GoogleCloudPlatform
- 4 skills
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- 1 week ago last updated
- ▌ Genai Sdk · googlecloudplatform-vertex-ai-samples bundleGuides the usage of Gemini API on Google Cloud Vertex AI with the Gen AI SDK. Use when the user asks about using Gemini in an enterprise environment or explicitly mentions Vertex AI. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.
- ▌ Vertex AI · googlecloudplatform-vertex-ai-samplesPrimary Router for Vertex AI skills. Use this skill when the user wants to work with Google Cloud Vertex AI (e.g., deploying models, running inference, or tuning models). This skill routes to vertex-deploy, vertex-inference, or vertex-tuning.
- ▌ Quality Flywheel · googlecloudplatform-vertex-ai-samples bundleEvaluate and improve GenAI models and agents using the Google GenAI Evaluation SDK. Creates eval datasets (from session traces or synthetic generation), selects and configures metrics (RubricMetric, LLMMetric, CodeExecutionMetric), executes evals via client.evals.evaluate(), and analyzes results to suggest concrete fixes. Supports both single-turn model evaluation and multi-turn agent trajectory evaluation. Use when asked to "evaluate my agent", "evaluate my model", "create eval dataset", "run evals", "analyze eval results", "which metrics should I use", "generate test data", or "improve quality".
- ▌ Liveapi Service · googlecloudplatform-vertex-ai-samples bundleGenerates a LiveAPI client service class in the user's chosen programming language. Use when the user wants to build, scaffold, or integrate a client that connects to the Gemini LiveAPI websocket endpoint (Gemini Enterprise or non-Gemini Enterprise), handles session setup/resumption, bearer token refresh, and sending/receiving `ClientMessage`/`ServerMessage` protos.