Motherduck Duckdb Sql logo

Motherduck Duckdb Sql

Organization
motherduckdb
motherduck-duckdb-sql

Look up or repair DuckDB SQL syntax and verify MotherDuck-specific command and feature support.

Overview

Publishermotherduckdb
Repositoryagent-skills
Skill namemotherduck-duckdb-sql
Stars
62
Forks
6
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by motherduckdb on GitHub. Read the source before you install it.

Installation

Install the Motherduck Duckdb Sql AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/motherduckdb/agent-skills/tree/main/plugins/motherduck-skills-claude/skills/motherduck-duckdb-sql
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/motherduckdb/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/plugins/motherduck-skills-claude/skills/motherduck-duckdb-sql .claude/skills/motherduck-duckdb-sql
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Motherduck Duckdb Sql in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Motherduck Duckdb Sql on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Motherduck Duckdb Sql is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

DuckDB SQL Reference for MotherDuck

Source Of Truth

  • Prefer current DuckDB SQL docs for language features and function semantics.
  • Use current MotherDuck SQL docs for MotherDuck-only commands such as shares, secrets, snapshots, and Dive operations.
  • MotherDuck can lag upstream DuckDB releases for client compatibility; check MotherDuck version-lifecycle docs before promising newly released DuckDB syntax or types are available.
  • If the connection path matters, verify behavior against the current Postgres-endpoint docs before promising server-mode support.

Default Posture

  • Write DuckDB SQL, not PostgreSQL SQL, even when the client connects through the Postgres endpoint.
  • Prefer fully qualified "database"."schema"."table" names; they are required once more than one database or share is attached.
  • Prefer DuckDB-native constructs when they simplify the query: GROUP BY ALL, QUALIFY, UNION BY NAME, arg_max, EXCLUDE, and REPLACE.
  • When porting SQL from another engine, translate functions, date arithmetic, identifier quoting, and type casts explicitly instead of assuming compatibility.
  • Verify current MotherDuck support before relying on recently released upstream DuckDB features such as VARIANT, native GEOMETRY, MERGE INTO, or date_trunc return-type changes.
  • Check whether the statement depends on local files, extension install/load, temporary-table behavior, or other client-only features before claiming it will work in MotherDuck.
  • Treat snapshot, restore, and UNDROP DATABASE statements as operational SQL with plan-specific retention behavior, not ordinary analytical syntax.
  • Treat INCLUDE_PATTERN as whole-table/view filtering on a Share. Row filters, hidden columns, and masking use share secure views (WITH SECURE VIEW ... REPLACES <table> AS (SELECT ...), ALTER SHARE ... ADD|DROP SECURE VIEW), which are unrelated to DuckDB's CREATE SECURE VIEW optimizer barrier.
  • Distinguish physical import (CREATE DATABASE ... FROM '<file-url>', including a DuckDB file in cloud storage such as 's3://bucket/app.db') from zero-copy clone sources. Reject filtered shares and shares with secure views as clone sources; use COPY FROM DATABASE instead.
  • Use role/grant SQL for governed access and audit it with SHOW ... statements; do not preserve ACCESS ORGANIZATION as the preferred RBAC pattern.
  • Treat MotherDuck SQL as an additional surface on top of DuckDB SQL, not a replacement for it.
  • MotherDuck adds SQL AI functions: prompt() for generated or structured text, embedding() for vectors, and prompt_jev() for typed classification, scoring, yes/no probabilities, and image bounding boxes. See motherduck-query for usage and cost rules.

Workflow

  1. Confirm the connection path and whether the question is about syntax, feature support, or a specific error.
  2. Write or repair the statement in DuckDB SQL first.
  3. Verify any MotherDuck-only command or server-mode limitation against the current docs.
  4. If the user needs exact syntax or function details, open references/SYNTAX_REFERENCE.md.

References

Read only the reference sections needed for the current task.

  • Read references/SYNTAX_REFERENCE.md for DuckDB data types, friendly SQL features, functions, complex types, and common MotherDuck-specific gotchas.

Related Skills

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

  • motherduck-query for writing and validating analytical SQL against live MotherDuck data
  • motherduck-connect when syntax support depends on PG endpoint versus native DuckDB behavior
  • motherduck-explore when the problem is really missing schema context rather than missing syntax knowledge

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Motherduck Duckdb Sql AI skill do?

Look up or repair DuckDB SQL syntax and verify MotherDuck-specific command and feature support.

Why use Motherduck Duckdb Sql on TypingMind?

Because you install it once and use it with any model. Motherduck Duckdb Sql is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Motherduck Duckdb Sql in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/motherduckdb/agent-skills/tree/main/plugins/motherduck-skills-claude/skills/motherduck-duckdb-sql. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Motherduck Duckdb Sql?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Motherduck Duckdb Sql?

As many as you like. As long as a model supports skills, you can use Motherduck Duckdb Sql with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Motherduck Duckdb Sql AI skill free?

Yes. It is published on GitHub by motherduckdb under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