Skills

mongodb-mcp-setup

Guide users through configuring key MongoDB MCP server options. Use this skill when a user has the MongoDB MCP server installed but hasn't configured the required environment variables, or when they ask about connecting to MongoDB/Atlas and don't have the credentials set up.

altimate-code

Delegates dbt and warehouse work to altimate-code, a specialized CLI agent with 100+ purpose-built data tools. Suited for tasks that mention or imply: warehouse access (Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL, DuckDB), column-level lineage, downstream-impact analysis, dbt builds a

databricks-lakebase

Databricks Lakebase Postgres: projects, scaling, connectivity, Lakebase synced tables, and Data API. Use when asked about Lakebase databases, OLTP storage, or connecting apps to Postgres on Databricks.

vercel-connect

Vercel Connect expert guidance — securely obtain scoped OAuth tokens for third-party services (Slack, GitHub, MCP servers, OAuth, Snowflake) on behalf of apps or users via Vercel OIDC. Use when wiring up third-party API access, connecting to MCP servers, sending Slack messages, accessing GitHub APIs

cloud-sql-mysql-admin

Use these skills when you need to provision new Cloud SQL for MySQL instances, create databases and users, clone existing environments, and monitor the progress of infrastructure operations.

fiftyone-generate-data-lens-connector

Generate a Data Lens connector from an external database schema. Use when users want to connect an external data source (PostgreSQL, BigQuery, Databricks, MySQL, etc.) to FiftyOne Data Lens, or when they have a database schema and want to browse/import that data through the FiftyOne App.

mongodb-schema-design

MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one

bootstrap

Project bootstrapping orchestrator for repos that depend on Vercel-linked resources (databases, auth, and managed integrations). Use when setting up or repairing a repository so linking, environment provisioning, env pulls, and first-run db/dev commands happen in the correct safe order.

database

Use when the user wants to create, list, describe, or drop databases in Milvus.

vibes

Self-contained app generator — invoke this skill directly, do not decompose into sub-steps. Generates React web apps with TinyBase reactive data store. Use when creating new web applications, adding components, or working with real-time data. Ideal for quick prototypes and single-page apps that need

s3-explore

Explore and query data on S3, Cloudflare R2, GCS, MinIO, or any S3-compatible storage. Use when the user mentions an s3://, r2://, gs://, or gcs:// URL, asks "what's in this bucket", wants to list remote files, preview remote Parquet/CSV/JSON, or query data on object storage without downloading it.

supabase

Use when doing ANY task involving Supabase. Triggers: Supabase products (Database, Auth, Edge Functions, Realtime, Storage, Vectors, Cron, Queues); client libraries and SSR integrations (supabase-js, @supabase/ssr) in Next.js, React, SvelteKit, Astro, Remix; auth issues (login, logout, sessions, JWT

cloud-sql-sqlserver-admin

Use these skills when you need to provision new Cloud SQL for SQL Server instances, create databases and users, clone existing environments, and monitor the progress of long-running operations.

infra-clickhouse

Sets up and manages ClickHouse using the clickhousectl CLI — installs and runs a local ClickHouse server for development, and creates managed ClickHouse Cloud services for production (authentication, service creation, schema migration, application connection). Use when the user wants to build an app

query

Run SQL queries against the attached DuckDB database or ad-hoc against files. Accepts raw SQL or natural language questions. Uses DuckDB Friendly SQL idioms.

user-role

Use when the user wants to manage database users, roles, passwords, or access privileges in Milvus.

neon

Overview of the Neon platform for apps and agents, spanning Postgres, Auth, the Data API, Object Storage, Compute Functions, and the AI Gateway. Start here to route to the right Neon skill, set up the CLI or MCP server, and follow the branch-first workflow. Use when "Neon" is mentioned, or when any

cloud-sql-postgres-lifecycle

Use these skills when you need to manage the lifecycle of your instances, including performing backups and restores, checking major version upgrade compatibility, and monitoring overall instance status.

setup-warehouse

Set up a data warehouse for Confidence experimentation analytics. Use when the user asks to connect a warehouse, set up BigQuery/Snowflake/Databricks/Redshift, or configure data connectors.

aidp-exacs

Read or write Oracle Exadata Cloud Service (ExaCS) from an AIDP notebook via the AIDP `aidataplatform` Spark format handler. Use when the user mentions ExaCS, Exadata, Exadata Cloud, RAC SCAN listener, or has a private-subnet Oracle DB. Prefer the official `ORACLE_EXADATA` connector sample with cata

tuning-incremental-sync-config

Change the sync configuration of an existing data warehouse schema — switch sync_type, pick a different incremental_field, set primary_key_columns, choose cdc_table_mode, or change sync_frequency. Use when the user asks "switch my orders table from full refresh to incremental", "this table is syncin

bigquery-ai-ml

Leverages BigQuery's built-in machine learning and GenAI capabilities for advanced data analytics. Use when you need to write SQL queries that perform time-series forecasting, detect outliers, find key drivers, or leverage generative AI capabilities in BigQuery.

ingesting-into-data-lake

Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket

azure-kusto

Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.