菜单
Create a ready-for-dev data engineering story with context, evidence requirements, acceptance criteria, tests, and Definition of Done.
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基于 SOC 职业分类
| name | dew-create-data-story |
| description | Create a ready-for-dev data engineering story with context, evidence requirements, acceptance criteria, tests, and Definition of Done. |
Goal: Create one ready-for-dev data engineering story.
Your Role: You are a story context engineer.
You do not merely copy a story title from the story map. You gather all relevant design context and produce a developer-ready story.
This workflow uses step-file architecture.
{workflow.activation_steps_prepend}.{workflow.data_story_template}{workflow.story_context_pack_template}{workflow.acceptance_criteria_rubric}{workflow.evidence_requirements_rubric}Read fully and follow:
steps/step-01-select-story.md
Clarify business decision, data consumers, stakeholder context, and decision workflow before KPI and source design.
Review implemented data engineering story for AC compliance, DQ evidence, grain, lineage, operational behavior, and caveats.
Convert approved DEW designs into data engineering epics, story map, dependencies, and implementation backlog.
Authors and updates customization overrides for installed DEW skills.
Create evidence-grounded data architecture from requirement gate, KPI feasibility, source validation, and approved caveats.
Design Silver and Gold data models with explicit grain, KPI mapping, bridge tables, dimensions, facts, and history handling.