Does this skill support GCS and GKE?

BigQuery is currently fully supported for querying and schema exploration, while GCS and GKE read-only features are scheduled for future updates.

Can I perform data migrations or updates with this tool?

No, the skill is designed exclusively for data exploration and analysis; it explicitly prohibits INSERT, UPDATE, DELETE, and DROP operations.

Is it safe to use this skill with production data?

Yes, the skill is strictly read-only and respects your existing GCP IAM permissions to ensure data security and prevent accidental modifications.

How do I authenticate the skill with my GCP account?

You can authenticate using standard GCP methods, such as 'gcloud auth application-default login' or by setting the GOOGLE_APPLICATION_CREDENTIALS environment variable.

GCP Developer Toolkit

Name: GCP Developer Toolkit
Author: SerendipityOneInc

bySerendipityOneInc

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Cloud Infrastructure

Provides read-only access to Google Cloud Platform resources for data analysis, schema exploration, and infrastructure monitoring.

About

The GCP Developer Toolkit is a specialized skill designed to empower developers with secure, read-only access to Google Cloud Platform resources directly within Claude Code. It streamlines data exploration and infrastructure visibility by allowing users to query BigQuery datasets, inspect table schemas, and list cloud resources across GCP projects without leaving their development environment. By enforcing strict read-only permissions, it ensures security and compliance while providing the necessary visibility for debugging, data analysis, and architectural planning.

Key Features

Analyze data trends using SQL aggregations and joins
Secure read-only enforcement to prevent accidental data modification
List and discover GCP resources across multiple projects
Explore BigQuery table schemas and project hierarchies
Execute complex read-only SQL queries against BigQuery datasets
1 GitHub stars

Use Cases

Analyzing user engagement or performance metrics using SQL queries within the CLI
Verifying cloud resource configurations and status for debugging and monitoring
Exploring BigQuery datasets to understand table structures before writing application code

About

Key Features

Analyze data trends using SQL aggregations and joins
Secure read-only enforcement to prevent accidental data modification
List and discover GCP resources across multiple projects
Explore BigQuery table schemas and project hierarchies
Execute complex read-only SQL queries against BigQuery datasets
1 GitHub stars

Use Cases

Analyzing user engagement or performance metrics using SQL queries within the CLI
Verifying cloud resource configurations and status for debugging and monitoring
Exploring BigQuery datasets to understand table structures before writing application code