dataops-cicd-pipeline-review
CommunityReview 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 requiredComponents
Standard package💻 Claude Code Installation
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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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