Can I use this skill with Pydantic or Zod?

Yes, this skill includes specific patterns for implementing structured outputs using Pydantic in Python and Zod in TypeScript to ensure type-safe JSON responses.

What are Thought Signatures?

Thought signatures are mechanisms used to manage multi-turn reasoning context, especially during complex function calling sequences, to ensure the model maintains logical consistency.

Does this support Google Search grounding?

Yes, it provides configurations to enable built-in tools like Google Search for real-time information retrieval and Code Execution for safe sandboxed processing.

How does context caching reduce costs?

Context caching allows you to store large amounts of data (over 2,000 tokens) in the model's memory for a set duration, making subsequent queries about that data up to 90% cheaper and significantly faster.

Is this skill compatible with LangChain?

Absolutely. It includes guidance on integrating advanced Gemini features with popular frameworks like LangChain, Vercel AI SDK, and Pydantic AI.

Gemini 3 Advanced Features

Name: Gemini 3 Advanced Features
Author: adaptationio

byadaptationio

Data Science & ML

Implements advanced Gemini 3 Pro capabilities including function calling, structured JSON outputs, and cost-efficient context caching for production AI applications.

About

This skill provides a comprehensive guide and implementation patterns for leveraging the full suite of Gemini 3 Pro's advanced features. It enables developers to build sophisticated, production-ready applications by mastering function calling with OpenAPI 3.0, grounding responses with Google Search, and ensuring data integrity through structured outputs via Pydantic or Zod. Additionally, it provides workflows for reducing operational costs by up to 90% using context caching for large datasets and managing complex multi-turn reasoning with thought signatures. This is the definitive resource for developers looking to integrate Gemini's high-tier capabilities into modern AI frameworks like LangChain and Vercel AI.

Key Features

Guaranteed Structured JSON Outputs (Pydantic/Zod)
Google Search Grounding & Code Execution
Context Caching for 90% Cost Reduction
0 GitHub stars
Custom Tool Integration & Function Calling
Batch Processing & Multi-turn Reasoning Management

Use Cases

Building AI agents with custom tools and real-time search grounding.
Optimizing long-context LLM applications for production-scale cost savings.
Generating high-reliability structured data for downstream API consumption.

About

Key Features

Guaranteed Structured JSON Outputs (Pydantic/Zod)
Google Search Grounding & Code Execution
Context Caching for 90% Cost Reduction
0 GitHub stars
Custom Tool Integration & Function Calling
Batch Processing & Multi-turn Reasoning Management

Use Cases

Building AI agents with custom tools and real-time search grounding.
Optimizing long-context LLM applications for production-scale cost savings.
Generating high-reliability structured data for downstream API consumption.