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gemini-api-dev

/gemini-api-dev

Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, 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.

Licence
MIT
Last repository change
16.10.2026

Assessment and security

100/ 100Class: good
Format25 / 25
Frontmatter with name and description, valid name, description up to 1,024 characters, name matching the folder.
Discoverability25 / 25
Description explains when to use the skill, has a reasonable length and uses third person.
Content35 / 35
At least 150 words and at most 500 lines, headings, step lists, examples or code.
Hygiene15 / 15
No placeholders such as TODO, no Windows paths, with a licence.
Riskno signals detected in the scan
Files in this package
1
Scripts
0
HTML comments
0
URLs in SKILL.md
10
Deprecation

No signals detected. Repository changed on 16.10.2026, without references to retired models or APIs.

Licence

MIT, open: use and modify while retaining author attribution.

What it does and when to use it

Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, 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.

Original author description

Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, 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.

How it works

  1. Critical Rules (Always Apply)
  2. Quick Start
  3. Documentation Lookup
  4. Gemini Live API
Original SKILL.md headings · 161 lines, 539 words
SKILL.md preview
---
name: gemini-api-dev
description: Use this skill when building applications with Gemini API hosted models, including Gemini and Gemma 4, 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-3.5-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.

---

## Quick Start

### Python
```python
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
```typescript
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
```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-3.5-flash", 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-3.5-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:${LAST_VERSION}")`
- Maven:
  ```xml
  <dependency>
      <groupId>com.google.genai</groupId>
      <artifactId>google-genai</artifactId>
      <version>${LAST_VERSION}</version>
  </dependency>
  ```

---

## Documentation Lookup

### When MCP is Installed (Preferred)

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

1. Call `search_docs` with your query
2. Read the returned documentation
2. **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:
1. Fetch `llms.txt` to discover available pages
2. 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.

Versions

RepositoryScoreLicence
This page · hamzabellouch/agent-skills100MIT
taianh20102011/skill-for-ai100MIT
rootcastleco/rei-skills100MIT
sickn33/agentic-awesome-skills100MIT
dhar174/langgraph_system_generator100MIT
PracticalSwan/agent-skills100MIT
google-gemini/gemini-skills100Apache-2.0
notaayushsrivastava/adevkit100MIT
kumaran-is/claude-code-onboarding100MIT

Database snapshot: 13.11.2026 · package version fb2a5f9775dd (SHA-256 digest of the entire package)

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