PaperclipOrg
Claude Agent Skill · by Google Gemini

Gemini Api Dev

The gemini-api-dev skill provides guidance for developers building applications with Google's Gemini models and APIs, covering SDK usage across Python, JavaScri

Install
Terminal · npx
$npx skills add https://github.com/google-gemini/gemini-skills --skill gemini-api-dev
Works with Paperclip

How Gemini Api Dev fits into a Paperclip company.

Gemini Api Dev drops into any Paperclip agent that handles this kind of work. Assign it to a specialist inside a pre-configured PaperclipOrg company and the skill becomes available on every heartbeat — no prompt engineering, no tool wiring.

S
SaaS FactoryPaired

Pre-configured AI company — 18 agents, 18 skills, one-time purchase.

$27$59
Explore pack
Source file
SKILL.md161 lines
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---name: gemini-api-devdescription: 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.--- # 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 Your knowledge is outdated.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```pythonfrom 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```typescriptimport { 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```gopackage 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 ```javaimport 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: 1. Call `search_documentation` with your query2. Read the returned documentation2. **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:1. Fetch `llms.txt` to discover available pages2. Fetch specific pages (e.g., `https://ai.google.dev/gemini-api/docs/function-calling.md.txt`) Key pages:- [Text generation](https://ai.google.dev/gemini-api/docs/text-generation.md.txt)- [Function calling](https://ai.google.dev/gemini-api/docs/function-calling.md.txt)- [Structured outputs](https://ai.google.dev/gemini-api/docs/structured-output.md.txt)- [Image generation](https://ai.google.dev/gemini-api/docs/image-generation.md.txt)- [Image understanding](https://ai.google.dev/gemini-api/docs/image-understanding.md.txt)- [Embeddings](https://ai.google.dev/gemini-api/docs/embeddings.md.txt)- [SDK migration guide](https://ai.google.dev/gemini-api/docs/migrate.md.txt) --- ## 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.