jarvis-voice

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

Turn your AI into JARVIS. Voice, wit, and personality — the complete package. Humor cranked to maximum.

一句话选型结论

按资料字段整理

jarvis-voice是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
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权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_15292d5a/yjkj-jarvis-voice
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_15292d5a仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791673998
正文体量9.6 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
jarvis-voice当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

9.6 KB
模型实际读到的说明书原文,来自技能仓库

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

<tool_choice>
The built-in tts tool uses Edge TTS — cloud-based, wrong voice, no metallic effects. The jarvis shell command is the right tool here; tts produces a generic Microsoft voice that breaks the JARVIS illusion.
</tool_choice>

<how_to_speak>
One call does everything. Run the jarvis command once with what you want said:

exec(command=&#x27;jarvis &quot;Your spoken text here.&quot;&#x27;, 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, 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 (the old fragile prompt-driven duplication is gone, fixed 2026-05-30).

Channel-gated, automatic: it speaks + posts only on the home Tinker-UI session — it reads the channel from $TC_SESSION_KEY (format agent:&lt;agent&gt;:&lt;channel&gt;:&lt;id&gt;) and acts only when the channel is tinker. WhatsApp / cron / subagent turns produce neither voice nor bubble, with no per-turn judgment from you. The mute toggle (~/.openclaw/data/jarvis-muted.json) silences the speaker while still posting the bubble. Override the allowed channel with TC_VOICE_CHANNEL.
</how_to_speak>

Command Reference

jarvis &quot;Hello, this is a test&quot;
  • 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>
1. Use background: true on the exec call — blocking the reply on audio playback delays the visual response and feels broken.
2. Do NOT hand-write a **Jarvis:** transcript line — the script posts the bubble itself via chat.inject. Writing one too would double it.
3. Keep spoken text ≤ 1500 characters; sherpa-onnx truncates above that.
4. One jarvis call per response — stacked calls fight over the audio device and produce overlapping playback.
5. English only — the Alan voice model can't pronounce other languages cleanly, so translate or summarise in English for the spoken portion.
</rules>

<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_to_speak>

<when_to_skip>
- Pure tool/file operations with no conversational element
- HEARTBEAT_OK responses
- NO_REPLY responses
</when_to_skip>

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 &lt;strong&gt;Jarvis:&lt;/strong&gt; in a &lt;span class=&quot;jarvis-voice&quot;&gt; 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 &quot;Hello, this is a test&quot;

export LD_LIBRARY_PATH=$HOME/.openclaw/tools/sherpa-onnx-tts/lib:$LD_LIBRARY_PATH

RAW_WAV=&quot;/tmp/jarvis_raw.wav&quot;
FINAL_WAV=&quot;/tmp/jarvis_final.wav&quot;

# 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=&quot;$RAW_WAV&quot; \
  &quot;$@&quot; &gt;/dev/null 2&gt;&amp;1

# Apply JARVIS metallic processing
if [ -f &quot;$RAW_WAV&quot; ]; then
  ffmpeg -y -i &quot;$RAW_WAV&quot; \
    -af &quot;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&quot; \
    &quot;$FINAL_WAV&quot; -v error

  if [ -f &quot;$FINAL_WAV&quot; ]; then
    aplay -D plughw:0,0 -q &quot;$FINAL_WAV&quot;
    rm &quot;$RAW_WAV&quot; &quot;$FINAL_WAV&quot;
  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 &quot;text&quot;
ffmpeg -i raw.wav \
  -af &quot;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&quot; \
  -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)

常见问题

5 问
答案由本站依据条目字段整理
jarvis-voice怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_15292d5a/yjkj-jarvis-voice。安装方式为未标注。装完刷新技能列表或重开客户端。

jarvis-voice支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

jarvis-voice权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

jarvis-voice收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

jarvis-voice用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。