Official agent skill

Bigquery Basics

Manages datasets, tables, and jobs in BigQuery. An agent skill from google/skills.

OfficialApache-2.0Auto-check passedDatabases

Install Bigquery Basics

skills CLI

$ npx skills add google/skills --skill bigquery-basics -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install google/skills bigquery-basics --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cloud/bigquery-basics .claude/skills/bigquery-basics && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "bigquery-basics" agent skill from https://github.com/google/skills/tree/main/skills/cloud/bigquery-basics into .claude/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/google/skills/tree/main/skills/cloud/bigquery-basics

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add google/skills --skill bigquery-basics -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install google/skills bigquery-basics --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cloud/bigquery-basics .agents/skills/bigquery-basics && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "bigquery-basics" agent skill from https://github.com/google/skills/tree/main/skills/cloud/bigquery-basics into .agents/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add google/skills --skill bigquery-basics -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install google/skills bigquery-basics --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cloud/bigquery-basics .cursor/skills/bigquery-basics && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "bigquery-basics" agent skill from https://github.com/google/skills/tree/main/skills/cloud/bigquery-basics into .cursor/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/google/skills.git --path skills/cloud/bigquery-basics

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add google/skills --skill bigquery-basics -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install google/skills bigquery-basics --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cloud/bigquery-basics .gemini/skills/bigquery-basics && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "bigquery-basics" agent skill from https://github.com/google/skills/tree/main/skills/cloud/bigquery-basics into .gemini/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install google/skills bigquery-basics

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add google/skills --skill bigquery-basics -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cloud/bigquery-basics .github/skills/bigquery-basics && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "bigquery-basics" agent skill from https://github.com/google/skills/tree/main/skills/cloud/bigquery-basics into .github/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add google/skills --skill bigquery-basics -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install google/skills bigquery-basics --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/google/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cloud/bigquery-basics .opencode/skills/bigquery-basics && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "bigquery-basics" agent skill from https://github.com/google/skills/tree/main/skills/cloud/bigquery-basics into .opencode/skills/bigquery-basics/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "bigquery-basics", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: bigquery-basics
GitHub stars: 21k
Used in: 1 other repo
Token cost: ~1.1k tokens
SKILL.md length: 428 words
Files: 9 (incl. references)
Skills in repo: 145
Repo updated: Oct 6, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Manages datasets, tables, and jobs in BigQuery. An agent skill from google/skills.

Works in 4 steps: Enable the BigQuery API → Create a Dataset → Create a Table → …
You need to interact with BigQuery
SKILL.md covers Attribution, Setup and Basic Usage, Reference Directory and Related Skills
Calls gcloud

What it does

Bigquery Basics is an agent skill from google/skills, published by the product's own GitHub organization. Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `references/change-history.md`, `references/cli-usage.md` and `references/client-library-usage.md`).

It sits in Databases, covering Data warehousing and SQL. It works with Google BigQuery and SQL. The repository describes itself as: Agent Skills for Google products and technologies. The licence is Apache-2.0.

When your agent uses it

You need to interact with BigQuery
Run SQL queries
Manage BigQuery resources (datasets
Perform basic data ingestion and analysis

Example prompts

“Use the bigquery-basics skill to manage datasets, tables, and jobs in BigQuery. An agent skill from google/skills”
“/bigquery-basics”

Requirements

Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

Enable the BigQuery API
Create a Dataset
Create a Table
Run a Query

What it can do on your machine

Read from SKILL.md and the folder at commit 8a1ac05. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
- gcloud
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use gcloud, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Bigquery Basics loads about 1.1k tokens when it runs, and up to ~6.1k if it reads all its reference files. Until then it costs about 56 tokens; SKILL.md has 428 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~56
When it runs · the whole SKILL.md, loaded when a task matches: ~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~6.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from google/skills at commit 8a1ac05, republished under its Apache-2.0 licence (© google). 428 words, ~1,057 tokens.

