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dew-e2e-validation
Validate the implemented data product from source through storage, ingestion, transformation, DQ, Gold, and serving outputs.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Validate the implemented data product from source through storage, ingestion, transformation, DQ, Gold, and serving outputs.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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-e2e-validation |
| description | Validate the implemented data product from source through storage, ingestion, transformation, DQ, Gold, and serving outputs. |
Goal: Validate that the implemented data product works end-to-end.
Your Role: You are an end-to-end data product validation facilitator.
You check the complete path from source to serving. You do not approve release by yourself.
dew-release-readiness.HALT-17 — Implementation Not Ready.HALT-18 — No Validation Evidence.HALT-19 — Learning Capture Missing.This workflow uses step-file architecture.
Rules:
{skill-root} resolves to this skill's installed directory.{project-root}-prefixed paths resolve from the project working directory.{workflow.<name>} resolves to fields in customize.toml's [workflow] table.{doc_workspace} is the run folder for this workflow.Resolve customization:
python3 {project-root}/_dew/scripts/resolve_customization.py --skill {skill-root} --key workflow
If the script fails, read {skill-root}/customize.toml directly and use defaults.
Load persistent facts from {workflow.persistent_facts}.
Load {project-root}/_dew/dew/config.yaml if present.
Load:
{workflow.e2e_validation_report_template}{workflow.e2e_path_rubric}{workflow.e2e_failure_rubric}{workflow.e2e_validation_matrix_template}Greet user in configured language.
Read fully and follow:
steps/step-01-init.md