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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

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

Weekly Installs

44

Repository

cnemri/google-g…i-skills

GitHub Stars

109

First Seen

Jan 31, 2026

Security Audits

Gen Agent Trust HubPassSocketPassSnykWarn

Installed on

gemini-cli38

codex37

opencode34

github-copilot32

amp31

kimi-cli29