materialize

Plugin materialize from marketplace materialize in MaterializeInc/agent-skills. Commands read from the repo's manifest — 10 days ago.

Skills (10)

• mz-docs

  Materialize documentation for SQL syntax, data ingestion, concepts, and best practices, fetched live as markdown from materialize.com. Use when users ask about Materialize queries, sources, sinks, views, indexes, clusters, or any other Materialize feature.

• mz-health-check

  Analyze a Materialize environment via the MCP Developer endpoint, and/or configure an MCP client (Claude Code, Cursor, VS Code, Zed, Continue, Windsurf, Claude Desktop) to connect to the materialize-developer server. For analysis: check environment health, investigate performance, troubleshoot stale

• mz-dbt

  Using the dbt-materialize adapter to manage Materialize streaming pipelines with dbt. Covers materializations (source, source_table, view, materialized_view, sink, table, seed), profile configuration, index creation, blue/green deployments (deploy_init, deploy_promote, deploy_cleanup), cluster manag

• mz-debug-freshness

  Use when a Materialize object is behind wall-clock time — high lag in mz_wallclock_global_lag, a stale or lagging materialized view, index, or sink, a freshness alert, results that keep showing old data, or a dataflow whose output cannot keep up with its input.

• mz-demo-data

  Trigger: "demo data", "synthetic data", "live operational data", "generate fake data", "create a demo", "load generator alternative", or wants realistic continuously-updating data in Materialize for a demo. Also "I need streaming data to show off X" or "build a demo schema for <domain>". Use this to

• mz-deploy

  Using the mz-deploy CLI to manage a declarative SQL project for Materialize — project layout and the stage/wait/promote deployment lifecycle. Use this skill whenever the user is working in an mz-deploy project (a directory containing project.toml), asks how to deploy SQL changes to Materialize safel

• mz-ontology-design

  Designing and reviewing the semantic layer of a Materialize SQL code base as a canonical ontology — a shared raw database, a shared core database, and one database per use case. Use this skill when a user asks how to structure or organize Materialize schemas and databases, wants to define canonical

• mz-optimize-memory

  Reduce the memory footprint and cost of Materialize compute clusters: find where arrangement memory sits, pick and size the right optimization lever (index strategy, GROUP SIZE hint tuning, view slimming, subquery decorrelation), adjudicate proposed index or view changes, run measured experiments sa

• mz-terraform-provider

  Using the Materialize Terraform provider to manage Materialize resources declaratively. Covers clusters, sources (Kafka, Postgres, MySQL, SQL Server), sinks (Kafka, Iceberg), connections, materialized views, indexes, tables, roles, grants, secrets, network policies, and cloud-only resources (users,

• mz-terraform-self-managed

  Terraform modules for deploying self-managed Materialize on AWS (EKS), Azure (AKS), and GCP (GKE). Covers networking, Kubernetes clusters, managed PostgreSQL, object storage, the Materialize operator, and Materialize instance configuration. Use this skill whenever the user asks about deploying self-

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