Build MotherDuck analytics into customer-facing applications with tenant isolation, backend routing, and serving APIs.
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Standardize MotherDuck delivery across client engagements with reusable provisioning, isolation, and handoff patterns.
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Run score Not tested
See how to installReview the instructions the agent will receive before you install.
Use an active remote MotherDuck MCP server or local MotherDuck server to inspect the in-scope database, schema, grain, keys, and relevant metrics. Reuse known context and narrow discovery to the requested work; do not scan the whole workspace by default. Let the actual data model shape the result.
Resolve the target from the request or active context. Ask only if ambiguity materially affects the result. Without a server, use supplied schema and explicit assumptions for planning; do not imply live validation.
Match execution to the request: answer, review, or planning work returns the requested delivery artifacts; build or change work creates the requested in-scope templates or client assets and validates them. Ask before provisioning additional client environments, destructive changes, or external writes not already authorized.
When this skill produces a native DuckDB (md:) connection, watermark it with custom_user_agent=agent-skills/2.6.0(harness-<harness>;llm-<llm>). If metadata is missing, fall back to harness-unknown and llm-unknown.
For a full engagement, cover the following as relevant to the request:
For explicit structured JSON requests, read the output contract. Otherwise use the format that fits the requested deliverable.
Read only the sections relevant to the task; these are guidance, not a mandatory itinerary.
references/PARTNER_DELIVERY_GUIDE.md -- default multi-client pattern, standardize-versus-client-specific split, shares-versus-Dives-versus-apps choice, region/compliance handling, and provisioning startersRead the execution reference only to run the bundled examples or reproduce their validation.
Load related skills only for missing capabilities; reuse established context.
motherduck-connect -- standardize the connection pathmotherduck-explore -- inspect existing client workspaces and boundariesmotherduck-model-data -- design client-specific schemasmotherduck-query -- validate core metrics and data contractsmotherduck-share-data -- publish governed share boundariesmotherduck-create-dive -- create repeatable client-facing answer surfaces when neededNo reviews yet. Tell others what you thought.
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Build MotherDuck analytics into customer-facing applications with tenant isolation, backend routing, and serving APIs.
The English summary is being prepared. Showing the original description.
Build a MotherDuck dashboard as a Dive, choosing the analytical story, metrics, and section queries.
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Build ingestion-to-serving pipelines on MotherDuck, including stage boundaries, transformations, and publication.
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Use the MotherDuck CLI for terminal queries, authentication, and file-based Dive or Flight workflows.
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Set up or troubleshoot MotherDuck connections, authentication, client runtimes, and read scaling.
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Create, edit, publish, share, or embed MotherDuck Dives using their React and SQL runtime.
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