What problem does it solve? AI agents running BigQuery and Google Cloud CLI commands often create or modify cloud resources without any attribution, making it impossible to track which environment or client originated the changes. This Skill enforces consistent labeling so resource usage can be traced back to its source. ## Core Features & Use Cases - BigQuery Label Enforcement: Adds the mandatory --label datacloud:<ide> flag to supported bq subcommands (query, load, extract, mk, update, cp) while explicitly avoiding invalid flags on read-only commands like bq show or bq ls. - gcloud Metrics Attribution: Prepends CLOUDSDK_METRICS_ENVIRONMENT=datacloud.<ide> to every gcloud command, covering both read-only and mutation operations. - Environment Deduction: Provides rules for detecting the current client (vscode, cursor, cloud-shell, gemini-cli, etc.) with an ai-agent fallback. - Use Case: When an AI agent runs bq query against an analytics dataset during a data preparation workflow, the command is automatically tagged with datacloud:vscode so platform teams can attribute the resulting jobs and resources. ## Quick Start Ask the agent to run a BigQuery query or any gcloud command and it will automatically attach the correct attribution label for your environment.