Agent skill

Googlebigquery Automation

by ComposioHQ in ComposioHQ/awesome-claude-skills

Automate Google BigQuery tasks via Rube MCP (Composio): run SQL queries, explore datasets and metadata, execute MBQL queries via Metabase integration.

No licenceAuto-check passedProductivity & Automation

Install Googlebigquery Automation

skills CLI
$ npx skills add ComposioHQ/awesome-claude-skills --skill googlebigquery-automation -a claude-code

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

GitHub CLI
$ gh skill install ComposioHQ/awesome-claude-skills googlebigquery-automation --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/ComposioHQ/awesome-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/composio-skills/googlebigquery-automation .claude/skills/googlebigquery-automation && 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
googlebigquery-automation
GitHub stars
77k
Used in
3 other repos
Token cost
~1.6k tokens
SKILL.md length
513 words
Files
1
Skills in repo
585
Repo updated
First seen
Licence
None found

At a glance

Automate Google BigQuery tasks via Rube MCP (Composio): run SQL queries, explore datasets and metadata, execute MBQL queries via Metabase integration.

  • Works in 6 steps: Run a Native SQL Query → Run a Structured MBQL Query → Get Query Metadata → …
  • Tasks that involve App automation through connectors
  • SKILL.md covers Prerequisites, Setup, Core Workflows and Common Patterns, plus 2 more sections
  • Reaches rube.app

What it does

Googlebigquery Automation is an agent skill from ComposioHQ/awesome-claude-skills. Automate Google BigQuery tasks via Rube MCP (Composio): run SQL queries, explore datasets and metadata, execute MBQL queries via Metabase integration. Always search tools first for current schemas.

Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering App automation through connectors and SQL. It works with Composio, SQL and Google BigQuery. The repository describes itself as: A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows.

When your agent uses it

  • Tasks that involve App automation through connectors
  • Tasks that involve SQL

Example prompts

  • “/googlebigquery-automation”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Run a Native SQL Query
  2. Run a Structured MBQL Query
  3. Get Query Metadata
  4. Convert Query to Native SQL
  5. List Available Databases
  6. Get Database Schema Metadata

What it can do on your machine

Read from SKILL.md and the folder at commit be2a406. 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

    Hosts in commands or code, which the agent is likely to contact:

    • rube.app

    Also links to:

    • composio.dev

    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

Googlebigquery Automation loads about 1.6k tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 513 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
~1.6k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 513 words (~1,607 tokens).

“Run SQL queries, explore database schemas, and analyze datasets through the Metabase integration using Rube MCP (Composio).”

— opening of SKILL.md by ComposioHQ
name
googlebigquery-automation
requires.mcp
rube

Read the full SKILL.md on GitHub

Files

Just SKILL.md in composio-skills/googlebigquery-automation of ComposioHQ/awesome-claude-skills.

Open the folder on GitHubat commit be2a406

Used in 3 other repositories

We found 3 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 3 other GitHub owners. This page covers the copy in ComposioHQ/awesome-claude-skills, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Googlebigquery Automation 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.

Googlebigquery Automation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Googlebigquery Automation this skillComposioHQ/awesome-claude-skills77k3 repos~1.6kAutomated safety check: PassNone
Supabase Automationdavepoon/buildwithclaude3.6k7 repos~3.2kAutomated safety check: PassMIT
Cxas Configurable DashboardsGoogleCloudPlatform/cxas-scrapi107—~1.8kAutomated safety check: PassApache-2.0
Semantic Analystsidequery/sidemantic129—~982Automated safety check: PassAGPL-3.0
Analysis Artifactswarpdotdev/oz-skills825—~1.1kAutomated safety check: PassMIT
Bigquery Graphgoogle/adk-python22k—~4.8kAutomated safety check: PassApache-2.0

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Questions about Googlebigquery Automation

What does Googlebigquery Automation do?

Automate Google BigQuery tasks via Rube MCP (Composio): run SQL queries, explore datasets and metadata, execute MBQL queries via Metabase integration. Googlebigquery Automation is an agent skill from ComposioHQ/awesome-claude-skills. Automate Google BigQuery tasks via Rube MCP (Composio): run SQL queries, explore datasets and metadata, execute MBQL queries via Metabase integration.

When should I use Googlebigquery Automation?

Googlebigquery Automation fits situations like: tasks that involve App automation through connectors; tasks that involve SQL.

How do I install Googlebigquery Automation in Claude Code?

Run `npx skills add ComposioHQ/awesome-claude-skills --skill googlebigquery-automation -a claude-code`. Or copy the skill folder (composio-skills/googlebigquery-automation in ComposioHQ/awesome-claude-skills) into .claude/skills/googlebigquery-automation in your project. Claude Code loads it when a task matches its description.

How do I install Googlebigquery Automation in Codex?

Run `npx skills add ComposioHQ/awesome-claude-skills --skill googlebigquery-automation -a codex`. Or copy the skill folder (composio-skills/googlebigquery-automation in ComposioHQ/awesome-claude-skills) into .agents/skills/googlebigquery-automation in your project. Codex loads it when a task matches its description.

Can I use Googlebigquery Automation 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 ComposioHQ/awesome-claude-skills --skill googlebigquery-automation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/googlebigquery-automation, .gemini/skills/googlebigquery-automation, .github/skills/googlebigquery-automation and .opencode/skills/googlebigquery-automation in your project.

What does Googlebigquery Automation need to run?

SKILL.md names no scripts, command-line tools or credentials: Googlebigquery Automation is instructions for the agent only.

Does Googlebigquery Automation access the network?

SKILL.md names 2 domains. In commands or code: rube.app; the agent is likely to contact it when it follows the instructions. As links in the text: composio.dev. This is read from the text; nothing was executed.

Is Googlebigquery Automation 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 Googlebigquery Automation use?

No licence was found for Googlebigquery Automation or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Googlebigquery Automation use?

About 1.6k tokens (SKILL.md is roughly 6.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Googlebigquery Automation?

Skills that share tags, products or a category with Googlebigquery Automation: Supabase Automation (davepoon/buildwithclaude, 3.6k stars), Cxas Configurable Dashboards (GoogleCloudPlatform/cxas-scrapi, 107 stars), Semantic Analyst (sidequery/sidemantic, 129 stars) and Analysis Artifacts (warpdotdev/oz-skills, 825 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Googlebigquery Automation?

ComposioHQ (a GitHub organization) maintains it in ComposioHQ/awesome-claude-skills, which has 76,721 GitHub stars. The repository holds 585 skills in this directory. The repository was last updated on September 18, 2026.

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