π―Skills34
An official Android agent skill providing AI-optimized instructions for Navigation 3 implementation, following best practices and guidance from developer.android.com.
An official Android agent skill providing AI-optimized instructions for R8 analysis tasks, following best practices and guidance from developer.android.com for Android development workflows.
An Android development skill from the official Android team that provides AI-optimised, modular instructions grounding LLMs in best practices and guidance from developer.android.com for executing specific Android development patterns.
An official Android agent skill providing AI-optimized instructions for migrating XML Views to Jetpack Compose, following best practices and guidance from developer.android.com.
Android development skill providing AI-optimized, modular instructions that follow best practices and guidance from developer.android.com for CLI-based Android development workflows.
An official Android skill that provides AI-optimized instructions for upgrading the Play Billing Library version, following best practices and guidance from developer.android.com.
Part of the official Android Skills repository, providing AI-optimized modular instructions that ground LLMs with Android development best practices and guidance from developer.android.com.
AI-optimized Android development skills that provide modular instructions following best practices from developer.android.com, focusing on use cases where LLMs underperform such as testing setup and specialized workflows.
An AI-optimized Android skill that grounds LLMs with best-practice guidance for Android styling patterns, targeting areas where AI agents have been shown to underperform.
Official Android skills repository providing AI-optimized, modular instructions that ground LLMs with best practices and guidance from developer.android.com, focusing on use cases where LLMs typically underperform, installable via the Android CLI for Gemini, Claude Code, and other agents.
Official Android AI agent skills from Google that provide modular, AI-optimized instructions grounded in developer.android.com best practices. Focused on use cases where LLMs underperform, these skills can be installed via the Android CLI for agents like Gemini, Claude Code, and Cursor.
Part of Google's official Android skills repository, providing AI-optimized modular instructions for Android development patterns that follow best practices from developer.android.com.
An Android skill for Engage SDK integration, part of a collection of AI-optimized modular instructions that help LLMs follow best practices from developer.android.com, focusing on use cases where evaluations show LLMs underperform.
An AI-optimized Android skill from Google's official Android Skills repository that grounds LLMs with specialized instructions for Android development patterns focused on areas where AI models typically underperform.
The official Android agent skills repository from the Android team, providing AI-optimized, modular SKILL.md instructions grounded in Android development best practices from developer.android.com. Skills target use cases where evaluations show LLMs underperform, such as specialized Android workflows not covered well by general training.
An Android agent skill that provides AI-optimized instructions for migrating from Camera1 API to CameraX, following best practices and guidance from developer.android.com for patterns where LLMs typically underperform.
An official Android skill that provides AI-optimized instructions for Jetpack Compose development, grounding LLMs with best practices from developer.android.com in areas where evaluations show they tend to underperform. It is part of Android's modular agent skills collection focused on improving LLM accuracy for specialized Android development workflows.
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An official Android agent skill focused on building AI glasses displays with Jetpack Compose Glimmer. Part of the Android skills repository that provides AI-optimized, modular instructions grounded in developer.android.com best practices, targeting use cases where LLMs typically underperform.
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