Download SKILL.mdSave it as .claude/skills/bigquery-basics/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.

name: bigquery-basics
description: Manages datasets, tables, and jobs in BigQuery. Use when you need to interact with BigQuery, run SQL queries, manage BigQuery resources (datasets, tables, views), or perform basic data ingestion and analysis.
metadata.version: 1.0.0
metadata.category: BigDataAndAnalytics

BigQuery Basics

BigQuery is a serverless, AI-ready data platform that enables high-speed analysis of large datasets using SQL and Python. Its disaggregated architecture separates compute and storage, allowing them to scale independently while providing built-in machine learning, geospatial analysis, and business intelligence capabilities.

Attribution

Tag every BigQuery command you execute directly in the terminal while using this skill, so usage can be attributed. The tag identifies only the skill and its version; it carries no user data.

Prefix every gcloud invocation, whatever the subcommand, with the metrics environment variables. Set them inline on each command; shell state may not persist between commands:
bash
```
CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:bigquery-basics)" \
gcloud <command> [flags]
```
Do not use gcloud config set for this: it would persist beyond the current task and mislabel unrelated usage.
On direct HTTP calls to the BigQuery APIs (for example with curl) or HTTP requests to the MCP server, append this exact string to the end of the existing User-Agent header — the collection pipeline parses the agent-skills/<version> and skill:<name> tokens, so any rewording breaks attribution:
```
User-Agent: <existing_user_agent> agent-skills/1.0 (skill:bigquery-basics)
```
Constraint for Generated Code: The tracking prefix is strictly for commands you execute directly in the terminal. Do NOT include this tracking prefix in generated scripts, Terraform templates, or code provided to the user for their own repositories.

Setup and Basic Usage

Enable the BigQuery API:

bash

CLOUDSDK_METRICS_REQUEST_ATTRIBUTION="agent-skills/1.0 (skill:bigquery-basics)" \
gcloud services enable bigquery.googleapis.com --quiet

Create a Dataset:

bash

bq mk --dataset --location=US my_dataset

Create a Table:

Create a file named schema.json with your table schema:

json

[
  {
    "name": "name",
    "type": "STRING",
    "mode": "REQUIRED"
  },
  {
    "name": "post_abbr",
    "type": "STRING",
    "mode": "NULLABLE"
  }
]

Then create the table with the bq tool:

bash

bq mk --table my_dataset.mytable schema.json

Run a Query:

bash

bq query --use_legacy_sql=false \
'SELECT name FROM `bigquery-public-data.usa_names.usa_1910_2013` \
WHERE state = "TX" LIMIT 10'

Show full SKILL.md (130 more words)Show less

Reference Directory

Core Concepts: Storage types, analytics workflows, and BigQuery Studio features.
Change History: Tracking and querying incremental table changes using APPENDS and CHANGES.
Continuous Queries: Running continuous SQL statements to analyze incoming data in real time.
CLI Usage: Essential bq command-line tool operations for managing data and jobs.
Client Libraries: Using Google Cloud client libraries for Python, Java, Node.js, and Go.
MCP Usage: Using the BigQuery remote MCP server and Gemini CLI extension.
Infrastructure as Code: Terraform examples for datasets, tables, and reservations.
IAM & Security: Roles, permissions, and data governance best practices.

If you need product information not found in these references, use the Developer Knowledge MCP server search_documents tool.

BigQuery AI & ML Skill: SKILL.md file for BigQuery AI and ML capabilities (forecast, anomaly detection, text generation).

Files

SKILL.md and 8 other files (references) in skills/cloud/bigquery-basics of google/skills.

SKILL.md
references/change-history.md
references/cli-usage.md
references/client-library-usage.md
references/continuous-queries.md
references/core-concepts.md
references/iac-usage.md
references/iam-security.md
references/mcp-usage.md

Open the folder on GitHubat commit 8a1ac05

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in google/skills, which our catalogue first saw on October 7, 2026.

