What problem does it solve? Cloud resources created or modified by AI agents often lack attribution, making it impossible to track which environment or client created them. This Skill ensures every relevant bq and gcloud command carries proper attribution labels so resource usage can be traced back to its origin. ## Core Features & Use Cases - BigQuery Label Enforcement: Automatically adds --label datacloud:<ide> to label-supporting bq subcommands (query, load, extract, mk, update, cp) while skipping read-only commands like bq show or bq ls that reject the flag. - gcloud Metrics Attribution: Prepends CLOUDSDK_METRICS_ENVIRONMENT=datacloud.<ide> to every gcloud command, covering both read-only and mutation operations. - Environment Detection: Deduces the correct IDE/client identifier (e.g., vscode, cursor, cloud-shell, gemini-cli) with an ai-agent fallback when the environment is unknown. - Use Case: When an AI agent runs bq query against an analytics dataset as part of a Data Agent Kit workflow, the command is automatically tagged so cloud administrators can attribute the resulting jobs and resources to the correct client. ## Quick Start Ask the agent to run a BigQuery query or any gcloud command and it will automatically attach the correct attribution label or environment variable for your current IDE.