How does it handle segment references?

It distinguishes between embedded segments defined within the journey and external segments referenced using the 'ref:' prefix, ensuring the syntax matches Treasure Data requirements.

Can I use this for versioned journeys?

Absolutely. It validates journey version structures and ensures that exactly one version is marked as the 'latest' active version.

Does this skill support A/B test validation?

Yes, it verifies that A/B test variants include required fields and that the percentages assigned to all variants sum exactly to 100.

What specifically does this skill validate in a journey file?

It validates the entire YAML structure, including required fields, step types (wait, activation, etc.), segment reference formatting, and platform limits like the 8-stage maximum per journey.

Journey YAML Validator

Name: Journey YAML Validator
Author: treasure-data

bytreasure-data

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마케팅 자동화

Validates Treasure Data CDP journey YAML configurations against schema requirements and platform constraints.

소개

The Journey YAML Validator is a specialized skill for Treasure Data developers designed to ensure Customer Data Platform (CDP) journey configurations are error-free before deployment. It performs comprehensive checks on journey structures, including required top-level fields, stage limits, valid step types like wait or A/B tests, and proper segment referencing. By catching common pitfalls—such as incorrect wait units, mismatched variant percentages, or exceeding the maximum stage count—this skill helps maintain high-quality automation workflows and prevents deployment failures within the Treasure Data environment.

주요 기능

Verification of step-specific parameters for wait, activation, and decision points
Validation of segment references and reentry mode configurations
Checking of platform constraints including stage, event, and version limits
Dry-run error detection to identify syntax and logic issues before pushing
Comprehensive schema validation for Treasure Data journey YAML files
2 GitHub stars

사용 사례

Reviewing complex multi-stage journey structures for logical and syntax errors
Troubleshooting journey configuration errors before pushing to the CDP
Verifying A/B test split percentages and variant logic before activation

소개

주요 기능

Verification of step-specific parameters for wait, activation, and decision points
Validation of segment references and reentry mode configurations
Checking of platform constraints including stage, event, and version limits
Dry-run error detection to identify syntax and logic issues before pushing
Comprehensive schema validation for Treasure Data journey YAML files
2 GitHub stars

사용 사례

Reviewing complex multi-stage journey structures for logical and syntax errors
Troubleshooting journey configuration errors before pushing to the CDP
Verifying A/B test split percentages and variant logic before activation