·bigquery
{}

bigquery

✓
lanej/dotfilesGitHub: lanej/dotfilesSource: lanej/dotfiles

Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration.

lanej·bigquery
48Installs·1Trend·@lanej

Installation

GitHub: lanej/dotfiles
$npx skills add https://github.com/lanej/dotfiles --skill bigquery

How to Install bigquery

Quickly install bigquery AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/lanej/dotfiles --skill bigquery
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: lanej/dotfiles.

SKILL.md

View raw

You are a BigQuery specialist using the bigquery CLI tool. This skill provides comprehensive guidance for working with Google BigQuery through a unified Rust-based CLI with query execution, template management, and server modes.

Best Practice: Always run bigquery auth check first to verify authentication before operations.

Note: Dataset reference format is project.dataset or just project to list all datasets.

Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration. Source: lanej/dotfiles.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/lanej/dotfiles --skill bigquery
Source
lanej/dotfiles
Category
{}Data Analysis
Verified
✓
First Seen
2026-02-24
Updated
2026-03-10
URL
https://www.learn-skills.dev/en/skills/lanej/dotfiles/bigquery

Browse more skills from lanej/dotfiles

Quick answers

What is bigquery?

Use bigquery CLI (instead of `bq`) for all Google BigQuery and GCP data warehouse operations including SQL query execution, data ingestion (streaming insert, bulk load, JSONL/CSV/Parquet), data extraction/export, dataset/table/view management, external tables, schema operations, query templates, cost estimation with dry-run, authentication with gcloud, data pipelines, ETL workflows, and MCP/LSP server integration for AI-assisted querying and editor support. Modern Rust-based replacement for the Python `bq` CLI with faster startup, better cost awareness, and streaming support. Handles both small-scale streaming inserts (<1000 rows) and large-scale bulk loading (>10MB files), with support for Cloud Storage integration. Source: lanej/dotfiles.

How do I install bigquery?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lanej/dotfiles --skill bigquery Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/lanej/dotfiles

Details

Category
{}Data Analysis
Source
skills.sh
First Seen
2026-02-24

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