This is a comprehensive reference hub with 54+ production-ready GCP data engineering projects built by a Google Developer Expert. You get working code for BigQuery ML models, Dataflow pipelines, Pub/Sub streaming, Cloud Composer DAGs, and Dataproc jobs. Each project includes architecture diagrams, sample data, and deploy.sh scripts tested against live GCP environments. It's structured as modular Python packages, not scripts, which makes it easier to adapt patterns into your own codebase. If you're building data pipelines on GCP and want proven examples beyond the official docs, this gives you a solid starting point with real UPSERT patterns, signed URLs, lifecycle policies, and Beam transforms already implemented.
npx -y skills add aradotso/data-skills --skill google-cloud-data-engineering-hub --agent claude-codeInstalls into .claude/skills of the current project.
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microsoft/azure-skills
awslabs/agent-plugins
microck/ordinary-claude-skills
microsoft/github-copilot-for-azure
zxkane/aws-skills
awslabs/agent-plugins