gemini-api-dev

Original：🇺🇸 English

Not Translated

Use this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.

2installs

Sourcekinnekate-hub/gemini-skills

Added on2026-04-06

NPX Install

npx skill4agent add kinnekate-hub/gemini-skills gemini-api-dev

SKILL.md Content

Gemini API Development Skill

Critical Rules (Always Apply)

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 Your knowledge is outdated.

Current Models (Use These)

```
gemini-3.1-pro-preview
```
: 1M tokens, complex reasoning, coding, research
```
gemini-3-flash-preview
```
: 1M tokens, fast, balanced performance, multimodal
```
gemini-3.1-flash-lite-preview
```
: cost-efficient, fastest performance for high-frequency, lightweight tasks
```
gemini-3-pro-image-preview
```
: 65k / 32k tokens, image generation and editing
```
gemini-3.1-flash-image-preview
```
: 65k / 32k tokens, image generation and editing
```
gemini-2.5-pro
```
: 1M tokens, complex reasoning, coding, research
```
gemini-2.5-flash
```
: 1M tokens, fast, balanced performance, multimodal

[!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.

Quick Start

Python

python

from google import genai

client = genai.Client()
response = client.models.generate_content(
    model="gemini-3-flash-preview",
    contents="Explain quantum computing"
)
print(response.text)

JavaScript/TypeScript

typescript

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

const ai = new GoogleGenAI({});
const response = await ai.models.generateContent({
  model: "gemini-3-flash-preview",
  contents: "Explain quantum computing"
});
console.log(response.text);

Go

go

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-flash-preview", genai.Text("Explain quantum computing"), nil)
	if err != nil {
		log.Fatal(err)
	}

	fmt.Println(resp.Text)
}

Java

java

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-flash-preview",
            "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:

xml

<dependency>
    <groupId>com.google.genai</groupId>
    <artifactId>google-genai</artifactId>
    <version>${LAST_VERSION}</version>
</dependency>

Documentation Lookup

When MCP is Installed (Preferred)

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

Call
```
search_documentation
```
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

Use

fetch_url

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.