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Elevenlabs

OrganizationPopular
digitalsamba
elevenlabs

Generate AI voiceovers, sound effects, and music using ElevenLabs APIs. Use when creating audio content for videos, podcasts, or games. Triggers include generating voiceovers, narration, dialogue, sound effects from descriptions, background music, soundtrack generation, voice cloning, or any audio synthesis task.

Overview

Publisherdigitalsamba
Repositoryclaude-code-video-toolkit
Skill nameelevenlabs
Stars
2.2K
Forks
367
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 digitalsamba on GitHub. Read the source before you install it.

Installation

Install the Elevenlabs 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.
    https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/elevenlabs
  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/digitalsamba/claude-code-video-toolkit.git /tmp/claude-code-video-toolkit
mkdir -p .claude/skills
cp -r /tmp/claude-code-video-toolkit/.claude/skills/elevenlabs .claude/skills/elevenlabs
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Elevenlabs 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 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 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.

ElevenLabs Audio Generation

Requires ELEVENLABS_API_KEY in .env.

Text-to-Speech

python
from elevenlabs.client import ElevenLabs
from elevenlabs import save, VoiceSettings
import os

client = ElevenLabs(api_key=os.getenv("ELEVENLABS_API_KEY"))

audio = client.text_to_speech.convert(
    text="Welcome to my video!",
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    model_id="eleven_multilingual_v2",
    voice_settings=VoiceSettings(
        stability=0.5,
        similarity_boost=0.75,
        style=0.5,
        speed=1.0
    )
)
save(audio, "voiceover.mp3")

Models

ModelQualitySSML SupportNotes
eleven_multilingual_v2Highest consistencyNoneStable, production-ready, 29 languages
eleven_flash_v2_5Good<break>, <phoneme>Fast, supports pause/pronunciation tags
eleven_turbo_v2_5Good<break>, <phoneme>Fastest latency
eleven_v3Most expressiveNoneAlpha — unreliable, needs prompt engineering

Choose: multilingual_v2 for reliability, flash/turbo for SSML control, v3 for maximum expressiveness (expect retakes).

Voice Settings by Style

Stylestabilitysimilaritystylespeed
Natural/professional0.75-0.850.90.0-0.11.0
Conversational0.5-0.60.850.3-0.40.9-1.0
Energetic/YouTuber0.3-0.50.750.5-0.71.0-1.1

Pauses Between Sections

With flash/turbo models: Use SSML break tags inline:

...end of section. <break time="1.5s" /> Start of next...

Max 3 seconds per break. Excessive breaks can cause speed artifacts.

With multilingual_v2 / v3: No SSML support. Options:

  • Paragraph breaks (blank lines) — creates ~0.3-0.5s natural pause
  • Post-process with ffmpeg: split audio and insert silence

WARNING: ... (ellipsis) is NOT a reliable pause — it can be vocalized as a word/sound. Do not use ellipsis as a pause mechanism.

Pronunciation Control

Phonetic spelling (any model): Write words as you want them pronounced:

  • Janus → Jan-us
  • nginx → engine-x
  • Use dashes, capitals, apostrophes to guide pronunciation

SSML phoneme tags (flash/turbo only):

<phoneme alphabet="ipa" ph="ˈdʒeɪnəs">Janus</phoneme>

Iterative Workflow

  1. Generate → listen → identify pronunciation/pacing issues
  2. Adjust: phonetic spellings, break tags, voice settings
  3. Regenerate. If pauses aren't precise enough, add silence in post with ffmpeg rather than fighting the TTS engine.

Voice Cloning

Instant Voice Clone

python
with open("sample.mp3", "rb") as f:
    voice = client.voices.ivc.create(
        name="My Voice",
        files=[f],
        remove_background_noise=True
    )
print(f"Voice ID: {voice.voice_id}")
  • Use client.voices.ivc.create() (not client.voices.clone())
  • Pass file handles in binary mode ("rb"), not paths
  • Convert m4a first: ffmpeg -i input.m4a -codec:a libmp3lame -qscale:a 2 output.mp3
  • Multiple samples (2-3 clips) improve accuracy
  • Save voice ID for reuse

Professional Voice Clone: Requires Creator plan+, 30+ min audio. See reference.md.

Sound Effects

Max 22 seconds per generation.

python
result = client.text_to_sound_effects.convert(
    text="Thunder rumbling followed by heavy rain",
    duration_seconds=10,
    prompt_influence=0.3
)
with open("thunder.mp3", "wb") as f:
    for chunk in result:
        f.write(chunk)

Prompt tips: Be specific — "Heavy footsteps on wooden floorboards, slow and deliberate, with creaking"

Music Generation

10 seconds to 5 minutes. Use client.music.compose() (not .generate()).

python
result = client.music.compose(
    prompt="Upbeat indie rock, catchy guitar riff, energetic drums, travel vlog",
    music_length_ms=60000,
    force_instrumental=True
)
with open("music.mp3", "wb") as f:
    for chunk in result:
        f.write(chunk)

Prompt structure: Genre, mood, instruments, tempo, use case. Add "no vocals" or use force_instrumental=True for background music.

