ClaudeSuperPower
SubmitLog in

bigquery-bigframes

Skill

Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery. Use when writing BigFrames code or doing pandas-style dataframe/ML work against BigQuery (e.g. in a notebook). Don't use for SQL-first workflows or the google-cloud-bigquery client library —

0Writing

Install

git clone https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git ~/.claude/skills/bigquery-bigframes

What is bigquery-bigframes?

Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery. Use when writing BigFrames code or doing pandas-style dataframe/ML work against BigQuery (e.g. in a notebook). Don't use for SQL-first workflows or the google-cloud-bigquery client library — use bigquery-basics.

What this can do

Capabilities declared in this component's own frontmatter — not inferred.

Inherit all session tools

Declares no tool restrictions — inherits every session tool

~80 tokens of context used while enabled, before you invoke anything

Documentation

README · ~3 min read

BigFrames (BigQuery DataFrame) basics

BigFrames is a Python library that lets you take advantage of BigQuery data processing by using familiar Python APIs.

Dataframe API best practices

  • Stay in the Cloud: Perform data cleaning, transformation, and analysis via BigFrames methods to leverage BigQuery's scale rather than downloading data.
  • Prefer partial ordering mode: Enable partial ordering mode right after importing BigFrames. This speeds up data processing significantly by relaxing row-sequence constraints.

Reviews

Log in to leave a review.

No reviews yet — be the first.

Explore related

Other things in this space — across every part of the ecosystem, not just skills.

Subagents

All subagents →

agent-sdk-verifier-ts

Use this agent to verify that a TypeScript Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a TypeScript Agent SDK app has been created or modified.

32.8K stars

comment-analyzer

Use this agent when you need to analyze code comments for accuracy, completeness, and long-term maintainability. This includes (1) after generating large documentation comments or docstrings, (2) before finalizing a pull request that adds or modifies comments, (3) when reviewing existing comments fo

32.8K stars

agent-sdk-verifier-py

Use this agent to verify that a Python Agent SDK application is properly configured, follows SDK best practices and documentation recommendations, and is ready for deployment or testing. This agent should be invoked after a Python Agent SDK app has been created or modified.

32.8K stars