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motherduck-query

该 Skill 指导在 MotherDuck 上编写、执行和优化分析型 DuckDB SQL:先确认表结构与粒度,可借助 MotherDuck MCP 的查询指南,再写出多行显式 SQL,必要时用 Python 或 TypeScript 包装,并校验结果与执行计划。写入类操作仅在用户授权时执行。

motherduckdb
热度 0.00
最近更新 2026-10-19 00:08:44
分类:数据依赖:第三方 API / MCP 服务 / 代码执行应用场景:数据处理 / 报告撰写

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add motherduckdb/agent-skills/motherduck-query
Metadata
name
motherduck-query
description
Write, execute, or optimize analytical DuckDB SQL against MotherDuck data.
license
MIT

Query MotherDuck

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