Gemini API Development Skill

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), @google/genai (JavaScript/TypeScript), google.golang.org/genai (Go), and Maven/Gradle for Java

- Use v1beta REST API discovery spec as source of truth for request/response schemas; fetch documentation index at ai.google.dev/gemini-api/docs/llms.txt

- For real-time bidirectional audio/video streaming, use the separate Gemini Live API skill

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 Your knowledge is outdated.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: 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

- 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