Access Google BigQuery to run SQL queries, manage datasets and tables, and perform large-scale data analysis with OAuth authentication via the Maton API.
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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.
Category
πData & AnalyticsPlatforms
What Google BigQuery can do for your AI workflow
Google bigquery to run sql directly from your Claude conversation
Works across Claude, Cursor, OpenClaw β install once, use everywhere
One-command installation β no complex setup required
Combine with other skills to build powerful multi-step AI workflows
Try these prompts with your AI agent after installing Google BigQuery
Help me get started with Google BigQuery
Explains what Google BigQuery does, walks through the setup, and runs a quick demo based on your current project
Use Google BigQuery to access Google BigQuery to run SQL queries, manage datasets and tabl...
Invokes Google BigQuery with the right parameters and returns the result directly in the conversation
What can I do with Google BigQuery in my data & analytics workflow?
Lists the top use cases for Google BigQuery, with example commands for each scenario
Guides & tutorials for AI skills
Google BigQuery extends your AI assistant with the ability to access Google BigQuery to run SQL queries, manage datasets and tables, and perform large-scale data analysis with OAuth authentication via the Maton API. Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly β and it will take care of the task end-to-end, using Google BigQuery as its underlying capability.
Google BigQuery works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) β an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Google BigQuery once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.
To install Google BigQuery, copy the skill folder to `~/.claude/skills/google-bigquery/` for use across all your projects, or `.claude/skills/google-bigquery/` for a single project. Restart Claude and the skill is immediately active β invoke it with `/google-bigquery` or just describe your goal and the AI will pick it up automatically.
Google BigQuery has 616 installs and is part of the growing Data & Analytics skill ecosystem on DiscoverAISkills. The source code is open on GitHub β you can inspect it, contribute fixes, or fork it to adapt the skill for your specific setup. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.
Place the skill folder at ~/.claude/skills/google-bigquery/ for personal use (all projects), or .claude/skills/google-bigquery/ for project-specific use. Restart your AI client, then invoke with /google-bigquery or let the AI discover it automatically.
Google BigQuery supports Claude, Cursor, OpenClaw. It integrates seamlessly with these AI platforms to extend their capabilities.
Google BigQuery is free to install. Check the repository for licensing information.
Access Google BigQuery to run SQL queries, manage datasets and tables, and perform large-scale data analysis with OAuth authentication via the Maton API.
Links
Automate my data & analytics tasks using Google BigQuery
Identifies repetitive steps in your workflow and sets up Google BigQuery to handle them automatically
MCP vs traditional plugins: what's the difference?
Google BigQuery is categorized under Data & Analytics. These skills help AI agents perform specialized tasks in this domain.