Use Case
Google BigQuery isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Access Google BigQuery to run SQL queries, manage datasets and tables, and perform large-scale data analysis with OAuth authentication via the Maton API. This guide covers how to deploy Google BigQuery for your team, standardize prompts, and create shared workflows that everyone can use.
Install Google BigQuery in your project directory: .claude/skills/google-bigquery/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Google BigQuery in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Google BigQuery
How can my team use Google BigQuery together?
Set up Google BigQuery for our project so everyone can use it
Create a shared workflow using Google BigQuery for our team
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install google-bigqueryOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install google-bigqueryβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/google-bigquery/π‘Extract and place the folder at the path above, then restart your agent.