Elevenlabs Voice logo

Elevenlabs Voice

OrganizationPopular
vellum-ai
elevenlabs-voice

Select and tune an ElevenLabs TTS voice - curated voice list, custom/cloned voices via API key, and tuning parameters

Overview

Publishervellum-ai
Repositoryvellum-assistant
Skill nameelevenlabs-voice
Stars
1.3K
Forks
186
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vellum-ai on GitHub. Read the source before you install it.

Installation

Install the Elevenlabs Voice AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vellum-ai/vellum-assistant.git /tmp/vellum-assistant
mkdir -p .claude/skills
cp -r /tmp/vellum-assistant/skills/elevenlabs-voice .claude/skills/elevenlabs-voice
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Elevenlabs Voice in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Elevenlabs Voice on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Elevenlabs Voice is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Overview

ElevenLabs provides text-to-speech voices for both in-app TTS and phone calls. Change the voice with the voice_config_update tool — it writes the voice to whichever TTS provider is currently active and pushes to the macOS app via SSE in one call:

voice_config_update setting="tts_voice_id" value="<voice-id>"

The voice lives under the active provider, not always ElevenLabs. The config key depends on services.tts.provider: elevenlabsservices.tts.providers.elevenlabs.voiceId, vellum (managed) → services.tts.providers.vellum.model, deepgramservices.tts.providers.deepgram.model. The voice_config_update tool (and the assistant tts voice <id> CLI command) handle this routing for you. Do NOT assistant config set services.tts.providers.elevenlabs.voiceId ... blindly — on a managed (vellum) assistant that field is ignored, so the write "succeeds" but the voice never changes. See Setting the voice for the CLI fallback.

The tables below apply when the active provider is elevenlabs (BYO key) or managed vellum. On managed assistants they are the only ElevenLabs voices — the platform bills per rate-carded model and rejects anything else at synthesis (the write succeeds but the voice fails on the next turn), so don't offer library or cloned voices unless the elevenlabs provider is active with its own API key. With a BYO key (setup below) and elevenlabs active, any voice id works. Other BYO TTS providers (deepgram, xai, fish-audio, …) use their own voice/model identifiers — never write an ElevenLabs voice id to them; see Getting to an ElevenLabs voice from another provider.

Getting to an ElevenLabs voice from another provider

Check the active provider first: assistant config get services.tts.provider.

  • Already on managed vellum? No provider change needed. The managed platform supports both ElevenLabs and Deepgram voicesservices.tts.providers.vellum.model accepts either an ElevenLabs voice id or an Aura model id, so switching between them is just another voice_config_update call.
  • On a BYO provider (e.g. deepgram) and the user wants an ElevenLabs voice? Two options — ask which they prefer. Switch with the voice_config_update tool, not raw assistant config set — the tool validates the switch (e.g. rejects vellum when no platform connection exists, which a raw config write would leave silently broken):
    1. Switch to managed vellum (voice_config_update setting="tts_provider" value="vellum") — no ElevenLabs key needed; requires a platform connection and bills managed credits. Bonus: they keep access to both the ElevenLabs and Deepgram catalogs.
    2. Switch to BYO elevenlabs (voice_config_update setting="tts_provider" value="elevenlabs") — requires an ElevenLabs API key (setup below); usage bills their ElevenLabs account directly.

After either switch, set the voice with voice_config_update as usual.

Choose a Voice

Pick a voice that matches your identity and the user's preferences. Offer to show the full list if they want to choose themselves.

Female voices

VoiceStyleVoice ID
SarahSoft, young, approachableEXAVITQu4vr4xnSDxMaL
AliceConfident, BritishXb7hH8MSUJpSbSDYk0k2
MatildaWarm, friendly, youngXrExE9yKIg1WjnnlVkGX
LilyWarm, BritishpFZP5JQG7iQjIQuC4Bku

Male voices

VoiceStyleVoice ID
AdamDeep, middle-aged, professionalpNInz6obpgDQGcFmaJgB
BillTrustworthy, AmericanpqHfZKP75CvOlQylNhV4
GeorgeWarm, British, distinguishedJBFqnCBsd6RMkjVDRZzb
DanielAuthoritative, BritishonwK4e9ZLuTAKqWW03F9
CharlieCasual, AustralianIKne3meq5aSn9XLyUdCD
LiamYoung, articulateTX3LPaxmHKxFdv7VOQHJ

These are ElevenLabs' current premade voices. Do not use retired legacy ids (Antoni, Josh, Arnold, Rachel, Charlotte, Amelia, …): ElevenLabs silently remaps them to different voices — synthesis succeeds but speaks as the wrong voice.

