appfunctions

Analyze Android codebases to generate Kotlin AppFunction implementations.

Updated May 5, 2023
One-click install
npx skills add https://github.com/uyelikanil/AwesomeSunsetWallpapers --skill appfunctions-uyelikanil
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: appfunctions
Source: https://github.com/uyelikanil/AwesomeSunsetWallpapers/tree/main/.agents/skills/appfunctions
Command: npx skills add https://github.com/uyelikanil/AwesomeSunsetWallpapers --skill appfunctions-uyelikanil

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill bridges the gap between mobile app functionality and AI agents, allowing users to trigger complex in-app actions via voice or text without navigating the UI.

Core Features & Use Cases

  • Workflow Discovery: Automatically identifies high-value user journeys in Android codebases suitable for agentic control.
  • Implementation & Optimization: Generates the necessary Kotlin code and KDoc to expose app features to the Android system and AI models.
  • Testing & Debugging: Provides a suite of ADB commands to verify, list, and execute AppFunctions locally.

Quick Start

Use the appfunctions skill to analyze the current project and generate the necessary Kotlin implementations for the identified user workflows.

Frequently Asked Questions about appfunctions

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I expose Android app workflows to AI agents for execution?

AppFunctions requires KSP configuration and adherence to Android AppFunction API standards in your Kotlin codebase. You need an Android project environment capable of supporting KSP processing to successfully deploy agentic control interfaces.

How do I test and execute AppFunctions locally on an Android device?

You test and execute AppFunctions locally using ADB commands. This Skill provides a suite of ADB commands to verify, list, and execute the generated Kotlin implementations directly on your device for debugging and validation.

What is the best way to automatically identify in-app actions suitable for AI control?

Automatically identifying in-app actions suitable for AI control involves workflow discovery. This Skill analyzes your Android codebase to pinpoint high-value user journeys, generating the necessary Kotlin code and KDoc to expose those features to AI models.

What types of Android system workflows can be integrated into AI-driven interfaces?

System-level workflows such as media playback, messaging, and data management can be integrated into AI-driven interfaces. The Skill generates Kotlin implementations to expose these specific Android AppFunction workflows to AI agents.