Lists multiple concrete actions: 'Writes and executes SQL queries', 'using dbt's Semantic Layer or ad-hoc SQL', 'answer business questions'. Also explicitly states what it's NOT for (validating, testing, building dbt models).

Clearly answers both what (writes/executes SQL queries against data warehouse) and when (explicit 'Use when' clause with trigger terms and examples). Also includes helpful exclusion criteria for disambiguation.

Excellent coverage of natural terms users would say: 'analytics', 'metrics', 'KPIs', 'data', plus concrete examples like 'total sales last quarter' and 'top customers by revenue' that mirror real user queries.

Very distinct niche with specific technology (dbt Semantic Layer), clear use case (answering business questions), and explicit exclusion of dbt development tasks. Unlikely to conflict with other data-related skills.

The content is lean and efficient, assuming Claude's competence with dbt, SQL, and semantic layers. No unnecessary explanations of basic concepts; every section provides actionable guidance without padding.

Provides concrete tool names, specific jq commands, executable SQL examples, and clear decision criteria. The quick reference table and approach sections give copy-paste ready guidance with specific tool sequences.

Excellent multi-step workflow with clear decision flow (mermaid diagram), explicit fallback sequences (Approach 1→2→3→4), and validation through the 'Red Flags' and 'Common Mistakes' sections that serve as checkpoints.

Content is well-organized with clear sections and tables, but it's a monolithic document. The detailed approaches, examples, and tables could benefit from being split into separate reference files with the main skill providing an overview.