This skill provides step-by-step usage patterns for managing Google BigQuery via the bq CLI. It equips the agent to list datasets and tables, inspect schemas, run standard-SQL queries, estimate costs with dry runs, load CSV/JSON data, and create time-partitioned or clustered tables. The instructions emphasise safe exploratory querying (LIMIT, dry_run) and operational tasks like schema inspection and table metadata retrieval.
Use this skill when a user needs to query BigQuery data, check table schemas or metadata, load local CSV/NDJSON files into BigQuery, or create partitioned tables for cost-efficient storage. It is ideal for ad-hoc data exploration, quick counts, debugging schema issues, and scripted data loads.
Compatible with agents that can run shell/CLI commands and access GCP credentials (bq/gcloud workflows).
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