Augment a Wren project with business context that DB schema cannot carry — enum value meanings, units (USD vs cents, ms vs sec), NULL semantics, magic sentinels (-1 = unknown), soft-delete default filters, business synonyms, time-grain / TZ conventions, cross-system identifiers, currency rules, canonical-table…
This skill should be used when the user wants to evaluate an AI agent end-to-end: scaffold an evaluation, design metrics that test a real hypothesis, make an agent measurable, audit generated eval config, read evaluation results, or run an improvement ("hill climbing") loop. Covers evaluation methodology, metric…
Guide migration from an existing Metabase instance to a Bonnard semantic layer. Use when user says "migrate from metabase", "import metabase", "metabase to semantic layer", or has Metabase data they want to model.
The catalog agent is the knowledge hub of the Data Workers swarm. It crawls, indexes, and serves metadata about every data asset across an organization's stack — tables, views, models, pipelines, dashboards, and metrics. It provides natural-language search, column-level lineage, quality scoring, and automated…
Audit SQL for the cost & performance anti-patterns that burn warehouse credits. Catches SELECT , full-table scans, non-sargable predicates, Cartesian joins, NULL-trap NOT IN, and 17 more rules. Scores warehouse health 0-100 and outputs a prioritized cost-reduction plan for BigQuery, Snowflake, Redshift, and Postgres.
Skill "sql_optimizer" from G-Schumacher44/strata-oss, covering skill: sqloptimizer, trigger, inputs, allowed tools and forbidden.
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