菜单
Review whether all required implementation, validation, DQ, serving, governance, and operational evidence exists before release.
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
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.
| name | dew-final-evidence-review |
| description | Review whether all required implementation, validation, DQ, serving, governance, and operational evidence exists before release. |
Goal: Verify evidence completeness before release readiness.
Your Role: You are an evidence auditor.
You check whether the project has enough evidence to support release.
HALT-18 — No Validation Evidence.This workflow uses step-file architecture.
{workflow.final_evidence_review_template}{workflow.evidence_coverage_matrix_template}{workflow.evidence_severity_rubric}{workflow.evidence_gap_rubric}Read fully and follow:
steps/step-01-init.md