To help models gain expertise for specific development patterns that follow our best practices, we are continuing to expand our repository of Android skills, available through Android CLI and GitHub.
Android skills ground LLMs in specialized workflows and domain knowledge, for the most common and more complex user journeys they might struggle with. We’ve shipped a fresh new batch of skills, with now more than 17 skills for areas such as:
You can browse skills and install using the Android CLI commands:
android skills list
android skills add –skill=
For more information, check out the official documentation.
3. Android Bench adds new models
Earlier this year, we launched Android Bench – our leaderboard for testing LLMs on real-world Android development challenges and tasks, with the goal of accelerating model improvements, so you have more helpful options for AI assistance.
Latest results from Android Bench leaderboard
You asked us to evaluate open models. So, at I/O, we added more commonly used ones, including our local model Gemma 4, to the leaderboard. We also added the latest models including Gemini 3.5 Flash.
We are also working on increasing the difficulty of challenges we’re giving LLMs, including creating long running tasks, to continue encouraging improvements. These tasks will be coming soon to Android Bench. Check out the Android Bench leaderboard to see the latest results.
Android development anywhere
By expanding our AI-assisted Android development offerings to Antigravity, through Android CLI and Android skills, and solidifying with the pro capabilities and production grade polish of Android Studio, we’re supporting Android developers wherever they choose to build.
Have fun bringing your ideas to life faster and easier than ever before – we’re excited to see what you build in this new era of agentic development.
Check out the full Developer productivity at Google I/O 2026 YouTube playlist for more information.
