bigquery-data-transfer-service

Name: bigquery-data-transfer-service
Availability: InStock
Author: ironkid90

Discover and manage BigQuery Data Transfer Service configurations via the Data Transfer API.

Updated Jun 15, 2026

Search Tags:#gcp #metadata extraction #bigquery #data transfer #ingestion pipelines

Ready to run

npx skills add https://github.com/ironkid90/lucky5-v8 --skill bigquery-data-transfer-service-ironkid90

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: bigquery-data-transfer-service
Source: https://github.com/ironkid90/lucky5-v8/tree/main/plugins/skills/bigquery-data-transfer-service
Command: npx skills add https://github.com/ironkid90/lucky5-v8 --skill bigquery-data-transfer-service-ironkid90

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gcloud, bq, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps manage and discover BigQuery Data Transfer Service (DTS) configurations, making it easier to identify existing ingestion pipelines and extract metadata for data pipelines.

Core Features & Use Cases

Discover DTS Configurations: Identify existing ingestion pipelines and extract metadata for data pipelines.
Check Existing Transfers: Verify existing transfers before creating new ones.
Manage Transfers: Create, update, and manage DTS transfers using the gcp pipeline resource provisioning framework.
Use Case: When a user needs to understand the current data ingestion setup or create a new data pipeline, this Skill can help by providing the necessary information and management tools.

Quick Start

Use the bigquery-data-transfer-service skill to list all existing transfers in the specified project and region.

Frequently Asked Questions about bigquery-data-transfer-service

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I list existing BigQuery Data Transfer Service configurations in my GCP project?▼

To list BigQuery Data Transfer Service configurations, you can discover existing ingestion pipelines by retrieving transfer configurations across a specified GCP project and region to identify current data pipelines and extract their metadata.

What is BigQuery Data Transfer Service metadata extraction used for?▼

BigQuery Data Transfer Service metadata extraction is used for identifying existing ingestion pipelines and understanding the current data pipeline setup to verify active transfers before creating new ones and manage data pipeline resources.

Can I trigger manual runs for BigQuery data transfers using gcloud?▼

Yes, you can trigger manual runs for BigQuery data transfers using gcloud. This Skill supports manual run triggering alongside project and region discovery to manage transfers via the BigQuery Data Transfer API.

Do I need gcloud and bq installed to manage BigQuery DTS ingestion pipelines?▼

Yes, you need gcloud and bq installed to manage BigQuery DTS ingestion pipelines. Interacting with the BigQuery Data Transfer API and the GCP pipeline resource provisioning framework requires these command-line dependencies.

How do I verify existing BigQuery transfers before creating a new data pipeline?▼

To verify existing BigQuery transfers before creating a new data pipeline, you can use this Skill to retrieve and check current DTS transfer configurations to prevent duplication and understand the existing ingestion setup.