Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Jarvis Voice
Turn your AI into JARVIS. Voice, wit, and personality — the complete package. Humor cranked to maximum.
skill openclawclawhub Free
Turn your AI into JARVIS. Voice, wit, and personality — the complete package. Humor cranked to maximum.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Known item issue.
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Quick setup
- Open the source page and confirm the package flow manually.
- Review SKILL.md if you can obtain the files.
- Treat this source as manual setup until the download is verified.
Package facts
- Download mode
- Manual review
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, _meta.json, templates/HUMOR.md, templates/SESSION.md, templates/VOICE.md
Validation
- Open the source listing and confirm there is a real package or setup artifact available.
- Review SKILL.md before asking your agent to continue.
- Treat this source as manual setup until the upstream download flow is fixed.
Install with your agent
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 2.2.1
Provenance
- Publisher
- globalcaos
- Source page
- View original listing
- Canonical URL
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Documentation
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
Every response that warrants voice output must include BOTH: Audio execution FIRST — run the jarvis command in background BEFORE writing the reply: exec(command='jarvis "Your spoken text here."', background=true) This fires immediately — the user hears the voice BEFORE the text appears on screen. Visible transcript — bold Jarvis: prefix followed by the spoken text: **Jarvis:** *Your spoken text here.* The webchat UI has custom CSS + JS that automatically detects **Jarvis:** and renders the following text in purple italic (.jarvis-voice class, color #9b59b6). You just write the markdown — the styling is automatic. This is called hybrid output: the user hears the voice first, then sees the transcript. Note: The server-side triggerJarvisAutoTts hook is DISABLED (no-op). It fired too late (after text render). Voice comes exclusively from the exec call.
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 # Jarvis TTS - authentic JARVIS-style voice # Usage: jarvis "Hello, this is a test" 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" # Generate speech $HOME/.openclaw/tools/sherpa-onnx-tts/bin/sherpa-onnx-offline-tts \ --vits-model=$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 # Apply JARVIS metallic processing 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
FilePurposebin/jarvisThe TTS + effects script (portable, uses $SHERPA_ONNX_TTS_DIR)templates/VOICE.mdVoice enforcement rules (copy to workspace root)templates/SESSION.mdSession start with voice greeting (copy to workspace root)templates/HUMOR.mdHumor config — four patterns, frequency 1.0 (copy to workspace root)
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs1 Config
- SKILL.md
- templates/HUMOR.md
- templates/SESSION.md
- templates/VOICE.md
- _meta.json