How do I install the Voice skill?

Run npx skillmds@latest add iii-hq/voice in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Voice safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Voice?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Voice free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

iii-hq (@iii-hq) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Voice by iii-hq — Agent Skill

Name: Voice
Author: iii-hq

File contents

voice

Local speech-to-text and read-aloud on the iii bus. Nothing leaves the machine by default: a small streaming recognizer produces live text and a large second-pass model re-decodes each finished utterance with punctuation and casing, both with models the worker downloads once. An OpenAI-compatible audio endpoint, or any speech provider registered with llm-router (stt.backend / tts.backend set to router), can replace either half through configuration.

When to Use

A user attached or named a WAV recording and wants its text: voice::transcribe.
A surface streams microphone audio and wants live text: voice::dictation::*.
A reply should be spoken: voice::speak.

Boundaries

Audio in is 16 kHz mono 16-bit PCM for dictation; WAV files of any rate for voice::transcribe. No other container is decoded.
The bundled model is English. Other languages need the openai backend.
voice::speak on the host backend plays on the machine running the worker, not in the caller's browser; the openai backend returns audio for the caller to play.
Dictation sessions idle past session_idle_secs are closed by the worker.

Functions

voice::transcribe — a WAV file (path or base64) to text with timestamped segments.
voice::dictation::start — open a session; transcript events go to output_function_id.
voice::dictation::push — feed one base64 PCM chunk (rising seq).
voice::dictation::stop — close a session and return its transcript (discard to drop it).
voice::dictation::list — open sessions.
voice::speak — read text aloud; returns a speech_id.
voice::speak::stop — stop host playback.
voice::models::list — local models, whether each is installed, and each one's license, author and source (Parakeet TDT 0.6B v2 is CC BY 4.0: keep the attribution if you copy its files elsewhere).
voice::models::download — install a local model, checksum-verified.
voice::models::remove — delete a downloaded model.
voice::doctor — backends, model state, open sessions.

Reactive triggers

voice::transcript — partial, final, closed and error events of dictation sessions (filter session_id).
voice::session-started, voice::session-stopped — session lifecycle.
voice::model-progress — download progress, one event per megabyte and a final done.

---name: voicedescription: Speech in and out for iii — transcribe audio files to timestamped text, run live dictation sessions fed with microphone audio, and read text aloud.---# voiceLocal speech-to-text and read-aloud on the iii bus. Nothing leaves the machine by default: a small streaming recognizer produces live text and a large second-pass model re-decodes each finished utterance with punctuation and casing, both with models the worker downloads once. An OpenAI-compatible audio endpoint, or any speech provider registered with llm-router (`stt.backend` / `tts.backend` set to `router`), can replace either half through configuration.## When to Use- A user attached or named a WAV recording and wants its text: `voice::transcribe`.- A surface streams microphone audio and wants live text: `voice::dictation::*`.- A reply should be spoken: `voice::speak`.## Boundaries- Audio in is 16 kHz mono 16-bit PCM for dictation; WAV files of any rate for `voice::transcribe`. No other container is decoded.- The bundled model is English. Other languages need the `openai` backend.- `voice::speak` on the host backend plays on the machine running the worker, not in the caller's browser; the `openai` backend returns audio for the caller to play.- Dictation sessions idle past `session_idle_secs` are closed by the worker.## Functions- `voice::transcribe` — a WAV file (path or base64) to text with timestamped segments.- `voice::dictation::start` — open a session; transcript events go to `output_function_id`.- `voice::dictation::push` — feed one base64 PCM chunk (rising `seq`).- `voice::dictation::stop` — close a session and return its transcript (`discard` to drop it).- `voice::dictation::list` — open sessions.- `voice::speak` — read text aloud; returns a `speech_id`.- `voice::speak::stop` — stop host playback.- `voice::models::list` — local models, whether each is installed, and each one's license, author and source (Parakeet TDT 0.6B v2 is CC BY 4.0: keep the attribution if you copy its files elsewhere).- `voice::models::download` — install a local model, checksum-verified.- `voice::models::remove` — delete a downloaded model.- `voice::doctor` — backends, model state, open sessions.## Reactive triggers- `voice::transcript` — partial, final, closed and error events of dictation sessions (filter `session_id`).- `voice::session-started`, `voice::session-stopped` — session lifecycle.- `voice::model-progress` — download progress, one event per megabyte and a final `done`.

Frequently asked questions

Voice