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google-ai-api

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Consult Gemini’s REST API endpoints confidently.

Software Engineering#embeddings#api-reference#token-counting#file-uploads#batch-mode#gemini-rest#request-schema
Authorwenerme
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill reduces the friction of finding the right Gemini REST API endpoint shapes, parameters, and response structures when building against Google AI (Gemini).

Core Features & Use Cases

  • Gemini REST API endpoint discovery: Rapidly locate the correct method and payload/response fields for tasks like content generation, streaming, embeddings, caching, and token counting.
  • Parameter and response shape reference: Use consolidated markdown references to understand required fields, unions, enums, and resource naming conventions.
  • Operational coverage: Supports advanced topics including batch mode, live/realtime WebSocket concepts, and file upload flows referenced across the API surface.

Quick Start

Ask the Skill to provide the correct request/response schema and key parameters for the Gemini endpoint you’re implementing (for example, “How should I call models.batchGenerateContent and what should my request body include?”).

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: google-ai-api
Download link: https://github.com/wenerme/ai/archive/main.zip#google-ai-api

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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