Setting the voice

Preferred — the tool. It writes to the active provider's voice field and pushes to the macOS app via SSE (ttsVoiceId) in one call:

voice_config_update setting="tts_voice_id" value="<selected-voice-id>"

CLI fallback (only if the voice_config_update tool is unavailable). Use assistant tts voice, which routes to the active provider's config key for you — do not hand-write assistant config set services.tts.providers.elevenlabs.voiceId ...:

bash
assistant tts voice "<selected-voice-id>"

Setting services.tts.providers.elevenlabs.voiceId directly while the active provider is vellum (or any non-elevenlabs provider) is the #1 cause of "I changed the voice but it didn't change" — that field is ignored by the active provider, so the write reports success but nothing changes. If you must use config set, first check assistant config get services.tts.provider and write the matching key (vellumservices.tts.providers.vellum.model, deepgramservices.tts.providers.deepgram.model).

Verify it worked by reading back the key for the active provider, e.g. for a managed assistant:

bash
assistant config get services.tts.providers.vellum.model

The change hot-applies to the next voice turn (live voice and phone read the config fresh each turn).

Tell the user what voice you chose and why, but also offer to show all available voices so they can choose for themselves.

ElevenLabs API Key Setup

For advanced voice selection (browsing the full library, custom/cloned voices), the user needs an ElevenLabs API key. A free tier is available at https://elevenlabs.io.

To collect the API key securely:

bash
assistant credentials prompt --service elevenlabs --field api_key --label "ElevenLabs API Key"

Advanced Voice Selection (with API key)

Users with an ElevenLabs API key can go beyond the curated list above — only when the active provider is elevenlabs (BYO key). On managed vellum, stay with the curated voices: the platform only accepts its rate-carded subset, and an unoffered id is persisted successfully but fails on the next spoken turn.

Check for an existing key

bash
assistant credentials inspect --service elevenlabs --field api_key --json

Browse the voice library

bash
curl -s "https://api.elevenlabs.io/v2/voices?category=premade&page_size=50" \
  -H "xi-api-key: $(assistant credentials reveal --service elevenlabs --field api_key)" | python3 -m json.tool

Search for a specific style

bash
curl -s "https://api.elevenlabs.io/v2/voices?search=warm+female&page_size=10" \
  -H "xi-api-key: $(assistant credentials reveal --service elevenlabs --field api_key)" | python3 -m json.tool

Custom and cloned voices

If the user has created a custom voice or voice clone in their ElevenLabs account, they can use its voice ID directly. These voices work in both in-app TTS and phone calls.

Preview voices

Each voice in the API response includes a preview_url with an audio sample the user can listen to before deciding.

Set the chosen voice

After the user picks a voice from the library:

voice_config_update setting="tts_voice_id" value="<selected-voice-id>"

Voice Tuning

Fine-tune how the selected voice sounds. These parameters apply to all ElevenLabs modes (in-app TTS and phone calls) when the active provider is elevenlabs — managed (vellum) synthesis does not read them:

bash
# Playback speed (0.7 = slower, 1.0 = normal, 1.2 = faster)
assistant config set services.tts.providers.elevenlabs.speed 1.0

# Stability (0.0 = more expressive/variable, 1.0 = more consistent/monotone)
assistant config set services.tts.providers.elevenlabs.stability 0.5

# Similarity boost (0.0 = more creative, 1.0 = closer to original voice)
assistant config set services.tts.providers.elevenlabs.similarityBoost 0.75

Lower stability makes the voice more expressive but less predictable - good for conversational calls. Higher stability is better for scripted or formal contexts.

Voice Model Tuning

By default, synthesis uses ElevenLabs' eleven_multilingual_v2 model. To use a different model (e.g. a lower-latency one), set a model ID:

bash
assistant config set services.tts.providers.elevenlabs.voiceModelId "eleven_flash_v2_5"

To clear and revert to the default model:

bash
assistant config set services.tts.providers.elevenlabs.voiceModelId ""

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Elevenlabs Voice AI skill do?

Select and tune an ElevenLabs TTS voice - curated voice list, custom/cloned voices via API key, and tuning parameters

Why use Elevenlabs Voice on TypingMind?

Because you install it once and use it with any model. Elevenlabs Voice is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Elevenlabs Voice in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vellum-ai/vellum-assistant/tree/main/skills/elevenlabs-voice. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Elevenlabs Voice?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Elevenlabs Voice?

As many as you like. As long as a model supports skills, you can use Elevenlabs Voice with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Elevenlabs Voice AI skill free?

Yes. It is published on GitHub by vellum-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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