Kilo-Org/kilo-marketplaceskills/bigquery-basics

Compare with similar skills

Bigquery Basics next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Bigquery Basics compared with similar skills
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Bigquery Basics this skillgoogle/skills	21k	1 repos	~1.1k	Automated safety check: Pass	Apache-2.0	today
Semantic Analystsidequery/sidemantic	129	—	~982	Automated safety check: Pass	AGPL-3.0	today
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Bigquery Graphgoogle/adk-python	22k	—	~4.8k	Automated safety check: Pass	Apache-2.0	today
SQL Queriesw95/awesome-claude-corporate-skills	235	3 repos	~2.8k	Automated safety check: Pass	MIT	7 mo ago
Imaging Data CommonsK-Dense-AI/scientific-agent-skills	48k	1 repos	~7.8k	Automated safety check: Pass	MIT	2 days ago

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Questions about Bigquery Basics

What does Bigquery Basics do?

Manages datasets, tables, and jobs in BigQuery. An agent skill from google/skills. Bigquery Basics is an agent skill from google/skills, published by the product's own GitHub organization. Manages datasets, tables, and jobs in BigQuery.

When should I use Bigquery Basics?

Bigquery Basics fits situations like: you need to interact with BigQuery; run SQL queries; manage BigQuery resources (datasets; perform basic data ingestion and analysis.

How do I install Bigquery Basics in Claude Code?

Run `npx skills add google/skills --skill bigquery-basics -a claude-code`. Or copy the skill folder (skills/cloud/bigquery-basics in google/skills) into .claude/skills/bigquery-basics in your project. Claude Code loads it when a task matches its description.

How do I install Bigquery Basics in Codex?

Run `npx skills add google/skills --skill bigquery-basics -a codex`. Or copy the skill folder (skills/cloud/bigquery-basics in google/skills) into .agents/skills/bigquery-basics in your project. Codex loads it when a task matches its description.

Can I use Bigquery Basics in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add google/skills --skill bigquery-basics -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/bigquery-basics, .gemini/skills/bigquery-basics, .github/skills/bigquery-basics and .opencode/skills/bigquery-basics in your project.

What does Bigquery Basics need to run?

Going by SKILL.md and its folder, Bigquery Basics needs the command-line tools its instructions call (gcloud). Our summary lists: Node.js.

Does Bigquery Basics access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Bigquery Basics safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Bigquery Basics use?

Bigquery Basics is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Bigquery Basics use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5k tokens, read only when the agent opens those files.

What are the alternatives to Bigquery Basics?

Skills that share tags, products or a category with Bigquery Basics: Semantic Analyst (sidequery/sidemantic, 129 stars), Analysis Artifacts (warpdotdev/oz-skills, 825 stars), Bigquery Graph (google/adk-python, 22k stars) and SQL Queries (w95/awesome-claude-corporate-skills, 235 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bigquery Basics?

google (a GitHub organization, an official publisher) maintains it in google/skills, which has 20,994 GitHub stars. The repository holds 145 skills in this directory. The repository was last updated on October 6, 2026.

Source: google/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Bigquery Basics

Install Bigquery Basics

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

BigQuery Basics

Attribution

Setup and Basic Usage

Reference Directory

Files

Used in 1 other repository

Compare with similar skills

Similar skills

Semantic Analyst

Analysis Artifacts

Bigquery Graph

SQL Queries

Imaging Data Commons

Warehouse SQL

More from google/skills

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GCP Application Design Center Deploy

BigQuery Slot and Cost Optimizer

Questions about Bigquery Basics

Install Bigquery Basics

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

BigQuery Basics

Attribution

Setup and Basic Usage

Reference Directory

Related Skills

Files

Used in 1 other repository

Compare with similar skills

Similar skills

More from google/skills

Related

Questions about Bigquery Basics