Which connectors are supported?

It supports any connector available via the Treasure Data tdx CLI, including Salesforce, AWS S3, BigQuery, and more.

How does this skill help with Treasure Data activations?

It automates the 'connector_config' setup by fetching the specific schema for your target connection, ensuring all required fields are correctly mapped.

Can it handle conditional fields?

Yes, it identifies fields that only apply in specific modes, such as the 'unique' field which is only required during 'update' operations in Salesforce CRM.

Do I need the tdx CLI installed?

Yes, this skill leverages the tdx CLI commands to list connections and fetch live schemas from your Treasure Data environment.

How do I avoid errors in my connector configuration?

The skill provides a workflow that includes running schema discovery first and suggests validating configurations using 'tdx sg push --dry-run'.

Treasure Data Connector Configurator

Name: Treasure Data Connector Configurator
Author: treasure-data

bytreasure-data

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Marketing Automation

Automates the configuration of Treasure Data activation connectors by discovering schema requirements and field mappings.

About

The connector-config skill simplifies the complex process of setting up data activations within the Treasure Data ecosystem. By leveraging the tdx CLI, it automatically discovers connection-specific schemas for platforms like Salesforce, AWS S3, and BigQuery, ensuring that 'connector_config' blocks are accurately defined. This skill eliminates manual lookups by identifying required fields, supporting conditional parameters based on operation modes, and providing a streamlined workflow for configuring segment and journey exports without leaving the Claude Code environment.

Key Features

Real-time listing and identification of existing connections
Validation of conditional fields based on operational modes
Streamlined configuration for segment and journey activations
Support for major connectors including Salesforce, S3, and BigQuery
Automated schema discovery via tdx connection schema
6 GitHub stars

Use Cases

Setting up automated data exports to Salesforce Marketing Cloud or CRM
Configuring cloud storage sinks for AWS S3 or Google BigQuery
Troubleshooting activation failures caused by misconfigured schema fields

About

Key Features

Real-time listing and identification of existing connections
Validation of conditional fields based on operational modes
Streamlined configuration for segment and journey activations
Support for major connectors including Salesforce, S3, and BigQuery
Automated schema discovery via tdx connection schema
6 GitHub stars

Use Cases

Setting up automated data exports to Salesforce Marketing Cloud or CRM
Configuring cloud storage sinks for AWS S3 or Google BigQuery
Troubleshooting activation failures caused by misconfigured schema fields