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Found 23 Skills
Manages identity and access control for Google Cloud resources using IAM policies and roles.
Execute automatic activation for all google vertex ai multimodal operations operations. Use when appropriate context detected. Trigger with relevant phrases based on skill purpose.
Learn how to structure a Flutter project to reuse models and business logic across iOS, Android, Web, desktop platforms, and a REST API deployable to Google Cloud Run, enabling a single codebase for both client and server.
Use these skills when you need to handle large-scale data exploration and dataset management. Use when users need to find data assets or run SQL at scale. Provides metadata discovery and query execution across the data warehouse.
CLI and skills for building, evaluating, and deploying AI agents on Google Cloud's Gemini Enterprise Agent Platform using ADK
A focused Cloud Run Admin API CLI with agent-native output, local inventory, and command discovery. Trigger phrases: `inspect Cloud Run services`, `list Cloud Run jobs`, `find Cloud Run revisions`, `check Cloud Run executions`, `search Cloud Run inventory`.
Manages custom Agent resources on Gemini Enterprise Agent Platform. Use when the user wants to programmatically create, configure, list, update, or delete stateful, server-managed Agent resources (including mounting files, skills, and tools) before executing conversations.
Upload videos to YouTube with title, description, tags. Use for: youtube upload, publish video, share on youtube.
Query Google Analytics 4 (GA4) data via the Analytics Data API. Use when you need to pull website analytics like top pages, traffic sources, user counts, sessions, conversions, or any GA4 metrics/dimensions. Supports custom date ranges and filtering.
Use these skills when you need to troubleshoot performance bottlenecks, analyze query execution plans, identify resource-heavy processes, and monitor system-level PromQL metrics.
Finds and inspects data assets within Google Cloud. Relevant when any of the following conditions are true: 1. The user request involves finding, exploring, or inspecting data assets in Google Cloud, such as: - BigQuery datasets, tables, or views - BigLake catalog or tables - Spanner instances, databases or tables - etc. 2. You need to retrieve the schema, metadata, or governance policies for a GCP data asset. 3. You have a keyword or topic (e.g., "sales data") but lack the specific table or resource ID. 4. You are attempting to find data using `bq ls`, as this skill offers a superior approach. Don't use when: - Assets are outside Google Cloud