
MaterializeInc/materialize
The live data layer for apps and AI agents. Create up-to-the-second views into your business, just using SQL
parallel-workload
@materializeinc/materialize
This skill should be used when the user wants to extend the parallel-workload test framework, add a new action, modify existing actions, or add SQL coverage to parallel workload. Trigger when the user mentions "parallel workload", "parallel-workload", "action.py" in the context of parallel workload, or wants to test for panics or unexpected query errors under concurrency. Use this skill even if the user just says "add this to parallel workload" or references a bug that panics under concurrent DDL/DML.
query-tracing
@materializeinc/materialize
This skill should be used when the user wants to debug or trace where time is spent during query execution in Materialize. Trigger when the user mentions tracing queries, span analysis, query latency breakdown, Tempo traces, trace IDs, or wants to understand where time goes in CREATE TABLE, SELECT, INSERT, DROP, or any other SQL statement execution.
