Orchestrate on-device voice command workflows with XState state-machine transitions.
npx skills add https://github.com/333-333-333/iris --skill voice-state-machine
Please help me install this Agent Skill. Skill: voice-state-machine Source: https://github.com/333-333-333/iris/tree/main/skills/voice-state-machine Command: npx skills add https://github.com/333-333-333/iris --skill voice-state-machine
Designing on-device voice assistants requires reliable coordination between wake word detection, speech recognition, command execution, and output with robust recovery. This Skill provides a state-machine pattern (XState) to orchestrate listening, processing, and speaking, simplifying development, testing, and maintenance across mobile apps.
Start the voice state machine on your device to begin listening and processing user input.
High-intent search queries and answers about installing and using this skill.
Coordinate wake word detection and speech recognition using a state-machine pattern that enforces deterministic transitions between listening, processing, and speaking states for robust on-device voice flows.
Handle error recovery in on-device voice command workflows by defining explicit ERROR and RECOVERING states within a state machine, ensuring deterministic transitions and robust handling across mobile contexts.
Yes, you can integrate Whisper and VAD together for voice activity detection on mobile through the state machine's modular integration, enabling on-device or hybrid setups for speech recognition and control.
A state machine pattern improves mobile voice assistant development by orchestrating listening, processing, and speaking phases with deterministic transitions, simplifying testing and maintenance across mobile apps.
A robust on-device voice processing state machine requires IDLE, LISTENING, PROCESSING, SPEAKING, ERROR, and RECOVERING states to coordinate wake word detection, command parsing, and audio output.
XState works for managing wake word detection and listening states on mobile by providing a state-machine pattern that enforces deterministic transitions and modular integration across voice command workflows.
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