data-gcp

Generate YAML schema and documentation for dbt models, ensuring alignment with best practices and automated testing.

Review a pull request and rate it /10 on bugs, security, improvements, technical quality, and consistency with adjacent code.

Migrate Airflow DAGs from GCE (SSHGCEOperator) to GKE (CustomKubernetesPodOperator). Use when the user wants to migrate a DAG from VM-based to Kubernetes-based execution, replace SSHGCEOperator with CustomKubernetesPodOperator, convert GCE tasks to KPO tasks, or mentions GCE-to-GKE migration. Also trigger when they mention removing StartGCEOperator, DeleteGCEOperator, InstallDependenciesOperator in favor of pod-based execution.

Create pull requests that follow data team standards with proper naming conventions, commit validation, and squash-and-merge workflow. Use this skill when the user wants to create a PR, mentions pull requests, needs help with commit naming, wants to clean up commits before review, or talks about submitting work for review. Also trigger when they mention tickets like DE-XXX, HF-XXX, or BSR, or when they're working with dbt, bq_jobs, ml_jobs, or analytics code and need to get their changes reviewed.

Fix Python package vulnerabilities for a single uv.lock file by updating pyproject.toml and tool.uv constraint-dependencies, then regenerating the lockfile.