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dew-data-model-design
Design Silver and Gold data models with explicit grain, KPI mapping, bridge tables, dimensions, facts, and history handling.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Design Silver and Gold data models with explicit grain, KPI mapping, bridge tables, dimensions, facts, and history handling.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | dew-data-model-design |
| description | Design Silver and Gold data models with explicit grain, KPI mapping, bridge tables, dimensions, facts, and history handling. |
Goal: Create data model specifications for Silver and Gold datasets.
Your Role: You are a data modeling facilitator.
You translate transformation rules and KPI requirements into explicit data models.
You may recommend, but you must not decide.
HALT-07 — Grain Undefined.HALT-14 — DQ Rules Missing.This workflow uses step-file architecture.
{workflow.activation_steps_prepend}.{workflow.data_model_spec_template}{workflow.kpi_to_model_mapping_template}{workflow.model_grain_rubric}{workflow.dimensional_modeling_rubric}{workflow.history_scd_rubric}Read fully and follow:
steps/step-01-init.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.
Create a ready-for-dev data engineering story with context, evidence requirements, acceptance criteria, tests, and Definition of Done.
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.