding about concepts Claude already knows. Minor trim opportunities exist: the datasource-refresh note appears twice (blockquote under YAML Structure and again as a Gotcha), and the after-example largely restates the template — keeps it at 4 rather than 5.

Actionability

Fully executable guidance: a complete parameter-mapping table, a copy-paste-ready Orchestra YAML block with every required field (`integration`, `integration_job`, `connection`, `parameters`), a concrete before/after pair with real values, and a worked alternative for the datasource case (`TABLEAU_REFRESH_EXTRACT` with `parameters.datasource_name`). The common conversion cases are covered end-to-end.

Workflow Clarity

"Conversion Steps" gives a clear 5-step sequence (identify task → create/verify connection → replace operator → drop sensor → wire dependencies), and step 2 includes verification of the connection. It stops short of anchor 5 because there is no explicit post-conversion validation checkpoint (e.g., test the pipeline or confirm the workbook name resolves) — checkpoints are implicit in the Gotchas rather than wired into the workflow.

Progressive Disclosure

No bundle files exist (no references/, scripts/, or assets/), and the single-file body is well-sectioned (Overview → mapping → structure → steps → example → gotchas → references). It correctly defers full alert-schema details to the sibling `slack-airflow-to-orchestra` skill and links external docs, but the ~130-line body with an inline full alerts YAML example is content that could arguably live one level deeper — anchor 4 rather than 5.

Specificity

Names a concrete, well-scoped action — "convert an Airflow task that uses TableauOperator or TableauRefreshWorkbookOperator (apache-airflow-providers-tableau) into an equivalent Orchestra pipeline task targeting Tableau Cloud" — with exact operator names and the target platform. It sits at 4 rather than 5 because it describes one conversion action rather than enumerating several capabilities (e.g., wiring dependencies or configuring connections), and above 3 because the single action is specified far more precisely than '1-2 concrete actions' with gaps.

Completeness

Explicitly answers both questions: the 'what' is converting Tableau Airflow operator tasks to an Orchestra TABLEAU_CLOUD pipeline task, and the 'when' is given twice — "Use this skill when the user wants to..." plus a dedicated "Triggers:" clause with concrete trigger phrases. This matches the anchor-5 example structure exactly.

Trigger Term Quality

The trigger clause covers natural phrasings users would say — "migrating or rewriting Tableau Airflow tasks to Orchestra" — plus the exact identifiers that appear in DAG code (TableauOperator, TableauRefreshWorkbookOperator, TableauJobStatusSensor). A few natural variants are missing (e.g., 'Tableau Cloud migration', 'convert DAG to Orchestra'), keeping it below the comprehensive 5 anchor.

Distinctiveness Conflict Risk

A clear niche (Tableau-specific Airflow→Orchestra conversion) with distinct triggers anchored on Tableau operator class names; no other plausible skill would fire on these triggers except sibling conversion skills it explicitly complements. Minimal conflict risk.