Claude skills for BigQuery

The 27 strongest of 30 BigQuery skills on GitHub. Skills built for BigQuery come first; no repository gets more than 3 spots. Each links to its folder; copy it into ~/.claude/skills/ to use it.

  1. bigquery pipeline audit

    Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.

    github/awesome-copilot★ 41kMITFolder: bigquery-pipeline-audit

  2. ga4 bigquery schema

    GA4 BigQuery Export Schema Reference — complete field reference, nested structures, query patterns, and performance tips

    cognyai/claude-code-marketing-skills★ 111No licence statedFolder: ga4-bigquery-schema

  3. optimizing bigquery queries

    Reduce Google BigQuery cost and runtime — partitioning and clustering, minimizing bytes processed, avoiding SELECT * and full scans, slot usage and reservations, approximate functions, and materialized views. Use when BigQuery queries are expensive or…

    Unknown-333/awesome-data-engineering-skills★ 25Licence: see repoFolder: optimizing-bigquery-queries

  4. imaging data commons

    Queries and downloads public cancer imaging data from NCI Imaging Data Commons. Supports IDC collection discovery, DICOM access, radiology (CT, MR, PET) and pathology AI datasets, metadata SQL, visualization, licensing, and citations. Uses public metadata…

    K-Dense-AI/scientific-agent-skills★ 55kMITFolder: imaging-data-commons

  5. sql queries

    Generate SQL queries from natural language descriptions. Supports BigQuery, PostgreSQL, MySQL, and other dialects. Reads database schemas from uploaded diagrams or documentation. Use when writing SQL, building data reports, exploring databases, or…

    phuryn/pm-skills★ 28kMITFolder: sql-queries

  6. gcp audit logs

    Configure GCP Cloud Audit Logs for compliance. Set up log routing and BigQuery analysis. Use when auditing GCP activity.

    BagelHole/DevOps-Security-Agent-Skills★ 1.2kMITFolder: gcp-audit-logs

  7. gcp patterns

    Cloud Run deployment, BigQuery optimization, Pub/Sub patterns, IAM best practices

    vibeeval/vibecosystem★ 541MITFolder: gcp-patterns

  8. deploying on gcp

    Implement applications using Google Cloud Platform (GCP) services. Use when building on GCP infrastructure, selecting compute/storage/database services, designing data analytics pipelines, implementing ML workflows, or architecting cloud-native…

    ancoleman/ai-design-components★ 525MITFolder: deploying-on-gcp

  9. uspto database

    Access USPTO patent data via PatentsView REST API and Google Patents Public Data (BigQuery). Search by inventor, assignee, CPC, or keywords; download metadata and claims; analyze portfolios; track tech trends. For IP landscape analysis, competitor…

    jaechang-hits/SciAgent-Skills★ 384Licence: see repoFolder: uspto-database

  10. gcp development

    Google Cloud Platform (GCP) development best practices for Cloud Functions, Cloud Run, Firestore, BigQuery, and Infrastructure as Code.

    Mindrally/skills★ 288Apache-2.0Folder: gcp-development

  11. altimate code

    Delegates dbt and warehouse work to altimate-code, a specialized CLI agent with 100+ purpose-built data tools. USE THIS SKILL FIRST whenever the task mentions or implies: warehouse access (Snowflake, BigQuery, Redshift, Databricks, Postgres, MySQL,…

    AltimateAI/data-engineering-skills★ 130MITFolder: altimate-code

  12. data pipeline etl expert

    Expert guide for Data Pipelines, ETL/ELT, and Analytics Engineering. Covers dbt, Apache Airflow, Dagster, BigQuery, ClickHouse, and DuckDB / Panduan ahli untuk Data Pipelines, ETL/ELT. Mencakup dbt, Airflow, Dagster, BigQuery, ClickHouse, dan DuckDB.

    roedyrustam/vibes-plug★ 116MITFolder: data-pipeline-etl-expert

  13. conversion debug

    Conversion Tracking Debugger — diagnose discrepancies across GTM, GA4, Google Ads & Meta Pixel with live API access, BigQuery validation queries, and troubleshooting flowcharts

    cognyai/claude-code-marketing-skills★ 111No licence statedFolder: conversion-debug

  14. cwv audit

    Core Web Vitals Reference — LCP, INP, CLS thresholds, root causes, optimization fixes, CrUX BigQuery queries, web-vitals library usage, and SEO impact

    cognyai/claude-code-marketing-skills★ 111No licence statedFolder: cwv-audit

  15. analytics insights

    Drive Google Analytics (GA4), Google Tag Manager, Google Search Console, and BigQuery from chat — tracking plans, GA4 reports, key-event (conversion) setup, custom dimensions and metrics, GTM audits, GSC performance, and GA4 BigQuery export queries. Use…

    hyperfx-ai/marketing-skills★ 107MITFolder: analytics-insights

  16. deepline gtm

    GTM leads, enrichment, outreach, Plays, developer signals/Reo.dev. Providers:…

    getaero-io/gtm-eng-skills★ 72MITFolder: deepline-gtm

  17. analysis artifacts

    Use when the user requests a deep dive, exploratory analysis, or data analysis on BigQuery. Not for credential, publish, deploy, or irreversible changes.

