Browse skills

Create, consume, or manage MotherDuck data shares, including audience grants, table filters, and refresh policy.

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Plan or implement migrations to MotherDuck with SQL translation, source-to-target validation, cutover, and rollback.

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Build MotherDuck analytics into customer-facing applications with tenant isolation, backend routing, and serving APIs.

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Create, edit, publish, share, or embed MotherDuck Dives using their React and SQL runtime.

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Set up or troubleshoot MotherDuck connections, authentication, client runtimes, and read scaling.

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Evaluate or operate DuckLake on MotherDuck when open table formats, bucket ownership, or file maintenance matter.

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Read or maintain MotherDuck Guides for business definitions, join rules, and reusable warehouse conventions.

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Standardize MotherDuck delivery across client engagements with reusable provisioning, isolation, and handoff patterns.

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Write, execute, or optimize analytical DuckDB SQL against MotherDuck data.

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Administer MotherDuck service accounts, tokens, Ducklings, and Dive embed sessions through the control-plane REST API.

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

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Create, run, schedule, or debug MotherDuck Flights, Python jobs executed on MotherDuck compute.

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Use the MotherDuck CLI for terminal queries, authentication, and file-based Dive or Flight workflows.

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Design or improve a MotherDuck Dive’s layout, responsive behavior, themes, filters, and visual accessibility.

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Build ingestion-to-serving pipelines on MotherDuck, including stage boundaries, transformations, and publication.

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Roll out governed MotherDuck analytics to internal teams, choosing trusted datasets, access boundaries, and owners.

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Build a MotherDuck dashboard as a Dive, choosing the analytical story, metrics, and section queries.

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Discover MotherDuck databases, tables, columns, shares, and sample data to understand an available dataset.

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Design or implement MotherDuck analytical schemas and transformation models, including grain, types, and materialization.

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Assess MotherDuck costs, plan fit, and ROI using current pricing and the workload’s compute and storage needs.

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Assess MotherDuck security, permissions, isolation, residency, and compliance requirements against documented controls.

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Load files, object storage, dataframes, or external databases into MotherDuck using an appropriate bulk ingestion path.

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