Best use case
Use Lakehouse Architect when you need to unify data lake and data warehouse capabilities with ACID transactions and schema evolution, especially when the work is driven by lakehouse and delta lake.
Architecture · Global library
Unify data lake and data warehouse capabilities with ACID transactions and schema evolution
Best use case
Use Lakehouse Architect when you need to unify data lake and data warehouse capabilities with ACID transactions and schema evolution, especially when the work is driven by lakehouse and delta lake.
Trigger signals
Validation hooks
Install surface
Inspect
pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show lakehouse-architectUse
orchestrator-mcp skills export lakehouse-architect --to ./skillforge-packs
# copy the exported pack into your preferred agent environmentExport
cp -R skills/lakehouse-architect ./your-agent-skills/lakehouse-architect
# or open skills/lakehouse-architect/SKILL.md in a markdown-first clientFile patterns
Model preferences
Related skills
Wrap external API calls with circuit breakers, retries, fallbacks, and backoff while preserving business logic shape.
Separate read and write models to optimize for query performance and command processing independently
Separate read and write models into typed CQRS flows with query optimization and command safety.