What problem does it solve? Android apps cannot expose their core workflows to system AI agents without significant boilerplate, correct KSP configuration, and agent-readable documentation. This Skill guides the full AppFunctions lifecycle so features like creating notes or sending messages become discoverable and executable by on-device agents without opening the app UI. ## Core Features & Use Cases - Feature Discovery: Analyzes AndroidManifest.xml, Activities, and Services to recommend high-value AppFunctions with rationale focused on mutations and rich queries. - Kotlin Implementation & Configuration: Generates @AppFunction and @AppFunctionSerializable code with correct KSP setup, app_metadata.xml, and optional Hilt-based dependency injection. - KDoc Refinement & ADB Testing: Optimizes documentation for LLM consumption and provides adb shell cmd app_function commands to list, execute, and enable functions on a device. - Use Case: A notes app developer asks to expose note creation to Gemini; the Skill discovers the workflow, generates the Kotlin functions with proper KDoc, and verifies registration via ADB. ## Quick Start Analyze my Android app and implement AppFunctions so system AI agents can create notes without opening the app UI.