What is the primary purpose of the earllm-build skill?

It provides deep technical guidance for building and maintaining the EarLLM One Android app, focusing specifically on connecting Bluetooth earbuds to LLMs via a voice pipeline.

Does this skill handle Bluetooth SCO and BLE Audio differences?

Yes, it includes specific logic for managing SCO's 8kHz limitations and implementing the modern AudioManager.setCommunicationDevice API for BLE Audio on Android 12+.

Can I use this for other LLM-integrated Android apps?

While optimized for the EarLLM One repository, the patterns for audio routing, permissions, and STT/TTS integration are highly applicable to any Android voice AI project.

How does it handle hardware-specific bugs?

The skill contains verified technical facts regarding Samsung One UI HFP corruption and provides specific mitigation strategies like silence detection and mic fallbacks.

EarLLM Android Developer

Name: EarLLM Android Developer
Author: sickn33

bysickn33

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31,721

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Mobile Development

Builds and maintains the EarLLM One Android app, managing Bluetooth audio pipelines and LLM voice integration.

This skill provides specialized domain expertise for the EarLLM One project, a multi-module Android application built with Kotlin and Jetpack Compose. It guides developers through complex tasks including Bluetooth profile management (A2DP, HFP, BLE Audio), low-latency voice capture, STT/TTS pipeline orchestration, and OpenAI-compatible LLM integration. It features built-in technical guardrails for Android-specific challenges such as SCO limitations, Samsung-specific hardware bugs, and mandatory foreground service permissions for microphone access.

Key Features

01Hardware-specific troubleshooting for Samsung and Redmi devices

02Bluetooth audio routing management for SCO, A2DP, and BLE Audio

03Multi-module Kotlin and Jetpack Compose architecture guidance

04End-to-end voice pipeline orchestration (Capture > STT > LLM > TTS)

0531,721 GitHub stars

06Automated build artifact generation and testing workflows

Use Cases

01Implementing real-time voice conversations between Bluetooth earbuds and an LLM.

02Troubleshooting audio latency, echo, or feedback issues in the Android voice pipeline.

03Extending the app with offline STT engines or custom wake-word detection.

Key Features

01Hardware-specific troubleshooting for Samsung and Redmi devices

02Bluetooth audio routing management for SCO, A2DP, and BLE Audio

03Multi-module Kotlin and Jetpack Compose architecture guidance

04End-to-end voice pipeline orchestration (Capture > STT > LLM > TTS)

0531,721 GitHub stars

06Automated build artifact generation and testing workflows

Use Cases

01Implementing real-time voice conversations between Bluetooth earbuds and an LLM.

02Troubleshooting audio latency, echo, or feedback issues in the Android voice pipeline.

03Extending the app with offline STT engines or custom wake-word detection.