gemini-api

Document the Gemini API with Protobuf definitions and service configurations.

2|Updated Mar 26, 2026
One-click install
npx skills add https://github.com/stephen94125/peon-lib --skill gemini-api-stephen94125
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gemini-api
Source: https://github.com/stephen94125/peon-lib/tree/main/.skills/gemini-api
Command: npx skills add https://github.com/stephen94125/peon-lib --skill gemini-api-stephen94125

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires protobuf, grpc, rest, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill provides the definitive specifications and service definitions for the Gemini API, allowing developers to build and implement robust generative AI applications.

Core Features & Use Cases

  • API Documentation: Offers precise Protobuf definitions for API capabilities and schema structures.
  • Content Generation & Tools: Facilitates construction of multimodal payloads and function calling schemas.
  • Model Metadata & Safety Settings: Delivers detailed information about models, their configurations, and safety ratings.
  • File Uploads: Handles multimodal content structures for file uploads and storage.
  • Use Case: Ideal for implementing clients that require detailed understanding of the Gemini API, such as content generation, dialogue agents, and reasoning systems.

Quick Start

To use the Gemini API with this Skill, ensure you have the necessary Proto files and configurations ready, then integrate them into your application logic.

Frequently Asked Questions about gemini-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I get Protobuf definitions for the Gemini API?

This Skill delivers the definitive Protobuf definitions and service configurations for the Gemini API. It provides precise schema structures needed for building generative AI applications and handling multimodal content payloads.

Can I use gRPC and REST for Gemini API service interaction?

Yes, the Gemini API supports both gRPC and REST for service interaction. This Skill requires ProtoBuf definitions alongside either gRPC or REST to implement clients for content generation and reasoning systems.

How do I build multimodal content payloads for Google's Gemini API?

You build multimodal content payloads for Google's Gemini API using the provided service definitions. This Skill supplies the schema structures needed to construct multimodal payloads, file uploads, and function calling schemas.

Where can I find model metadata and safety settings for the Gemini API?

You can find model metadata and safety settings for the Gemini API within this Skill's comprehensive documentation. It delivers detailed information about available models, their configurations, and specific safety ratings.

Do I need ProtoBuf to implement a Gemini API client?

Yes, you need ProtoBuf to implement a Gemini API client using these specifications. The Skill provides the necessary Proto files and configurations required to integrate detailed schema knowledge into your application logic.

What's the best way to structure function calling schemas for the Gemini API?

The best way to structure function calling schemas for the Gemini API is by using the official Protobuf definitions. This Skill offers precise schema structures to facilitate content generation and tool integration.