dataops-cicd-pipeline-review

Community

Review data CI/CD pipelines with safe gates

Authorivanshamaev
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps you audit and redesign DataOps CI/CD pipelines to prevent broken data deployments by adding quality gates, reliable promotion, and safe rollback mechanisms.

Core Features & Use Cases

  • Pipeline stage review for data projects: Lint/test/build/scan/deploy sequencing for dbt models, Airflow DAGs, and Spark-style jobs.
  • Environment promotion strategy: Dev → staging → prod workflows with trunk-based or GitFlow branching considerations and merge/deploy governance.
  • Deployment reliability & governance: Artifact versioning, deployment gating (DQ checks/smoke tests/manual approval), rollback strategy, and pipeline observability using DORA metrics.
  • Reusable workflow patterns: Use of shared/reusable CI workflow templates and guidance for monorepo vs polyrepo CI approaches.

Quick Start

Ask your AI to generate a production-grade CI/CD workflow for a dbt + Airflow stack that promotes changes dev→staging→prod with lint/test, DQ/smoke gates, immutable artifact tagging, DORA metrics tracking, and an automated rollback plan.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: dataops-cicd-pipeline-review
Download link: https://github.com/ivanshamaev/de-agent-skills/archive/main.zip#dataops-cicd-pipeline-review

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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