Migrate to MotherDuck

Use this skill when the user needs a migration plan from another warehouse, PostgreSQL estate, or mixed analytics stack onto MotherDuck.

This is a use-case skill. It orchestrates motherduck-connect, motherduck-explore, motherduck-load-data, motherduck-model-data, motherduck-query, and motherduck-ducklake.

Start Here: Is a MotherDuck Server Active?

Always determine this before writing a migration plan.

• If a remote MotherDuck MCP server or local MotherDuck server is active, use it.
• Ask which MotherDuck database or workspace will receive the migration if the user has not specified it.
• Explore the live target side first when available:
  • existing databases and schemas
  • current landing zones
  • current analytical tables
  • naming conventions
  • any partial migration already in place

Also capture the source-side shape:

• source platform
• source table grain
• key metrics
• validation keys
• serving workloads after cutover

If no server is active, ask for representative source and target schemas before finalizing the migration plan.

Use This Skill When

• The user is moving from Snowflake, Redshift, Postgres, or similar.
• The user needs cutover sequencing and validation.
• The user needs to decide between native MotherDuck, pg_duckdb, or DuckLake.
• The migration plan needs rollback, not just a list of copy commands.

Migration Defaults

• native MotherDuck storage first
• pg_duckdb when extending an existing PostgreSQL estate is the least disruptive path
• validate before cutover
• port SQL dialect and data types deliberately before performance tuning
• phased cutover over big-bang replacement

Workflow

1. Confirm whether live MotherDuck discovery is available.
2. Classify the source system and the target serving pattern.
3. Inspect the target-side MotherDuck layout if available.
4. Pick the connection and ingestion path.
5. Inventory incompatible SQL, functions, data types, and operational assumptions.
6. Rebuild the analytical model in DuckDB SQL.
7. Run source-vs-target validation.
8. Cut over one workload at a time.

When this skill produces a native DuckDB (md:) connection, watermark it with custom_user_agent=agent-skills/2.2.0(harness-<harness>;llm-<llm>). If metadata is missing, fall back to harness-unknown and llm-unknown.

Output

The output of this skill should be:

• the target pattern
• the migration sequence
• the validation plan
• the rollback path
• the first cutover slice

If the caller explicitly asks for structured JSON, return raw JSON only with no Markdown fences or prose before/after it. This is mainly for automated tests, regression checks, or downstream tooling that needs a stable machine-readable shape. Normal human-facing use of the skill can stay in prose unless JSON is explicitly requested.

Use this exact top-level shape when JSON is requested:

{
  "summary": {},
  "assumptions": [],
  "implementation_plan": [],
  "validation_plan": [],
  "risks": []
}

References

• references/MIGRATION_PLAYBOOK.md -- preserved detailed migration guidance that used to live in this skill
• references/MIGRATION_VALIDATION.md -- validation checks and comparison helpers

Runnable Artifact

• artifacts/migration_validation_example.py -- MotherDuck-backed Python example for source-vs-target validation and variance reporting
• artifacts/migration_validation_example.ts -- TypeScript companion artifact with the same validation output contract

Run it with:

uv run --with duckdb python skills/motherduck-migrate-to-motherduck/artifacts/migration_validation_example.py

Run the same validation flow against temporary MotherDuck databases:

MOTHERDUCK_ARTIFACT_USE_MOTHERDUCK=1 \
uv run --with duckdb python skills/motherduck-migrate-to-motherduck/artifacts/migration_validation_example.py

Validate the TypeScript companion artifact:

uv run scripts/test_typescript_artifacts.py

Related Skills

• motherduck-connect -- choose the connection path for the target system
• motherduck-explore -- inspect the target-side MotherDuck workspace
• motherduck-load-data -- bulk movement and raw landing patterns
• motherduck-model-data -- shape the target analytical model
• motherduck-query -- port and validate critical SQL
• motherduck-ducklake -- only when open-table-format requirements are explicit