🌌 google-genai-skills - Enhance Your AI’s Capabilities

google-genai-skills is a collection of agentic skills for extending AI assistants that use Google AI frameworks and development tools.

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🌌 google-genai-skills - Enhance Your AI’s Capabilities

Introduction

Overview

google-genai-skills is a repository of reusable agentic skills designed to expand how AI assistants work with Google AI frameworks and models. Its scope includes development workflows involving Gemini CLI and Antigravity IDE, with compatibility also described for Claude Code.

The collection packages focused guidance for particular SDKs and model-building tasks rather than presenting a single general-purpose assistant. Each listed skill addresses a defined part of the Google generative AI development ecosystem.

Included Skills

The repository identifies three implemented skills:

  • google-adk-python covers the Python SDK for Google Agent Development Kit.
  • google-genai-sdk-python provides best-practice guidance for the Google GenAI Python SDK.
  • veo-build focuses on building with Google DeepMind Veo.

Together, these skills span agent development, Python SDK usage, and Veo-oriented work. Their implemented status distinguishes the currently available collection from roadmap items planned for future releases.

Installation and Requirements

The project distributes releases as downloadable archives. The documented process consists of selecting the latest release, downloading the appropriate compressed file, extracting it locally, and locating the main application file in the extracted folder. Individual skill guidance is kept in the repository’s documentation folder.

Supported environments are described as Windows 10 or later, macOS 10.15 or later, and modern Linux distributions. The stated baseline is 4 GB of memory with 8 GB recommended, alongside an Intel i5 or equivalent processor, with an Intel i7 or better recommended.

Project and Licensing

google-genai-skills is published under the MIT License and accepts community contributions through the repository workflow. Its roadmap includes skills for additional Google AI tools, expanded documentation and usage guides, and improvements informed by user feedback.