A set of instructions for working with Google BigQuery, Google's service for storing and querying large datasets with SQL.

It supports query tuning, data imports and exports, table design, scheduled data-processing jobs, machine-learning models, cost checks, security settings, and troubleshooting.

It helps avoid guesswork when queries are slow, data costs rise, security needs tightening, or data pipelines fail.

bigquery — Skill for Claude Code by nguyenthanhtat

Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo

git clone --depth 1 https://github.com/nguyenthanhtat/screen1-claude

agentmods

npx agentmods add skills/nguyenthanhtat/screen1-claude/bigquery

Made for: Claude Code.

Or install screen1-skills, the plugin that ships this one along with the rest of its 46 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nguyenthanhtat/screen1-claude/bigquery/github.svg)](https://agentmods.dev/skills/nguyenthanhtat/screen1-claude/bigquery)

Your own site

<a href="https://agentmods.dev/skills/nguyenthanhtat/screen1-claude/bigquery"><img src="https://agentmods.dev/badge/skills/nguyenthanhtat/screen1-claude/bigquery/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/nguyenthanhtat/screen1-claude/bigquery"><img src="https://agentmods.dev/badge/skills/nguyenthanhtat/screen1-claude/bigquery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 0 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,027 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00000	$0.02027
Opus 5	$0.00000	$0.01014
Sonnet 5	$0.00000	$0.00405
Haiku 4.5	$0.00000	$0.00203

Measured 9d ago against content hash 887417f7a53a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

bigquery scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/bigquery/SKILL.md · 315 lines

How it starts

The opening of the file, as written. The whole thing — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.

BigQuery Skill Suite

Purpose

Comprehensive BigQuery skills covering optimization, data management, ML, security, and automation for production workloads.

Version

Version: 2.0.0
Last Updated: 2024-02-09
BigQuery API: v2
Compatibility: Standard SQL only

How to Use This Skill

Direct Sub-Skill Access

Use skill paths to access specific functionality:

/bigquery/query-optimization - Optimize slow queries, prevent duplication
/bigquery/data-loading - Import/export data from various sources
/bigquery/bqml - Machine learning model creation and prediction
/bigquery/scheduled-queries - Automate ETL pipelines
/bigquery/cost-monitoring - Track spending and optimize costs
/bigquery/security - Setup RLS, IAM, column-level security
/bigquery/schema-design - Design tables with partitioning/clustering
/bigquery/troubleshooting - Debug errors and performance issues

Chat Command Examples

# Query optimization
/bigquery/query-optimization check my query "SELECT * FROM events..."

# Data loading
/bigquery/data-loading import CSV from GCS bucket gs://my-bucket/data.csv

# Cost analysis
/bigquery/cost-monitoring show me expensive queries from last week

# Create ML model
/bigquery/bqml create prediction model for user churn

# Schedule ETL
/bigquery/scheduled-queries setup daily aggregation at 2am

Auto-Routing (Claude Decides)

If you just use /bigquery, Claude will analyze your request and automatically route to the appropriate sub-skill.

Examples:

"My query is slow" → routes to /query-optimization
"Load this CSV" → routes to /data-loading
"Predict customer value" → routes to /bqml
"Setup daily reports" → routes to /scheduled-queries

Decision Tree

User Request Analysis:
│
├─ Keywords: slow, optimize, duplicate, JOIN, performance
│  → /query-optimization
│
├─ Keywords: load, import, export, CSV, Parquet, streaming
│  → /data-loading
│
├─ Keywords: predict, model, ML, forecast, classification
│  → /bqml
│
├─ Keywords: schedule, automate, daily, ETL, pipeline
│  → /scheduled-queries
│
├─ Keywords: cost, expensive, budget, billing, slots
│  → /cost-monitoring
│
├─ Keywords: access, permission, RLS, security, IAM
│  → /security
│
├─ Keywords: CREATE TABLE, partition, cluster, schema, design
│  → /schema-design
│
└─ Keywords: error, debug, fail, troubleshoot, fix
   → /troubleshooting

Read the full file on GitHub · 315 lines

Files

What ships with it

14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

9d ago First seen · 315 lines · 0 tokens per session scan A 887417f7a53a

Subscribe to this mod's changes

bigquery is a skill published in the GitHub repository nguyenthanhtat/screen1-claude (2 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,027 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Data and AI Databases

pinecone

Managed vector DB for production RAG and search.

NousResearch/hermes-agent · 13 tokens

data-engineer

Build scalable data pipelines, modern data warehouses, and real-time streaming architectures. Implements Apache Spark, dbt, Airflow, and cloud-native data platforms.

davila7/claude-code-templates · 35 tokens

graphjin-env

Use when setting up a training or evaluation loop against a GraphJin agent environment — running the container, reading /health, driving episodes hosted or step-by-step or with your own agent over MCP, splitting train from eval, exporting trajectories, and deciding whether two rewards can be compared.

dosco/graphjin · 61 tokens

similarity-search-patterns

Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.

foryourhealth111-pixel/Vibe-Skills · 30 tokens

ingesting-into-data-lake

Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where…

aws/agent-toolkit-for-aws · 228 tokens

nornicdb-qdrant-migration

Migrate from Qdrant to NornicDB end-to-end through NornicDB's Qdrant-compatible gRPC surface. Covers connection setup, collection→database mapping, point→node mapping, the vector-config and named-vector replication, point upsert in batches, count verification, and what (deliberately) does not transfer (snapshots, HNSW…

orneryd/NornicDB · 101 tokens