Gemini CLI Extensions
Official@gemini-cli-extensions
Google Extensions for Gemini CLI
Agent Skills by Gemini CLI Extensions
Showing 34 vetted skills indexed across 3 GitHub repositories.
gemini-cli-extensionscloud-sql-postgres-view-config
Retrieve Cloud SQL for PostgreSQL instance state, extensions, and configuration parameters.
gemini-cli-extensionscloud-sql-postgres-replication
Monitor Cloud SQL for PostgreSQL replication lag and role permissions.
gemini-cli-extensionscloud-sql-postgres-health
Audit Cloud SQL for PostgreSQL instance health and performance bottlenecks.
gemini-cli-extensionscloud-sql-postgres-monitor
Fetch PromQL metrics, EXPLAIN plans, and active queries for Cloud SQL PostgreSQL.
gemini-cli-extensionscloud-sql-postgres-vectorassist
Automate vector search configuration and optimization on Cloud SQL for PostgreSQL.
gemini-cli-extensionscloud-sql-postgres-admin
Automate Cloud SQL for PostgreSQL instance lifecycle management via the Admin API.
gemini-cli-extensionscloud-sql-postgres-data
Explore Cloud SQL for PostgreSQL schema objects and execute custom SQL queries.
gemini-cli-extensionscloud-sql-postgres-lifecycle
Manage Cloud SQL PostgreSQL instance backups, restores, and upgrade checks.
gemini-cli-extensionsdeveloping-with-bigquery
Translate BigQuery-specific logic and standards into actionable guidance for data engineers.
gemini-cli-extensionsgcp-data-pipelines
Guide selection and implementation of Google Cloud data pipelines with dbt, Dataflow, Dataform, Spark, BigQuery DTS, and Cloud Composer.
gemini-cli-extensionsdiscovering-gcp-data-assets
Locate Google Cloud data assets via Dataplex search and inspect schemas.
gemini-cli-extensionsgcp-spark
Coordinate Spark workloads on Google Cloud Dataproc and Serverless.
gemini-cli-extensionsmanaging-python-dependencies
Detect Python dependency managers and enforce project-scoped deterministic installs.
gemini-cli-extensionsdata-autocleaning
Automate data quality checks and transformations for BigQuery and GCS pipelines.
gemini-cli-extensionsgcp-dataflow
Design, package, deploy, and diagnose Apache Beam pipelines on Google Cloud Dataflow.
gemini-cli-extensionsbigquery-data-transfer-service
Discover and inspect BigQuery Data Transfer Service configurations across GCP projects.
gemini-cli-extensionsdbt-bigquery
Automate dbt pipeline design, modification, and optimization for Google BigQuery.
gemini-cli-extensionsgcp-composer-troubleshooting
Analyze Cloud Composer DAG failures and generate RCA reports.
gemini-cli-extensionsfederate-lakehouse-catalog
Federate Google Cloud Lakehouse catalogs to remote Iceberg catalogs.
gemini-cli-extensionsaccidental-data-loss-prevention
Require explicit user consent before destructive data-loss actions.
gemini-cli-extensionsbuilding-data-apps
Build data dashboards and interactive apps for Google Cloud data sources.
gemini-cli-extensionsdataform-bigquery
Automate Dataform pipeline creation, validation, and optimization for BigQuery ELT workflows.
gemini-cli-extensionsgcp-pipeline-orchestration
Automate Cloud Composer pipeline creation and management with gcloud validation.
gemini-cli-extensionsgcloud-auth-verification
Detect and resolve Google Cloud authentication errors across gcloud, bq, dataform, and Python libraries.
Frequently Asked Questions About Gemini CLI Extensions
FAQPage SchemaWhat specific technical tasks are enabled by these extensions?▼
These extensions enable terminal-based management of BigQuery ELT pipelines, Cloud SQL for PostgreSQL instance administration, and Google Workspace document or communication handling. Users can perform schema inspection, pipeline resource provisioning, and performance auditing for data-heavy environments directly through command-line interactions.
Which personas benefit most from these technical extensions?▼
Data engineers, database administrators, and cloud architects working within Google Cloud environments are the primary target personas. These extensions are designed for technical professionals who require rapid, command-line access to data pipeline configurations, SQL performance metrics, and collaborative workspace documentation.
What are the prerequisites for running these extensions?▼
Execution requires an authenticated environment with active Google Cloud project permissions and configured gcloud credentials. Users must have the necessary IAM roles for BigQuery, Cloud SQL, and Workspace access to perform administrative or data-manipulation tasks within their specific project scope.