Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub ยท Communication & Collaboration
Elevenlabs Tts
ElevenLabs TTS (Text-to-Speech) with emotional audio tags for expressive voice synthesis. WhatsApp-compatible voice messages with Opus conversion. Supports 7...
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ElevenLabs TTS (Text-to-Speech) with emotional audio tags for expressive voice synthesis. WhatsApp-compatible voice messages with Opus conversion. Supports 7...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
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Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, references/audio-tags.md
Validation
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Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 2.2.0
Provenance
- Publisher
- Shaharsha
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Documentation
ElevenLabs TTS (Text-to-Speech)
Generate expressive voice messages using ElevenLabs v3 with audio tags.
Prerequisites
ElevenLabs API Key (ELEVENLABS_API_KEY): Required. Get one at elevenlabs.io โ Profile โ API Keys. Configure in openclaw.json under messages.tts.elevenlabs.apiKey. ffmpeg: Required for audio format conversion (MP3 โ Opus for WhatsApp compatibility). Must be installed and available on PATH.
Quick Start Examples
Storytelling (emotional journey): [soft] It started like any other day... [pause] But something felt different. [nervous] My hands were shaking as I opened the envelope. [gasps] I got in! [excited] I actually got in! [laughs] [happy] This changes everything! Horror/Suspense (building dread): [whispers] The house has been empty for years... [pause] At least, that's what they told me. [nervous] But I keep hearing footsteps. [scared] They're getting closer. [gasps] [panicking] The doorโ it's opening by itself! Conversation with reactions: [curious] So what happened at the meeting? [pause] [surprised] Wait, they fired him?! [gasps] [sad] That's terrible... [sighs] He had a family. [thoughtful] I wonder what he'll do now. Hebrew (romantic moment): [soft] ืืื ืขืืื ืฉื, ืืื ืืฉืงืืขื... [pause] ืืื ืฉืื ืคืขื ืื ืื ืืืง. [nervous] ืื ืืืขืชื ืื ืืืืื. [hesitates] ืื ื... [breathes] [tender] ืืช ืืืืขืช ืฉืื ื ืืืื ืืืชื, ื ืืื? Spanish (celebration to reflection): [excited] ยกLo logramos! [laughs] [happy] No puedo creerlo... [pause] [thoughtful] Fueron tantos aรฑos de trabajo. [emotional] [soft] Gracias a todos los que creyeron en mรญ. [sighs] [content] Valiรณ la pena cada momento.
Configuration (OpenClaw)
In openclaw.json, configure TTS under messages.tts: { "messages": { "tts": { "provider": "elevenlabs", "elevenlabs": { "apiKey": "sk_your_api_key_here", "voiceId": "pNInz6obpgDQGcFmaJgB", "modelId": "eleven_v3", "languageCode": "en", "voiceSettings": { "stability": 0.5, "similarityBoost": 0.75, "style": 0, "useSpeakerBoost": true, "speed": 1 } } } } } Getting your API Key: Go to https://elevenlabs.io Sign up/login Click profile โ API Keys Copy your key
Recommended Voices for v3
These premade voices are optimized for v3 and work well with audio tags: VoiceIDGenderAccentBest ForAdampNInz6obpgDQGcFmaJgBMaleAmericanDeep narration, general useRachel21m00Tcm4TlvDq8ikWAMFemaleAmericanCalm narration, conversationalBriannPczCjzI2devNBz1zQrbMaleAmericanDeep narration, podcastsCharlotteXB0fDUnXU5powFXDhCwaFemaleEnglish-SwedishExpressive, video gamesGeorgeJBFqnCBsd6RMkjVDRZzbMaleBritishRaspy narration, storytelling Finding more voices: Browse: https://elevenlabs.io/voice-library v3-optimized collection: https://elevenlabs.io/app/voice-library/collections/aF6JALq9R6tXwCczjhKH API: GET https://api.elevenlabs.io/v1/voices Voice selection tips: Use IVC (Instant Voice Clone) or premade voices - PVC not optimized for v3 yet Match voice character to your use case (whispering voice won't shout well) For expressive IVCs, include varied emotional tones in training samples
Model Settings
Model: eleven_v3 (alpha) - ONLY model supporting audio tags Languages: 70+ supported with full audio tag control
Stability Modes
ModeStabilityDescriptionCreative0.3-0.5More emotional/expressive, may hallucinateNatural0.5-0.7Balanced, closest to original voiceRobust0.7-1.0Highly stable, less responsive to tags For audio tags, use Creative (0.5) or Natural. Higher stability reduces tag responsiveness.
Speed Control
Range: 0.7 (slow) to 1.2 (fast), default 1.0 Extreme values affect quality. For pacing, prefer audio tags like [rushed] or [drawn out].
