angular-signals
>-
angular-ssr
>-
angular-testing
>-
angular-tooling
>-
answering-natural-language-questions-with-dbt
Writes and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.
aoti-debug
>-
apache-arrow
>-
apache-hudi-lakehouse
>-
apollo-graphql
>-
artifacts-builder
>-
authoring-dags
>-
aws-cognito-admin
>-
aws-messaging-and-streaming
>
aws-sdk-python-usage
>
azure-compliance
>-
azure-databricks
>-
azure-data-factory
>-
azure-data-share
>-
azure-eventhub-py
>
azure-event-hubs
>-
azure-key-vault
>-
azure-machine-learning
>-
azureml-scaffolding
>-
azure-rbac
>-
azure-storage
>-
azure-synapse-analytics
>-
beam-concepts
>-
bigquery-ai-ml
>-
bigquery-basics
>-
bootstrapping-agent
>-
build-connector
>-
building-dbt-semantic-layer
Use when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.
canvas-design
>-
cassandra
>
cdc-streaming-pipeline
>-
changelog-generator
>-
chdb-datastore
>-
cheerio-parsing
>-
cognito
>-
collibra-chip
>-
competitive-ads-extractor
>-
configuring-dbt-mcp-server
Generates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt. Use when setting up, configuring, or troubleshooting the dbt MCP server for compatible MCP clients.
connecting-to-data-source
>-
content-research-writer
>-
cortex-code
>-
create-pull-request
>-
creating-data-lake-table
>-
creating-secrets-using-best-practices
>-
csv-query
Run SQL queries against CSV/TSV/Excel files using Polars SQL engine
csv-wrangling
>-
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