Why does it flag 'days' as an error in my segment?

The Treasure Data CDP API requires singular time units (day, month, year). This skill specifically catches the common mistake of using plural forms like 'days' or 'months'.

Is this compatible with the tdx CLI?

Yes, it is designed to work alongside the tdx CLI, helping you prepare and validate YAML files before running commands like 'tdx sg push --dry-run'.

Can it validate nested segment rules?

Yes, it validates the entire rule tree, including 'And' and 'Or' types and their nested conditions and attributes.

Which segment types does it support?

It supports all major Treasure Data segment kinds, including batch, realtime, and funnel_stage.

What does the validate-segment skill do?

It checks your Treasure Data CDP segment YAML files for schema errors, incorrect operators, and invalid time units before you push them to the API.

Treasure Data Segment Validator

Name: Treasure Data Segment Validator
Author: treasure-data

bytreasure-data

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Marketing Automation

Validates Treasure Data CDP segment YAML configurations against official API specifications to ensure error-free deployments.

About

The validate-segment skill provides comprehensive validation for Treasure Data CDP segment YAML files, ensuring they adhere to strict API requirements before being pushed to the platform. It automatically checks for required fields, validates nested rule structures, and enforces correct operator types and time units—specifically catching common errors like pluralized time units (e.g., 'days' vs 'day'). This skill is essential for developers and data analysts who need to troubleshoot configuration errors locally, optimize their tdx CLI workflow, and maintain high-quality segment logic without repeated trial-and-error API pushes.

Key Features

Activation Schedule Check: Validates repeatUnit values for segment activation schedules.
API Schema Compliance: Verifies YAML structure against the official TD CDP API specification.
Time Unit Enforcement: Detects and flags common pluralization errors in time-based filters.
Operator Validation: Checks for correct usage of Comparison, List, String, Null, and Time operators.
2 GitHub stars
Structure Verification: Ensures required fields like name, kind, and rule conditions are correctly defined.

Use Cases

Troubleshooting failed 'tdx sg push' commands by identifying schema mismatches in segment YAMLs.
Ensuring consistency when creating or refactoring high-volume batch and real-time segments.
Reviewing complex segment logic to ensure correct operator types (e.g., using 'In' for arrays vs 'Equal' for strings).

About

Key Features

Activation Schedule Check: Validates repeatUnit values for segment activation schedules.
API Schema Compliance: Verifies YAML structure against the official TD CDP API specification.
Time Unit Enforcement: Detects and flags common pluralization errors in time-based filters.
Operator Validation: Checks for correct usage of Comparison, List, String, Null, and Time operators.
2 GitHub stars
Structure Verification: Ensures required fields like name, kind, and rule conditions are correctly defined.

Use Cases

Troubleshooting failed 'tdx sg push' commands by identifying schema mismatches in segment YAMLs.
Ensuring consistency when creating or refactoring high-volume batch and real-time segments.
Reviewing complex segment logic to ensure correct operator types (e.g., using 'In' for arrays vs 'Equal' for strings).