Query MotherDuck

SkillDatabases & data

Execute DuckDB SQL queries against MotherDuck databases. Use when running analytics, aggregations, transformations, or any SQL operation. Covers query best practices, CTEs, window functions, QUALIFY, and performance optimization.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Query MotherDuck skill

What this skill tells your AI

The instructions your AI receives, as published by motherduckdb/agent-skills in skills/motherduck-query/SKILL.md and read by ahel’s review.

Prerequisites

  • An established MotherDuck connection (or an active MotherDuck MCP server)
  • Target database and tables identified

Default Posture

  • When MotherDuck MCP is available and the query answers a business question, call get_query_guide before writing SQL. Traverse only relevant topics and validate Guide claims against the live schema.
  • Write DuckDB SQL, not PostgreSQL SQL, even when using the PG endpoint.
  • Always use fully qualified "database"."schema"."table" names.
  • Preserve result grain and check join cardinality before optimizing or materializing a query.
  • Filter early, aggregate early, and prefer serving tables or summaries for repeated reads.
  • Keep SQL obvious, multi-line, and explicit about grain, filters, and output shape.
  • Treat DDL, DML, ATTACH, DETACH, recovery commands such as CREATE SNAPSHOT, ALTER DATABASE ... SET SNAPSHOT, UNDROP DATABASE, and lifecycle commands such as SHUTDOWN as writes. Use the MotherDuck MCP query_rw tool when the user's change request authorizes the write. Ask for confirmation only when the action is destructive, externally visible, or outside the stated scope.
  • Tag long-lived integrations with custom_user_agent when the connection path supports it.

Workflow

  1. Confirm the actual tables, columns, and grain before writing SQL.
  2. Load relevant Guide context when MCP is available, without treating it as a substitute for schema inspection.
  3. Write the query in SQL first, then wrap it in Python or TypeScript only if needed.
  4. Use DuckDB-native patterns when they simplify the query; a simple lookup does not need a CTE or a materialization.
  5. Verify result shape and key aggregates. Inspect the plan when performance is part of the request or execution shows a problem.
  6. Materialize expensive repeated queries into serving tables or light views when warranted.

References

Read only the reference sections needed for the current task.

  • Read references/QUERY_PLAYBOOK.md for DuckDB query patterns, exploration SQL, performance rules, common analytical shapes, and common mistakes

Related Skills

Load related skills only for missing capabilities; reuse established context.

  • motherduck-connect for session setup
  • motherduck-duckdb-sql for syntax and function reference
  • motherduck-explore for understanding the source schema before writing queries
  • motherduck-manage-guides when semantic definitions or reusable query rules need to be read or maintained

Signals

GitHub stars
58
Forks
4
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
motherduck-query
Source
github.com/motherduckdb/agent-skills