What problem does it solve?
It solves the challenge of keeping cluster and namespace table views correct, consistent, and performant while data is discovered via a catalog and updated through refresh snapshots and streaming.
Core Features & Use Cases
- Identity-preserving browse behavior: Ensures rows carry complete cluster/GVK/object identity so existence and listings remain grounded in the object catalog.
- Refresh-backed large dataset support: Maintains pagination/load-more, truncation diagnostics, and stable table performance for large result sets.
- Consistent table rendering across domains: Uses shared GridTable behavior and shared column factories so streamed and snapshot-based domains share matching row shapes.
- Refresh-orchestrator synchronization checks: Keeps refresh domains, payload types, refresher configuration, diagnostics, backend registration, and stream descriptors aligned.
Quick Start
Use the browse-tables skill to update a cluster or namespace GridTable change by verifying catalog identity, refreshing snapshot/stream row-shape compatibility, and running the targeted backend and frontend test commands for the affected domains.