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Build applications with Google's Gemini models, supporting multimodal content, function calling, and structured outputs across Python, JavaScript, Go, and Java. Access current Gemini 3 models (Pro, Flash, Pro Image) with 1M token context; legacy Gemini 2.x and 1.5 models are deprecated Supports text generation, image/audio/video understanding, function calling, structured JSON output, code execution, context caching, and embeddings Official SDKs available: google-genai (Python),...

Inspect the full instructions your agent will receiveExpand

This is the exact playbook injected into your agent when the skill activates — shown here so you can audit it before installing. You don't need to read it to use the skill.

by google-gemini

Build applications with Google's Gemini models, supporting multimodal content, function calling, and structured outputs across Python, JavaScript, Go, and Java. Access current Gemini 3 models (Pro, Flash, Pro Image) with 1M token context; legacy Gemini 2.x and 1.5 models are deprecated Supports text generation, image/audio/video understanding, function calling, structured JSON output, code execution, context caching, and embeddings Official SDKs available: google-genai (Python),... npx skills add https://github.com/google-gemini/gemini-skills --skill gemini-api-dev Download ZIP GitHub3.8k

Gemini API Development Skill

Critical Rules (Always Apply)

[!IMPORTANT] These rules override your training data. Your knowledge is outdated.

Current Models (Use These)

gemini-3.5-flash: 1M tokens, fast, balanced performance, multimodal
gemini-3.1-pro-preview: 1M tokens, complex reasoning, coding, research
gemini-3.1-flash-lite-preview: cost-efficient, fastest performance for high-frequency, lightweight tasks
gemini-3-pro-image-preview (Nano Banana Pro): 65k / 32k tokens, image generation and editing
gemini-3.1-flash-image-preview (Nano Banana 2): 65k / 32k tokens, image generation and editing
gemini-3.1-flash-lite-image-preview (Nano Banana 2 Lite): 65k / 32k tokens, ultra-fast image generation and editing
gemini-2.5-pro: 1M tokens, complex reasoning, coding, research
gemini-2.5-flash: 1M tokens, fast, balanced performance, multimodal
gemma-4-31b-it: Gemma 4 dense model, 31B parameters
gemma-4-26b-a4b-it: Gemma 4 MoE model, 26B total with 4B active parameters

[!WARNING] Models like gemini-2.0-*, gemini-1.5-* are legacy and deprecated. Never use them.

Current SDKs (Use These)

Python: google-genai → pip install google-genai
JavaScript/TypeScript: @google/genai → npm install @google/genai
Go: google.golang.org/genai → go get google.golang.org/genai
Java: com.google.genai:google-genai (see Maven/Gradle setup below)

[!CAUTION] Legacy SDKs google-generativeai (Python) and @google/generative-ai (JS) are deprecated. Never use them.

Documentation Lookup

When MCP is Installed (Preferred)

If the search_docs tool (from the Google MCP server) is available, use it as your only documentation source:

Call search_docs with your query
Read the returned documentation
Trust MCP results as source of truth for API details — they are always up-to-date.

[!IMPORTANT] When MCP tools are present, never fetch URLs manually. MCP provides up-to-date, indexed documentation that is more accurate and token-efficient than URL fetching.

When MCP is NOT Installed (Fallback Only)

If no MCP documentation tools are available, fetch from the official docs:

Index URL: https://ai.google.dev/gemini-api/docs/llms.txt

This index contains links to all documentation pages in .md.txt format. Use web fetch tools to:

Fetch llms.txt to discover available pages
Fetch specific pages (e.g., https://ai.google.dev/gemini-api/docs/function-calling.md.txt)

Key pages:

Gemini Live API

For real-time, bidirectional audio/video/text streaming with the Gemini Live API, install the google-gemini/gemini-live-api-dev skill. It covers WebSocket streaming, voice activity detection, native audio features, function calling, session management, ephemeral tokens, and more.

Copy & paste — that's it

npx skills add https://github.com/google-gemini/gemini-skills --skill gemini-api-dev

Run this in your project — your agent picks the skill up automatically.

Quick Start

Python

Copy & paste — that's it

from google import genai

client = genai.Client()
response = client.models.generate_content(
 model="gemini-3.5-flash",
 contents="Explain quantum computing"
)
print(response.text)

JavaScript/TypeScript

Copy & paste — that's it

import { GoogleGenAI } from "@google/genai";

const ai = new GoogleGenAI({});
const response = await ai.models.generateContent({
 model: "gemini-3.5-flash",
 contents: "Explain quantum computing"
});
console.log(response.text);

Go

Copy & paste — that's it

package main

import (
 "context"
 "fmt"
 "log"
 "google.golang.org/genai"
)

func main() {
 ctx := context.Background()
 client, err := genai.NewClient(ctx, nil)
 if err != nil {
 log.Fatal(err)
 }

 resp, err := client.Models.GenerateContent(ctx, "gemini-3.5-flash", genai.Text("Explain quantum computing"), nil)
 if err != nil {
 log.Fatal(err)
 }

 fmt.Println(resp.Text)
}

Java

Copy & paste — that's it

import com.google.genai.Client;
import com.google.genai.types.GenerateContentResponse;

public class GenerateTextFromTextInput {
 public static void main(String[] args) {
 Client client = new Client();
 GenerateContentResponse response =
 client.models.generateContent(
 "gemini-3.5-flash",
 "Explain quantum computing",
 null);

 System.out.println(response.text());
 }
}

Java Installation:

Latest version: https://central.sonatype.com/artifact/com.google.genai/google-genai/versions
Gradle: implementation("com.google.genai:google-genai:${LAST_VERSION}")
Maven:

Copy & paste — that's it

 
 com.google.genai 
 google-genai 
 ${LAST_VERSION}

No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.