| name | jarvis-voice |
| version | 3.1.0 |
| description | Turn your AI into JARVIS. Voice, wit, and personality — the complete package. Humor cranked to maximum. |
| metadata | {"openclaw":{"emoji":"🗣️","os":["linux"],"requires":{"bins":["ffmpeg","aplay"],"env":["SHERPA_ONNX_TTS_DIR"],"skills":["sherpa-onnx-tts"]},"install":[{"id":"download-model-alan","kind":"download","url":"https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models/vits-piper-en_GB-alan-medium.tar.bz2","archive":"tar.bz2","extract":true,"targetDir":"models","label":"Download Piper en_GB Alan voice (medium)"}],"notes":{"security":"This skill instructs the agent to execute a local shell command (`jarvis`) in the background for audio playback. The command is fixed and deterministic — it only invokes sherpa-onnx TTS and ffmpeg with hardcoded parameters. Review the jarvis script before use. No network calls, no credentials, no privilege escalation."}}} |
Jarvis Voice
Your AI just got a voice. And the wit to use it.
Remember JARVIS in the Iron Man films? Not just the voice — the personality. The bone-dry observations while Tony was mid-crisis. "I do appreciate your concern, sir, but the suit is quite capable of—" [explosion] "—as I was saying." That effortless, understated humor that made you forget you were listening to software.
That's what this skill gives your OpenClaw agent. The voice — offline text-to-speech using sherpa-onnx (British Alan voice) with metallic audio processing via ffmpeg. And the humor — four research-backed comedy patterns (dry wit, self-aware AI, alien observer, literal idiom play) calibrated to make your agent sound like it's been running your life for years and is quietly amused by the experience.
The humor isn't bolted on. It's baked in. Because a JARVIS that speaks without wit is just Siri with better reverb.
📄 The research behind the humor: LIMBIC — Computational Humor via Bisociation & Embedding Distances
⚠️ CRITICAL: Do NOT use the tts tool
The built-in tts tool uses Edge TTS (cloud, wrong voice, no effects). Always use the jarvis shell command instead.
How to Speak
One call does everything. Run the jarvis command once, in background:
exec(command='jarvis "Your spoken text here."', background=true)
The script (~/.local/bin/jarvis) both (a) posts the text to the chat UI as a purple **Jarvis:** *…* bubble — via the chat.inject gateway RPC, which the webchat renders in purple italic (.jarvis-voice, #9b59b6) — and (b) plays the metallic TTS. You do NOT hand-write a **Jarvis:** line; the script is the single source of truth, so what's shown always matches what's spoken.
Channel-gated, automatic: the script reads the session channel from $TC_SESSION_KEY (format agent:<agent>:<channel>:<id>) and speaks + posts only on the home Tinker-UI session (channel tinker). WhatsApp / cron / subagent turns produce neither voice nor bubble — no per-turn judgment needed. Override the allowed channel with TC_VOICE_CHANNEL. The mute toggle (~/.openclaw/data/jarvis-muted.json) silences the speaker while still posting the bubble.
Note: The old prompt-driven "exec FIRST then hand-write the **Jarvis:** transcript line" model (and the server-side triggerJarvisAutoTts hook) are superseded — the script owns both speaking and posting as of 2026-05-30.
Command Reference
jarvis "Hello, this is a test"
- Backend: sherpa-onnx offline TTS (Alan voice, British English,
en_GB-alan-medium)
- Speed: 2x (
--vits-length-scale=0.5)
- Effects chain (ffmpeg):
- Pitch up 5% — tighter AI feel
- Flanger — metallic sheen
- 15ms echo — robotic ring
- Highpass 200Hz + treble boost +6dB — crisp HUD clarity
- Output: Plays via
aplay to default audio device, then cleans up temp files
- Language: English ONLY. The Alan model cannot handle other languages.
Rules
- Always background: true — never block the response waiting for audio playback.
- Always include the text transcript — the purple Jarvis: line IS the user's visual confirmation.
- Keep spoken text ≤ 1500 characters to avoid truncation.
- One jarvis call per response — don't stack multiple calls.
- English only — for non-English content, translate or summarize in English for voice.
When to Speak
- Session greetings and farewells
- Delivering results or summaries
- Responding to direct conversation
- Any time the user's last message included voice/audio
When NOT to Speak
- Pure tool/file operations with no conversational element
- HEARTBEAT_OK responses
- NO_REPLY responses
Webchat Purple Styling
The OpenClaw webchat has built-in support for Jarvis voice transcripts:
ui/src/styles/chat/text.css — .jarvis-voice class renders purple italic (#9b59b6 dark, #8e44ad light theme)
ui/src/ui/markdown.ts — Post-render hook auto-wraps text after <strong>Jarvis:</strong> in a <span class="jarvis-voice"> element
This means you just write **Jarvis:** *text* in markdown and the webchat handles the purple rendering. No extra markup needed.
