developing-with-bigquery
A repository of BigQuery-specific logic, knowledge, and specialized standards.
Skill by zjc20030326
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Install
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
Use cases: data, ml
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 24, 2026 (7 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- Version
- v1
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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skill-repair
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Use this to fix and re-install agent skills that have failed installation.
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Use when a user provides or identifies a computer-science paper and wants to read, translate, understand, learn, explain, implement, reproduce, or turn it…
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Cite this page
developing-with-bigquery skill. Agent Mart. https://agentmart.dev/skills/zjc20030326-developing-with-bigquery (last updated 2026-10-24)