Agent skill

Bigquery Basics

by davila7 in davila7/claude-code-templates

Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights.

MITAuto-check passedDatabases

Install Bigquery Basics

skills CLI
$ npx skills add davila7/claude-code-templates --skill bigquery-basics -a claude-code

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

GitHub CLI
$ gh skill install davila7/claude-code-templates 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/davila7/claude-code-templates.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-tool/components/skills/database/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/

Facts

Skill name
bigquery-basics
GitHub stars
32k
Token cost
~1.1k tokens
SKILL.md length
250 words
Files
7 (incl. references)
Skills in repo
477
Repo updated
First seen
Licence
MIT

At a glance

Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights.

  • Works in 4 steps: Enable the BigQuery API → Create a Dataset → Create a Table → …
  • Resource management
  • SKILL.md covers Setup and Basic Usage, Reference Directory and Related Skills
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Bigquery Basics is an agent skill from davila7/claude-code-templates. Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use for SQL queries, resource management, data ingestion, or AI applications on BigQuery.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including reference files (for example `references/cli-usage.md`, `references/client-library-usage.md` and `references/core-concepts.md`).

It sits in Databases, covering Data warehousing. It works with Google BigQuery, SQL and Model Context Protocol. The repository describes itself as: CLI tool for configuring and monitoring Claude Code. The licence is MIT.

When your agent uses it

  • Resource management
  • AI applications on BigQuery

Example prompts

  • “Use the bigquery-basics skill to manage datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data…”
  • “/bigquery-basics”

Requirements

  • Node.js

Workflow steps

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

  1. Enable the BigQuery API
  2. Create a Dataset
  3. Create a Table
  4. Run a Query

What it can do on your machine

Read from SKILL.md and the folder at commit 4c82aba. 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

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • github.com

    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 ~4.6k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 250 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
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
~4.6k

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 davila7/claude-code-templates at commit 4c82aba, republished under its MIT licence (© davila7). 250 words, ~1,150 tokens.

Download SKILL.mdSave it as .claude/skills/bigquery-basics/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
name
bigquery-basics
description
Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use for SQL queries, resource management, data ingestion, or AI applications on BigQuery.
source
google/skills (Apache 2.0)

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.

Setup and Basic Usage

  1. Enable the BigQuery API:

    bash
    gcloud services enable bigquery.googleapis.com --quiet
  2. Create a Dataset:

    bash
    bq mk --dataset --location=US my_dataset
  3. 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
  4. 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'

Reference Directory

  • Core Concepts: Storage types, analytics workflows, and BigQuery Studio features.

  • 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.

© davila7, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (references) in cli-tool/components/skills/database/bigquery-basics of davila7/claude-code-templates.

  • SKILL.md
  • references/cli-usage.md
  • references/client-library-usage.md
  • references/core-concepts.md
  • references/iac-usage.md
  • references/iam-security.md
  • references/mcp-usage.md

Open the folder on GitHubat commit 4c82aba

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
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Bigquery Basics this skilldavila7/claude-code-templates32k—~1.1kAutomated safety check: PassMIT
Semantic Analystsidequery/sidemantic129—~982Automated safety check: PassAGPL-3.0
Imaging Data CommonsK-Dense-AI/scientific-agent-skills48k1 repos~7.8kAutomated safety check: PassMIT
Cloud Monitoring Metric Selectiongoogle/skills21k—~2.4kAutomated safety check: PassApache-2.0
Migrating To Amazon Redshiftaws/agent-toolkit-for-aws2.8k—~2.7kAutomated safety check: NotesApache-2.0
Google Cloud Storage Basicsgoogle/skills21k—~2.8kAutomated safety check: PassApache-2.0

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Categories

Questions about Bigquery Basics

What does Bigquery Basics do?

Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Bigquery Basics is an agent skill from davila7/claude-code-templates. Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights.

When should I use Bigquery Basics?

Bigquery Basics fits situations like: resource management; AI applications on BigQuery.

How do I install Bigquery Basics in Claude Code?

Run `npx skills add davila7/claude-code-templates --skill bigquery-basics -a claude-code`. Or copy the skill folder (cli-tool/components/skills/database/bigquery-basics in davila7/claude-code-templates) 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 davila7/claude-code-templates --skill bigquery-basics -a codex`. Or copy the skill folder (cli-tool/components/skills/database/bigquery-basics in davila7/claude-code-templates) 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 davila7/claude-code-templates --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?

SKILL.md names no scripts, command-line tools or credentials: Bigquery Basics is instructions for the agent only. Our summary lists: Node.js.

Does Bigquery Basics access the network?

SKILL.md names 1 domain. As links in the text: github.com. 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 MIT 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 4.6k 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 3.5k 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), Imaging Data Commons (K-Dense-AI/scientific-agent-skills, 48k stars), Cloud Monitoring Metric Selection (google/skills, 21k stars) and Migrating To Amazon Redshift (aws/agent-toolkit-for-aws, 2.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Bigquery Basics?

davila7 (a GitHub user) maintains it in davila7/claude-code-templates, which has 32,432 GitHub stars. The repository holds 477 skills in this directory. The repository was last updated on October 7, 2026.

Source: davila7/claude-code-templates on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.