fivetran

Build a new Fivetran connector from a description. Use when the user wants to create, generate, or scaffold a new connector for an API or data source.

Package and deploy a Fivetran connector to Fivetran. Use when the user wants to deploy or ship their connector.

Evaluate a Fivetran connector for correctness, SDK compliance, security, and reliability. Use when the user wants a code review or quality report before deploying.

Test a Fivetran connector by running fivetran debug and checking the results. Use when the user wants to validate or run their connector locally.

Build a new Fivetran connector from a description. Use when the user wants to create, generate, or scaffold a new connector for an API or data source.

Package and deploy a Fivetran connector to Fivetran. Use when the user wants to deploy or ship their connector.

Evaluate a Fivetran connector for correctness, SDK compliance, security, and reliability. Use when the user wants a code review or quality report before deploying.

Test a Fivetran connector by running fivetran debug and checking the results. Use when the user wants to validate or run their connector locally.

Evaluate a Fivetran connector for correctness, SDK compliance, security, and reliability. Use when the user wants a code review or quality report before deploying.

Evaluate a Fivetran connector for correctness, SDK compliance, security, and reliability. Use when the user wants a code review or quality report before deploying.

Package and deploy a Fivetran connector to Fivetran. Use when the user wants to deploy or ship their connector.

Package and deploy a Fivetran connector to Fivetran. Use when the user wants to deploy or ship their connector.

Package and deploy a Fivetran connector to Fivetran. Use when the user wants to deploy or ship their connector.

Build a new Fivetran connector from a description. Use when the user wants to create, generate, or scaffold a new connector for an API or data source.

Test a Fivetran connector by running fivetran debug and checking the results. Use when the user wants to validate or run their connector locally.

Build a new Fivetran connector from a description. Use when the user wants to create, generate, or scaffold a new connector for an API or data source.

Answer ad performance questions using data from Fivetran's ad connectors via BigQuery, Snowflake, or Databricks. Cross-channel analysis across Google Ads, Facebook Ads, Microsoft Ads, LinkedIn Ads, TikTok Ads, Pinterest Ads, and Snapchat Ads. Use when someone…

Answer Zendesk customer support questions using Fivetran-synced data via BigQuery, Snowflake, or Databricks. Analyzes ticket volume and trends, first reply and resolution times (business + calendar hours), backlog aging, agent performance, SLA breach rates,…

Answer marketing automation questions using Fivetran-synced data via BigQuery, Snowflake, or Databricks. Today supports Marketo via the fivetran/marketo dbt package; designed to extend to HubSpot Marketing, Pardot, Iterable, Braze, etc. as additional…

Answer HubSpot sales pipeline and funnel questions using Fivetran-synced HubSpot data via BigQuery, Snowflake, or Databricks. Analyzes deal stages, pipeline conversion rates, win/loss outcomes, rep performance, deal velocity, and stage aging using the hubspot…

Answer e-commerce store performance questions using Fivetran-synced Shopify connector data. Computes GMV, net revenue, AOV, order count, repeat customer rate, refund rate, top products, BFCM and seasonality detection, new vs returning revenue, and customer…

Explore and query your Fivetran Managed Data Lake Service (MDLS). As part of MDLS, Fivetran manages a Polaris catalog and the underlying Apache Iceberg tables where your connector data lands — your fully managed lakehouse. This skill gives you an agentic…

Get a quick overview of the connected Fivetran account.

Use this skill AFTER copy-connections-execute has successfully created connection shells, to help the user attach credentials to their newly-created connections. Identifies what auth each connection uses, offers flexible credential collection (bulk file,…

Use this skill AFTER credentials have been attached to the newly-created connections (via the credentials skill or manually in the Fivetran UI). Runs setup tests to verify credentials and discover the schema, then applies table/column selections, sync modes,…

Use this skill as part of the Copy Connections workflow to execute a validated copy plan. Creates connection shells (without credentials), installs Quickstart packages, and produces a results file with next steps. Refuses to run without a passing validation…

Use this skill as part of the Copy Connections workflow to gather the user's intent, fetch their current Fivetran setup (connections, destinations, transformations), and produce a structured copy plan. Invoke this from the copy-connections coordinator, not…

Use this skill when the user wants to copy, clone, migrate, or replicate their Fivetran connections from one destination to another — whether same destination type (e.g., splitting one warehouse into two) or different (e.g., Redshift to Snowflake). Handles…

Use this skill as part of the Copy Connections workflow to validate a copy plan before execution. Checks for naming collisions, type compatibility, schema compatibility, and transformation portability. Can also be used standalone to answer "what would break…

Turn a working batch definition and expectation suite into a persisted, re-runnable checkpoint with post-run actions — bind them into a validation definition, group into a named checkpoint, verify it by running it once, and hand off a scheduler-agnostic run…

Set up Great Expectations data access end to end — connect a data source, define a data asset, add a batch definition, and verify it by actually reading data through it. Use when a user asks to connect Great Expectations to their data (files, a SQL database…

Turn the data-quality checks a user describes in their own words into Great Expectations expectations — matched against the catalog shipped with the installed package, collected into a persisted suite, run against a batch, and reported per expectation. Use…

A comprehensive framework for building interactive, UI-based Model Context Protocol (MCP) apps for Claude.