appfunctions

Analyze Android apps to expose workflows as AI-accessible AppFunctions.

Updated Apr 5, 2026
One-click install
npx skills add https://github.com/inehemiasm/AiAssistant --skill appfunctions-inehemiasm
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: appfunctions
Source: https://github.com/inehemiasm/AiAssistant/tree/main/skills/appfunctions
Command: npx skills add https://github.com/inehemiasm/AiAssistant --skill appfunctions-inehemiasm

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps Android developers make important app workflows discoverable and executable by AI agents, reducing the need for users to navigate through app interfaces manually.

Core Features & Use Cases

  • AppFunction Discovery: Analyze Android applications to identify valuable user workflows that can be exposed as agent-accessible functions.
  • Kotlin Implementation Guidance: Generate AppFunctions-compatible Kotlin code, dependency configuration, and system metadata setup.
  • Agent Documentation Optimization: Improve KDoc and function descriptions so AI agents can correctly understand workflows, parameters, and constraints.
  • Use Case: Enable a task app to expose creating, searching, or updating tasks through voice commands, AI assistants, or system shortcuts.

Quick Start

Use the appfunctions skill to analyze my Android app and identify workflows that should be exposed as AI agent tools.

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?

To expose Android app workflows to AI agents, you implement AppFunctions-compatible Kotlin code and configure system metadata. This allows AI assistants to discover and execute app workflows, reducing manual UI interaction for users.

What are AppFunctions in Android development?

AppFunctions in Android development are APIs that identify and expose valuable app workflows as AI-accessible functions. They enable AI agents to execute tasks like creating or searching items without requiring users to navigate the app interface manually.

How do I optimize KDoc for AI agent function discovery?

To optimize KDoc for AI agent function discovery, you improve function descriptions so AI agents can correctly understand workflows, parameters, and constraints. This ensures AI assistants accurately interpret and execute the exposed Android app functions.

Do I need KSP configuration to implement AppFunctions in Kotlin?

Yes, you need KSP configuration to implement AppFunctions in Kotlin. Setting up AppFunctions requires Android AppFunctions APIs, Jetpack libraries, and KSP configuration to properly generate the necessary system metadata for AI agent accessibility.

Can I use ADB to test AI agent functions on Android?

Yes, you can use ADB to test AI agent functions on Android. ADB-based testing is part of the AppFunction discovery and implementation workflow, allowing you to verify that exposed Kotlin workflows are correctly accessible to AI agents.

What is the best way to make Android tasks executable by voice commands?

The best way to make Android tasks executable by voice commands is to expose them as AppFunctions using Kotlin. This allows AI assistants, voice commands, and system shortcuts to directly trigger workflows like creating, searching, or updating tasks.