The warehouse surface: canonical SQL standards for trustworthy analytics, and Snowflake ACCOUNT_USAGE auditing for masking, row access, classification, tags, grants, logins, and query history. Invoke as /data:<skill-name>.
Plugin data from marketplace data-engineering-skills in victormacaubas/data-engineering-skills. Commands read from the repo's manifest — 8 days ago.
data-governanceDeep reference for querying Snowflake's SNOWFLAKE.ACCOUNT_USAGE schema to answer data governance questions — masking policies, row access policies, classification, tags, access history, role/grant hierarchies, login auditing, and query auditing. Use this skill whenever the user asks about Snowflake
sql-data-analysisCanonical SQL standards for analytics, reporting, extraction, transformation, and review work. Use when writing, reviewing, debugging, simplifying, or optimizing analytical SQL, including SELECT queries, CTEs, joins, aggregations, window functions, date logic, dimensional models, views, CTAS tables,
How work gets driven from an unformed idea to something tracked and built: exploring, pressure-testing, delegating implementation, ticketing, and capture. Invoke as /flow:<skill-name>. The scout skill requires the separately installed pathfinder and researcher agents; orchestrate requires implementer, pathfinder, researcher, structure-reviewer, and test-author.
6 skills
How code gets written and checked: architectural baselines, Python standards, and the defect and structure reviews that gate a finished change. Invoke as /craft:<skill-name>. The architecture-baseline skill requires the separately installed researcher agent.
4 skills
Claude Code only. Optional. Denies the implementer agent file edits on the test tree and the test-author agent file edits on production code. Without it, both agents are bounded by their instructions only.
Claude Code only. Shows the SQL that the main session and its subagents run through the snowflake-raw MCP server in a pane, grouped by agent. Requires the snowflake-raw MCP server.
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