What are the six modules in the EarLLM One project and what does each do?

The six modules are: `core-logging` for structured logging and performance tracking; `bluetooth` for Bluetooth discovery, pairing, and A2DP/HFP profiles; `audio` for SCO/BLE audio routing and headset button capture; `voice` for speech-to-text, text-to-speech, and the voice pipeline; `llm` for the LLM client interface with stub and OpenAI-compatible implementations; and `app` for the UI, ViewModel, foreground service, and Compose screens.

What is the correct sequence for recording and playback on the earbuds?

Stop playback, switch to HFP (hands-free profile), record via SCO, switch back to A2DP, then play the response. Playback and recording must never run simultaneously.

What are the key Bluetooth audio limitations I need to know?

Bluetooth SCO is capped at 8kHz mono (16kHz mSBC on some devices), while BLE Audio supports up to 32kHz stereo and should be preferred when available. Samsung One UI 7/8 has a known HFP corruption bug where A2DP playback corrupts the SCO link, handled via silence detection and fallback to the phone mic.

What permissions and setup are required for Android 14+?

Android 14+ requires the `FOREGROUND_SERVICE_MICROPHONE` permission and `foregroundServiceType="microphone"` in the manifest, with `RECORD_AUDIO` granted before calling `startForeground()`.

How does the voice data flow from a headset button tap to audio output?

Headset button tap triggers `HeadsetButtonController` to `MediaSession`, which sends `TapAction.RECORD_TOGGLE` to `VoicePipeline.toggleRecording()`, then `VoiceCaptureController` captures 16kHz mono PCM, `SpeechToTextController` transcribes it, `LlmClient` processes it, `TextToSpeechController` speaks the response, and audio outputs via A2DP.

Skill

Build and Maintain Earbud-to-LLM Android App

Name: EarLLM One - Build & Maintain
Availability: OnlineOnly
Author: Antigravity

Skill for building and maintaining EarLLM One, a Kotlin/Compose Android app that connects Bluetooth earbuds to an LLM via voice pipeline.

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Updated 4 days ago

Source checked Sep 19, 2026

Version 17.5.0

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Why it matters

Develop and maintain EarLLM One, an Android application that connects Bluetooth earbuds to an LLM through a voice pipeline, enabling voice-based interaction with AI models.

Outcomes

What it gets done

Develop multi-module Android app using Kotlin and Jetpack Compose.

Implement Bluetooth connectivity for earbud audio input and output.

Integrate Speech-to-Text and Text-to-Speech for voice processing.

Connect to LLM APIs for AI-powered responses.

Manage audio routing and Bluetooth SCO/BLE profiles.

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curl -fsSL https://spark.entire.vc/get/ag-earllm-build | bash

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Overview

EarLLM One - Build & Maintain

This skill provides development expertise for the EarLLM One Android project, a Kotlin and Jetpack Compose application. It enables building and maintaining an app that connects Bluetooth earbuds directly to a large language model through a voice processing pipeline, creating hands-free conversational AI experiences on Android devices. Use this skill when you need to develop, maintain, or extend the EarLLM One codebase, or when building similar Android applications that integrate Bluetooth audio devices with LLM voice interfaces using Kotlin and Compose.

What it does

This skill provides expertise for building, maintaining, and extending the EarLLM One Android project. EarLLM One is a Kotlin/Compose application that enables Bluetooth earbuds to connect directly to a large language model through a voice pipeline, creating a hands-free conversational AI experience on Android devices.

When to use - and when NOT to

Use this skill when you need to develop or modify an Android application that integrates Bluetooth audio devices with LLM voice interfaces, when you're working with Kotlin and Jetpack Compose for voice-enabled AI applications, or when you need to maintain and extend the EarLLM One codebase specifically.

Do not use this skill if you're building iOS applications or cross-platform solutions outside the Android ecosystem. This is also not appropriate if you need a pre-built solution rather than development expertise for building and maintaining the application.

Inputs and outputs

You provide requirements for building, maintaining, or extending the EarLLM One Android project, including feature specifications, bug reports, or architectural decisions related to the Bluetooth-to-LLM voice pipeline.

You receive guidance and implementation support for working with the Kotlin/Compose codebase, including code patterns, architectural recommendations, and solutions for integrating Bluetooth earbuds with LLM voice processing.

Who it's for

This skill is designed for Android developers working with Kotlin and Jetpack Compose who need to build or maintain voice-enabled AI applications. It's particularly valuable for teams developing hands-free conversational interfaces that leverage Bluetooth audio devices and LLM capabilities on the Android platform.

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Build, maintain, and extend the EarLLM One Android project - a Kotlin/Compose app that connects Bluetooth earbuds to an LLM via voice pipeline.

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