agentsclimarketplace
Sign in

Motherduck explore

Skill motherduckdb/agent-skills/skills/motherduck-explore

Discover and explore databases, tables, columns, and data shares in MotherDuck. Use when you need to understand what data is available, preview table contents, or search the data catalog.From its SKILL.md

Install
npx -y skills add motherduckdb/agent-skills --skill motherduck-explore

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.

What its file declares

Copied from the file, not written here

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.0 KB, 377 tokens by cl100k_base, as published. Nobody here has run it

Explore MotherDuck Data

Use this skill when you need to discover what databases, tables, and columns exist in a MotherDuck account; preview and sample data; understand schemas and data types; find shared databases; or search the data catalog.

Prerequisites

  • An established MotherDuck connection (or an active MotherDuck MCP server)

Default Posture

  • Explore top-down: databases, then tables/views, then columns, then statistics, then sample rows.
  • Use fully qualified table names once more than one database is attached.
  • Check shared databases before concluding that data is unavailable.
  • Use the MotherDuck MCP tools (list_databases, list_tables, list_columns, search_catalog) when available because they return structured results faster than ad hoc SQL.
  • Return a concise schema map with table grain, join keys, date columns, and likely measures before moving into modeling or dashboard work.

Workflow

  1. List databases in scope.
  2. List tables and views in the target database.
  3. Inspect columns, types, nullability, and comments before writing queries.
  4. Run SUMMARIZE on important tables to understand ranges, cardinality, and null rates.
  5. Preview rows, capture grain and join assumptions, and only then move into analytical SQL or modeling work.

Open Next

  • Read references/EXPLORATION_PLAYBOOK.md for the full SQL workflow, share discovery patterns, MCP tool guidance, and common exploration mistakes

Related Skills

  • motherduck-connect for session setup and authentication
  • motherduck-query for analytical SQL after the schema is understood
  • motherduck-duckdb-sql for DuckDB syntax patterns during exploration
  • motherduck-share-data for creating and consuming shares once shared datasets become part of the workflow

What ships with it: 1 file

5.8 KB alongside SKILL.md

references/

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.