Create CDP journey definitions in YAML using tdx journey commands.
npx skills add https://github.com/treasure-data/td-skills --skill journey
Please help me install this Agent Skill. Skill: journey Source: https://github.com/treasure-data/td-skills/tree/main/tdx-skills/journey Command: npx skills add https://github.com/treasure-data/td-skills --skill journey
This Skill enables defining and managing CDP journeys with stages, steps, activations, and versioning, all in YAML for reproducible deployment.
Pull journeys to YAML with tdx journey pull, then push with tdx journey push --dry-run.
High-intent search queries and answers about installing and using this skill.
CDP journey orchestration in YAML uses tdx journey commands to define stages, steps, activations, and segments. Pull existing journeys with `tdx journey pull`, edit the YAML schema (type, name, reentry, goal, journeys, stages, steps with next), then push with `tdx journey push --dry-run` to validate before deployment.
Journey step types include wait, activation, decision_point, ab_test, merge, jump, and end. Each step routes to the next stage based on conditions, segment membership, or explicit transitions, enabling onboarding, activation, re-engagement, and retention scenarios.
Yes, journey definitions support both embedded segments defined inline and external segment references, with full versioning control. This enables reproducible deployment, testing via simulation guidance, and safe rollout across customer segments.
Activation steps execute connectors that send customers to downstream systems or channels. Step definitions include connector configuration, scheduling patterns, and segment targeting to trigger communications at the right journey stage.
Journey YAML schemas require mandatory fields (type, name, reentry, goal, journeys, stages, steps with next) and support optional features like embedded segments, activation connectors, simulation guidance, and defined limits for scale and performance.
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