MotherDuck

데이터

Neotask이 MotherDuck 클라우드 분석 데이터베이스에 대화식 인터페이스를 제공합니다 — 데이터베이스를 일반 언어로 쿼리하고, Dive를 관리하며, 데이터 카탈로그를 탐색합니다.

할 수 있는 것

With 13 actions, Neotask's MotherDuck integration through OpenClaw gives you a complete conversational interface over your cloud analytics platform.

쿼리 실행

  • `query` — Run read-only SQL queries and get results through conversation
  • `query_rw` — Execute read-write queries including INSERT, UPDATE, CREATE TABLE

    • Catalog & Discovery

  • `list_databases` — List all databases in your MotherDuck account
  • `search_catalog` — Search across your data catalog by table name, column, or description

    • Documentation

  • `ask_docs_question` — Get answers to DuckDB and MotherDuck documentation questions

    • Sharing

  • `list_shares` — List data shares available to your account

    • Dives (Saved Analytics)

  • `get_dive_guide` — Get guidance on creating analytical Dives
  • `save_dive` — Save an analytical exploration for reuse
  • `read_dive` — Retrieve a saved Dive
  • `update_dive` — Modify a saved Dive
  • `delete_dive` — Remove a Dive
  • `list_dives` — Browse all saved Dives
  • `share_dive_data` — Share a Dive with collaborators

    • 모든 액션은 자율적으로 실행되거나 승인을 요청합니다 — 여러분이 결정합니다.

    이렇게 물어보세요

  • "Query our sales database: total revenue by region for Q1 2026 compared to Q1 2025"
  • "What tables exist in our analytics database and what do they contain?"
  • "Create a new table in MotherDuck called 'monthly_churn' and load it from this CSV data"
  • "Save this revenue analysis as a Dive called 'Q1 2026 Revenue by Region' and share it with the finance team"
  • "Search our data catalog for any tables that contain customer email data"
  • "Run this DuckDB query and explain what it returns: SELECT * FROM parquet_scan('s3://...')"
  • "List all our saved Dives and show me which ones haven't been updated in 90 days"
  • "What shares are available in our account that I haven't queried yet?"

    • 프로 팁

  • Schedule automated business reports that run MotherDuck queries on a morning cadence and post results to Slack — daily data briefings without analyst involvement.
  • Enable approval gates on query_rw — write queries that modify your MotherDuck data deserve human confirmation before execution.
  • Connect MotherDuck with your data ingestion pipeline in an app group: when new data arrives in S3, agents automatically load it into MotherDuck and update relevant Dives.
  • Use Dives for reproducible analysis: when an agent discovers an interesting insight, it saves a Dive so any team member can reproduce and build on the finding.
  • Multi-agent teams can build complete analytics workflows: one agent queries raw data, another transforms it, and a third creates a shareable Dive with the final analysis.

    • Works Well With