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developing-with-bigquery

A repository of BigQuery-specific logic, knowledge, and specialized standards.

Skill by zjc20030326

IndexedApache-2.0
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

A repository of BigQuery-specific logic, knowledge, and specialized standards. Use this skill whenever you are doing anything with BigQuery, including: 1. BigQuery query optimization 2. BigFrames Python code 3. BigQuery ML/AI functions.

Use cases: data, ml

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/developing-with-bigquery

What's inside

Skill name
developing-with-bigquery
Description
A repository of BigQuery-specific logic, knowledge, and specialized standards. Use this skill whenever you are doing anything with BigQuery, including: 1. BigQuery query optimization 2. BigFrames Python code 3. BigQuery ML/AI functions.
License
Apache-2.0
Metadata
version: v1 · publisher: google
Instructions
46 lines in SKILL.md · view on GitHub

Files (12)

  • LICENSE
  • SKILL.md
  • BIGFRAMES.md · resources/
  • BQML.md · resources/
  • OPTIMIZATION.md · resources/
  • ai-evaluate.md · resources/
  • ai-forecast.md · resources/
  • ai-generate-embedding.md · resources/
  • ai-generate-table.md · resources/
  • ml-contribution-analysis.md · resources/
  • remote-models.md · resources/
  • vector-search.md · resources/

SKILL.md (first lines)

This skill provides comprehensive guidance for BigQuery services, optimizations,
and data handling. It acts as a routing table for specialized BigQuery topics.

> [!IMPORTANT] For general standards on running BigQuery in notebooks (SQL
> cells, `export` keyword), see `@skill:notebook-guidance`.

> [!IMPORTANT] You MUST check the data size before deciding on which libraries
> to use. Use the data size to justify your decision.

Refer to the following resources for expert guidance on specific BigQuery
features:

### 1. Query Optimization

Performance and efficiency guidelines for BigQuery SQL. Includes rules for
column pruning, pushdown, and materialization strategies. - **Guide**:
[OPTIMIZATION.md](resources/OPTIMIZATION.md)

### 2. BigFrames (BigQuery DataFrames)

Guidelines for generating valid BigFrames code for data manipulation, model
development, and visualization. - **Guide**:
[BIGFRAMES.md](resources/BIGFRAMES.md)

Bigframes should be the default library/tool as it is more efficient than using
the BigQuery Python client library.

### 3. BigQuery ML & AI Functions (BQML SQL)

Usage rules and syntax standards for all BigQuery AI/ML functions via SQL
(Forecasting, Generative AI, Classification, etc.). - **Guide**:
[BQML.md](resources/BQML.md) - **Functions Reference**: -
[AI.FORECAST](resources/ai-forecast.md) -
[AI.EVALUATE](resources/ai-evaluate.md) -
[AI.GENERATE_TABLE](resources/ai-generate-table.md) -
[AI.GENERATE_EMBEDDING](resources/ai-generate-embedding.md) -
[Remote Models](resources/remote-models.md)
[CONTRIBUTION_ANALYSIS](resources/ml-contribution-analysis.md)
[VECTOR_SEARCH](resources/vector-search.md)

### 4. Notebook SQL cells

Refer to `@skill:notebook-guidance` for standards on running BigQuery in
notebooks.

From zjc20030326/personal-agent-skills, Apache-2.0.

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Last commit (this folder)
Oct 24, 2026 (4 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
v1
License
Apache-2.0
Repository
github.com/zjc20030326/personal-agent-skills
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

More from zjc20030326

Cite this page

developing-with-bigquery skill. Agent Mart. https://agentmart.dev/skills/zjc20030326-developing-with-bigquery (last updated 2026-10-24)