    OutlineDriven/outline-driven-development★ 55Apache-2.0Folder: analysis-artifacts

  18. dbt model index

    Use when a human-curated dbt model index must guide BigQuery SQL for a warehouse question. Not for discovering undocumented models or executing warehouse changes.

    OutlineDriven/outline-driven-development★ 55Apache-2.0Folder: dbt-model-index

  19. google skills

    Finds and loads the right official Google Cloud skill (GKE, Vertex AI, BigQuery, Cloud Run, Cloud SQL, Cloud Build, Cloud Monitoring, Cloud Logging, IAM, networking, Cloud Storage, Filestore, SLO alerting, Well-Architected Framework, etc.) from a local,…

    jjmartres/ai-coding-agents★ 48MITFolder: google-skills

  20. gcp architect

    Design Google Cloud architectures — GKE, Cloud Run, BigQuery, Pub/Sub, and Cloud Spanner solutions.

    inbharatai/claude-skills★ 41MITFolder: gcp-architect

  21. create dataflow

    Use this skill when the user wants to create a new dataflow, set up a new data import, connect a new data source to a destination, pull data from an integration into Google Sheets or BigQuery or another destination, or configure a source-to-destination…

    coupler-io/skills★ 39MITFolder: create-dataflow

  22. optimizing sql queries

    Optimize slow analytical SQL by reading query/EXPLAIN plans, cutting scanned data, fixing join strategy, and using partitioning, clustering, and indexes across Postgres, Snowflake, BigQuery, Databricks/Spark SQL, and Redshift. Use when a query is slow,…

    Unknown-333/awesome-data-engineering-skills★ 25Licence: see repoFolder: optimizing-sql-queries

  23. terraform for data infra

    Provision data infrastructure with Terraform — warehouses, buckets, IAM/roles, orchestration, and streaming resources — using modules, remote state, workspaces/environments, and safe plan/apply workflows. Use when writing Terraform for…

    Unknown-333/awesome-data-engineering-skills★ 25Licence: see repoFolder: terraform-for-data-infra

  24. typescript data engineering

    Use when building data pipelines, ETL jobs, event processors, message-broker producers/consumers, application caching layers, database migrations, BigQuery queries, or event-sourcing handlers in TypeScript. Triggers on edits to indexer/ETL/migration code,…

    LazyIsEfficient/agentic-os★ 17MITFolder: typescript-data-engineering

  25. pytest databases

    Auto-activate for pytest_databases, Docker DB fixtures, PostgreSQL/pgvector/ParadeDB, MySQL/MariaDB, Oracle/SQL Server, CockroachDB, MongoDB, Redis/Valkey, BigQuery/Spanner, MinIO, or RustFS. Not for mocked DBs.

    litestar-org/litestar-skills★ 16MITFolder: pytest-databases

  26. soda checks

    Authors and runs SodaCL (Soda Checks Language) checks against SQL warehouses (Snowflake, BigQuery, Postgres, Redshift, etc.) via `soda scan`, configures scan profiles in configuration.yml, and gates CI on scan exit code. Use when the user works with Soda…

    testland/qa★ 13MITFolder: soda-checks

  27. data engineer

    Design and build production-grade data pipelines, ETL/ELT workflows, data warehouses, and streaming architectures. Use when the user asks about data pipelines, ETL/ELT, dbt models, Airflow DAGs, Kafka, data warehouses (Snowflake, BigQuery, Redshift), data…

    CODE-SAURABH/OpenSkills★ 3MITFolder: data-engineer

Claude skills for BigQuery: what people ask

Is there a Claude skill for BigQuery?

There are 30 of them, spread over 23 repositories on GitHub. Named for it and most starred: bigquery pipeline audit (github/awesome-copilot, ★ 41k), ga4 bigquery schema (cognyai/claude-code-marketing-skills, ★ 111) and optimizing bigquery queries (Unknown-333/awesome-data-engineering-skills, ★ 25). Stars rate the repository a skill sits in, not the skill.

How do I install a Claude skill for BigQuery?

For BigQuery, take the bigquery-pipeline-audit folder from github/awesome-copilot (the folder that holds SKILL.md) into ~/.claude/skills/ to use it in every Claude Code project, or into .claude/skills/ for one project. In the Claude apps, zip that folder and upload it as a custom skill in settings.

What should I check before installing a BigQuery skill?

A BigQuery skill is instructions Claude follows, and it can bundle scripts Claude runs, so read SKILL.md and every script first: for bigquery pipeline audit, that is everything in the bigquery-pipeline-audit folder. 1 of the 27 here, data engineer, come from repositories with under 10 stars, so few people have looked at it. Red flags: piping a download into a shell, sending files to a URL, and instructions to hide what it does from you.

Are these BigQuery skills maintained?

19 of the 30 BigQuery skills sit in repositories that changed in the 30 days before 31 Oct 2026.

Are these BigQuery skills official?

No. None of the 30 BigQuery skills comes from Anthropic's own skills repository, so all of them are community-made across 23 repositories.

Can I use these BigQuery skills at work?

Of the 27 BigQuery skills listed here, 20 sit in repositories under an open licence such as MIT or Apache 2.0, and 3, such as ga4 bigquery schema and conversion debug, state no licence at all, which legally means you may not reuse them. Check the licence file before you copy one into company work.

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