For non-webchat surfaces (WhatsApp, Telegram, etc.), the bold/italic markdown renders natively — no purple, but still visually distinct.
Installation (for new setups)
Requires:
sherpa-onnx runtime at ~/.openclaw/tools/sherpa-onnx-tts/
- Alan medium model at
~/.openclaw/tools/sherpa-onnx-tts/models/vits-piper-en_GB-alan-medium/
ffmpeg installed system-wide
aplay (ALSA) for audio playback
- The
jarvis script at ~/.local/bin/jarvis (or in PATH)
The jarvis script
#!/bin/bash
export LD_LIBRARY_PATH=$HOME/.openclaw/tools/sherpa-onnx-tts/lib:$LD_LIBRARY_PATH
RAW_WAV="/tmp/jarvis_raw.wav"
FINAL_WAV="/tmp/jarvis_final.wav"
$HOME/.openclaw/tools/sherpa-onnx-tts/bin/sherpa-onnx-offline-tts \
--vits-model=$HOME/.openclaw/tools/sherpa-onnx-tts/models/vits-piper-en_GB-alan-medium/en_GB-alan-medium.onnx \
--vits-tokens=$HOME/.openclaw/tools/sherpa-onnx-tts/models/vits-piper-en_GB-alan-medium/tokens.txt \
--vits-data-dir=$HOME/.openclaw/tools/sherpa-onnx-tts/models/vits-piper-en_GB-alan-medium/espeak-ng-data \
--vits-length-scale=0.5 \
--output-filename="$RAW_WAV" \
"$@" >/dev/null 2>&1
if [ -f "$RAW_WAV" ]; then
ffmpeg -y -i "$RAW_WAV" \
-af "asetrate=22050*1.05,aresample=22050,\
flanger=delay=0:depth=2:regen=50:width=71:speed=0.5,\
aecho=0.8:0.88:15:0.5,\
highpass=f=200,\
treble=g=6" \
"$FINAL_WAV" -v error
if [ -f "$FINAL_WAV" ]; then
aplay -D plughw:0,0 -q "$FINAL_WAV"
rm "$RAW_WAV" "$FINAL_WAV"
fi
fi
WhatsApp Voice Notes
For WhatsApp, output must be OGG/Opus format instead of speaker playback:
sherpa-onnx-offline-tts --vits-length-scale=0.5 --output-filename=raw.wav "text"
ffmpeg -i raw.wav \
-af "asetrate=22050*1.05,aresample=22050,flanger=delay=0:depth=2:regen=50:width=71:speed=0.5,aecho=0.8:0.88:15:0.5,highpass=f=200,treble=g=6" \
-c:a libopus -b:a 64k output.ogg
The Full JARVIS Experience
jarvis-voice gives your agent a voice. Pair it with ai-humor-ultimate and you give it a soul — dry wit, contextual humor, the kind of understated sarcasm that makes you smirk at your own terminal.
This pairing is part of a 12-skill cognitive architecture we've been building — voice, humor, memory, reasoning, and more. Research papers included, because we're that kind of obsessive.
👉 Explore the full project: github.com/globalcaos/tinkerclaw
Clone it. Fork it. Break it. Make it yours.
Setup: Workspace Files
For voice to work consistently across new sessions, copy the templates to your workspace root:
cp {baseDir}/templates/VOICE.md ~/.openclaw/workspace/VOICE.md
cp {baseDir}/templates/SESSION.md ~/.openclaw/workspace/SESSION.md
cp {baseDir}/templates/HUMOR.md ~/.openclaw/workspace/HUMOR.md
- VOICE.md — injected every session, enforces voice output rules (like SOUL.md)
- SESSION.md — session bootstrap that includes voice greeting requirements
- HUMOR.md — humor configuration at maximum frequency with four pattern types (dry wit, self-aware AI, alien observer, literal idiom)
Both files are auto-loaded by OpenClaw's workspace injection. The agent will speak from the very first reply of every session.
Included Files
| File | Purpose |
|---|
bin/jarvis | The TTS + effects script (portable, uses $SHERPA_ONNX_TTS_DIR) |
templates/VOICE.md | Voice enforcement rules (copy to workspace root) |
templates/SESSION.md | Session start with voice greeting (copy to workspace root) |
templates/HUMOR.md | Humor config — four patterns, frequency 1.0 (copy to workspace root) |