motherduck-ducklake
Decide when DuckLake is the right MotherDuck storage pattern versus native MotherDuck storage (the default). Use when evaluating lakehouse or open table format storage, Iceberg-style requirements, fully managed DuckLake, BYOB buckets, own-compute DuckLake access, data inlining, time travel, object-storage layout, or file-aware compaction and maintenance.
Works with
--- name: motherduck-ducklake description: Decide when DuckLake is the right MotherDuck storage pattern versus native MotherDuck storage (the default). Use when evaluating lakehouse or open table format storage, Iceberg-style requirements, fully managed DuckLake, BYOB buckets, own-compute DuckLake access, data inlining, time travel, object-storage layout, or file-aware compaction and maintenance. license: MIT --- # Use DuckLake on MotherDuck Use this skill when the storage decision is genuinely about open table format and object-store behavior, not just about where to put another analytical table. ## Source Of Truth - Prefer current MotherDuck DuckLake docs first. - Use the upstream DuckLake and DuckDB extension docs only to clarify extension-level behavior that MotherDuck docs reference. - Keep the guidance aligned with the documented product posture: - native MotherDuck first - MotherDuck's DuckLake docs define the supported product surface and lifecycle/compatibility limits; verify the current DuckDB/DuckLake version matrix instead of preserving an upstream version or product status in the prompt - fully managed, BYOB, and own-compute paths are distinct - maintenance and compaction are explicit operations, not background magic ## Default Posture - Start with native MotherDuck storage unless there is a concrete DuckLake requirement. - Reach for DuckLake when you need open-table-format semantics, object storage as the source of truth, BYOB, or file-aware maintenance. - Do not recommend DuckLake just because a workload is "large"; MotherDuck's docs explicitly note native storage is often faster for reads. - Choose the operating mode deliberately: fully managed for easiest evaluation, BYOB for customer bucket ownership, own compute only when the compute boundary matters too. - Document the fallback to native MotherDuck storage if the DuckLake requirement is weak, unverified, or only about future portability. - For data inlining, sorted tables, bucket partitioning, deletion vectors, or extension behavior, verify the current MotherDuck DuckLake docs and DuckDB/DuckLake version matrix before giving syntax guarantees. - Do not infer MotherDuck client/runtime support from upstream DuckDB release notes alone; check the MotherDuck lifecycle docs when the exact DuckDB version matters. - Keep the MotherDuck product surface separate from raw DuckLake-extension assumptions. ## Workflow 1. Confirm why native MotherDuck storage is insufficient. 2. Pick the operating mode: fully managed, BYOB with MotherDuck compute, or BYOB with own compute. 3. Verify regional and bucket constraints before proposing BYOB. 4. Define the ingestion and maintenance posture up front, including data inlining, file compaction, and cleanup expectations. 5. Validate who will query the data and from which compute surface before finalizing the architecture. ## Open Next - Read `references/DUCKLAKE_PLAYBOOK.md` for the mode decision matrix, MotherDuck-specific SQL patterns, BYOB constraints, data-inlining behavior, maintenance functions, and common DuckLake mistakes ## Related Skills - `motherduck-connect` for choosing native DuckDB versus Postgres-endpoint access paths - `motherduck-load-data` when the real issue is ingestion rather than storage format - `motherduck-model-data` when the user still needs analytical table design after the storage decision - `motherduck-build-data-pipeline` when DuckLake is just one part of a broader ingestion-to-serving workflow
More AI & ML skills
writing-shape
mattpocock/skills
Writing, exploit: shape raw material into an article, paragraph by paragraph.
writing-fragments
mattpocock/skills
Writing, explore: mine raw fragments, no structure yet.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

