Do I need the tdx CLI installed to use this skill?

Yes, this skill acts as an intelligent interface for the Treasure Data tdx CLI, providing specialized guidance for its parent-segment commands.

What components can I include in a parent segment configuration?

A configuration typically includes a master table definition, customer attributes (properties), behavioral events (actions), and scheduling parameters.

What is a parent segment in Treasure Data?

A parent segment is the master customer table enriched with attributes and behaviors that serves as the foundation for creating targeted child segments in a CDP.

How does the validation feature help with data quality?

The validation command checks schema compatibility and reports join match rates, allowing you to identify NULL keys or data mismatches before they affect your segments.

Can I schedule segment updates using this skill?

Yes, the skill supports configuring daily, hourly, weekly, or custom cron-based schedules directly within the YAML configuration file.

Treasure Data Parent Segment Manager

Name: Treasure Data Parent Segment Manager
Author: treasure-data

bytreasure-data

•

Marketing Automation

Manages CDP parent segments via YAML configuration and CLI commands to orchestrate master tables, attributes, and behavioral data.

About

The tdx-skills/parent-segment skill empowers users to define and manage the foundational Master Customer Table within the Treasure Data Customer Data Platform. It streamlines the creation of enriched data views by integrating master records with customer attributes and behaviors using standardized YAML configurations. By providing built-in validation for join match rates and real-time data previews, this skill ensures data integrity and significantly reduces troubleshooting time when building complex customer segments for marketing and analytics workflows.

Key Features

YAML-based configuration for master tables, attributes, and behavioral data.
Automated scheduling support for daily, hourly, weekly, and custom cron triggers.
Advanced join validation with automated match rate statistics reporting.
2 GitHub stars
Simplified CLI workflow for pulling, pushing, and running segment updates.
Real-time data previews for master, attribute, and fully enriched views.

Use Cases

Building a unified Customer 360 view by joining disparate profile and transactional datasets.
Validating data quality and join logic between master tables and behaviors before production deployment.
Automating the refresh schedule of CDP audiences to ensure marketing segments remain up-to-date.

About

Key Features

YAML-based configuration for master tables, attributes, and behavioral data.
Automated scheduling support for daily, hourly, weekly, and custom cron triggers.
Advanced join validation with automated match rate statistics reporting.
2 GitHub stars
Simplified CLI workflow for pulling, pushing, and running segment updates.
Real-time data previews for master, attribute, and fully enriched views.

Use Cases

Building a unified Customer 360 view by joining disparate profile and transactional datasets.
Validating data quality and join logic between master tables and behaviors before production deployment.
Automating the refresh schedule of CDP audiences to ensure marketing segments remain up-to-date.