Length Limits
Optimal: <800 characters per segment (best quality) Maximum: 10,000 characters (API hard limit) Quality degrades with longer text - voice becomes inconsistent
Audio Tags - Best Practices for Natural Sound
How many tags to use: 1-2 tags per sentence or phrase (not more!) Tags persist until the next tag - no need to repeat Overusing tags sounds unnatural and robotic Where to place tags: At emotional transition points Before key dramatic moments When energy/pace changes Context matters: Write text that matches the tag emotion Longer text with context = better interpretation Example: [nervous] I... I'm not sure about this. What if it doesn't work? works better than [nervous] Hello. Combine tags for nuance: [nervously][whispers] = nervous whispering [excited][laughs] = excited laughter Keep combinations to 2 tags max Regenerate for best results: v3 is non-deterministic - same text = different outputs Generate 3+ versions, pick the best Small text tweaks can improve results Match tag to voice: Don't use [shouts] on a whispering voice Don't use [whispers] on a loud/energetic voice Test tags with your chosen voice
SSML Not Supported
v3 does NOT support SSML break tags. Use audio tags and punctuation instead.
Punctuation Effects (use with tags!)
Punctuation enhances audio tags: Ellipses (...) โ dramatic pauses: [nervous] I... I don't know... CAPS โ emphasis: [excited] That's AMAZING! Dashes (โ) โ interruptions: [explaining] So what you do isโ [interrupting] Wait! Question marks โ uncertainty: [nervous] Are you sure about this? Exclamation! โ energy boost: [happy] We did it! Combine tags + punctuation for maximum effect: [tired] It was a long day... [sighs] Nobody listens anymore.
Complete Workflow
Generate with tts tool (returns MP3) Convert to Opus (required for Android!) Send with message tool
Step-by-Step
1. Generate TTS (add [pause] at end to prevent cutoff): tts text="[excited] This is amazing! [pause]" channel=whatsapp Returns: MEDIA:/tmp/tts-xxx/voice-123.mp3 2. Convert MP3 โ Opus: ffmpeg -i /tmp/tts-xxx/voice-123.mp3 -c:a libopus -b:a 64k -vbr on -application voip /tmp/tts-xxx/voice-123.ogg 3. Send the Opus file: Note: The message field below contains a Unicode Left-to-Right Mark (U+200E) between the quotes. This is intentional โ WhatsApp requires a non-empty message body to send voice notes. The LTR mark is invisible but satisfies this requirement without displaying any text. message action=send channel=whatsapp target="+972..." filePath="/tmp/tts-xxx/voice-123.ogg" asVoice=true message="โ"
Why Opus?
FormatiOSAndroidTranscribeMP3โ Worksโ May failโ NoOpus (.ogg)โ Worksโ Worksโ Yes Always convert to Opus - it's the only format that: Works on all devices (iOS + Android) Supports WhatsApp's transcribe button
Audio Cutoff Fix
ElevenLabs sometimes cuts off the last word. Always add [pause] or ... at the end: [excited] This is amazing! [pause]
Long-Form Audio (Podcasts)
For content >800 chars: Split into short segments (<800 chars each) Generate each with tts tool Concatenate with ffmpeg: cat > list.txt << EOF file '/path/file1.mp3' file '/path/file2.mp3' EOF ffmpeg -f concat -safe 0 -i list.txt -c copy final.mp3 Convert to Opus for WhatsApp Send as single voice message Important: Don't mention "part 2" or "chapter" - keep it seamless.
Multi-Speaker Dialogue
v3 can handle multiple characters in one generation: Jessica: [whispers] Did you hear that? Chris: [interrupting] โI heard it too! Jessica: [panicking] We need to hide! Dialogue tags: [interrupting], [overlapping], [cuts in], [interjecting]
Audio Tags Quick Reference
CategoryTagsWhen to UseEmotions[excited], [happy], [sad], [angry], [nervous], [curious]Main emotional state - use 1 per sectionDelivery[whispers], [shouts], [soft], [rushed], [drawn out]Volume/speed changesReactions[laughs], [sighs], [gasps], [clears throat], [gulps]Natural human moments - sprinkle sparinglyPacing[pause], [hesitates], [stammers], [breathes]Dramatic timingCharacter[French accent], [British accent], [robotic tone]Character voice shiftsDialogue[interrupting], [overlapping], [cuts in]Multi-speaker conversations Most effective tags (reliable results): Emotions: [excited], [nervous], [sad], [happy] Reactions: [laughs], [sighs], [whispers] Pacing: [pause] Less reliable (test and regenerate): Sound effects: [explosion], [gunshot] Accents: results vary by voice Full tag list: See references/audio-tags.md
Troubleshooting
Tags read aloud? Verify using eleven_v3 model Use IVC/premade voices, not PVC Simplify tags (no "tone" suffix) Increase text length (250+ chars) Voice inconsistent? Segment is too long - split at <800 chars Regenerate (v3 is non-deterministic) Try lower stability setting WhatsApp won't play? Convert to Opus format (see above) No emotion despite tags? Voice may not match tag style Try Creative stability mode (0.5) Add more context around the tag
Category context
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Docs
- SKILL.md
- references/audio-tags.md