google-genai-sdk-python

Original：🇺🇸 English

Translated

Expert guidance for writing Python code using the official Google GenAI SDK (google-genai) for Gemini API and Vertex AI. Use for text generation, multimodal inputs, reasoning, tools, and media generation.

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Sourcecnemri/google-genai-skills

Added on2026-02-07

NPX Install

npx skill4agent add cnemri/google-genai-skills google-genai-sdk-python

SKILL.md Content

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Google GenAI Python SDK Skill

Use this skill to write high-quality, idiomatic Python code for the Gemini API.

Reference Materials

Identify the user's task and refer to the relevant file:

Setup & Client: Installation, auth, client initialization.
Models: Recommended models (Flash, Pro, Lite, Imagen, Veo).
Text Generation: Basic inference, streaming, system instructions, safety.
Chat: Multi-turn conversations and history.
Reasoning: Thinking config (
```
thinking_level
```
/
```
thinking_budget
```
), thought signatures.
Structured Output: JSON schemas, Pydantic models, Enums.
Multimodal Inputs: Images, audio, video, PDFs, media resolution.
Tools: Function calling, code execution, Google Search grounding.
Media Generation: Image generation/editing (Imagen), video generation (Veo).
Source Code: Raw SDK source code for deep inspection.

Core Principles

Unified SDK: Always use
```
google-genai
```
.
Stateless Models: Use
```
client.models
```
for single requests.
Stateful Chats: Use
```
client.chats
```
for conversations.
Types: Import from
```
google.genai.types
```
.