Remotion Integration

Complete Workflow: Script to Synchronized Scene

VOICEOVER-SCRIPT.md → voiceover.py → public/audio/ → Remotion composition
        ↓                  ↓               ↓                 ↓
  Scene narration    Generate MP3    Audio files     <Audio> component
  with durations     per scene       with timing     synced to scenes

Step 1: Generate Per-Scene Audio

Use the toolkit's voiceover tool to generate audio for each scene:

bash
# Generate voiceover files for each scene
uv run tools/voiceover.py --scene-dir public/audio/scenes --json

# Output:
# public/audio/scenes/
#   ├── scene-01-title.mp3
#   ├── scene-02-problem.mp3
#   ├── scene-03-solution.mp3
#   └── manifest.json  (durations for each file)

The manifest.json contains timing info:

json
{
  "scenes": [
    { "file": "scene-01-title.mp3", "duration": 4.2 },
    { "file": "scene-02-problem.mp3", "duration": 12.8 },
    { "file": "scene-03-solution.mp3", "duration": 15.3 }
  ],
  "totalDuration": 32.3
}

Step 2: Use Audio in Remotion Composition

tsx
// src/Composition.tsx
import { Audio, staticFile, Series, useVideoConfig } from 'remotion';

// Import scene components
import { TitleSlide } from './scenes/TitleSlide';
import { ProblemSlide } from './scenes/ProblemSlide';
import { SolutionSlide } from './scenes/SolutionSlide';

// Scene durations (from manifest.json, converted to frames at 30fps)
const SCENE_DURATIONS = {
  title: Math.ceil(4.2 * 30),      // 126 frames
  problem: Math.ceil(12.8 * 30),   // 384 frames
  solution: Math.ceil(15.3 * 30),  // 459 frames
};

export const MainComposition: React.FC = () => {
  return (
    <>
      {/* Scene sequence */}
      <Series>
        <Series.Sequence durationInFrames={SCENE_DURATIONS.title}>
          <TitleSlide />
        </Series.Sequence>
        <Series.Sequence durationInFrames={SCENE_DURATIONS.problem}>
          <ProblemSlide />
        </Series.Sequence>
        <Series.Sequence durationInFrames={SCENE_DURATIONS.solution}>
          <SolutionSlide />
        </Series.Sequence>
      </Series>

      {/* Audio track - plays continuously across all scenes */}
      <Audio src={staticFile('audio/voiceover.mp3')} volume={1} />

      {/* Optional: Background music at lower volume */}
      <Audio src={staticFile('audio/music.mp3')} volume={0.15} />
    </>
  );
};

Step 3: Per-Scene Audio (Alternative)

For more control, add audio to each scene individually:

tsx
// src/scenes/ProblemSlide.tsx
import { Audio, staticFile, useCurrentFrame } from 'remotion';

export const ProblemSlide: React.FC = () => {
  const frame = useCurrentFrame();

  return (
    <div style={{ /* slide styles */ }}>
      <h1>The Problem</h1>
      {/* Scene content */}

      {/* Audio starts when this scene starts (frame 0 of this sequence) */}
      <Audio src={staticFile('audio/scenes/scene-02-problem.mp3')} />
    </div>
  );
};

Syncing Visuals to Voiceover

Calculate scene duration from audio, not the other way around:

tsx
// src/config/timing.ts
import manifest from '../../public/audio/scenes/manifest.json';

const FPS = 30;

// Convert audio durations to frame counts
export const sceneDurations = manifest.scenes.reduce((acc, scene) => {
  const name = scene.file.replace(/^scene-\d+-/, '').replace('.mp3', '');
  acc[name] = Math.ceil(scene.duration * FPS);
  return acc;
}, {} as Record<string, number>);

// Usage in composition:
// <Series.Sequence durationInFrames={sceneDurations.title}>

Audio Timing Patterns

tsx
import { Audio, Sequence, interpolate, useCurrentFrame } from 'remotion';

// Fade in audio
export const FadeInAudio: React.FC<{ src: string; fadeFrames?: number }> = ({
  src,
  fadeFrames = 30
}) => {
  const frame = useCurrentFrame();
  const volume = interpolate(frame, [0, fadeFrames], [0, 1], {
    extrapolateRight: 'clamp',
  });
  return <Audio src={src} volume={volume} />;
};

// Delayed audio start
export const DelayedAudio: React.FC<{ src: string; delayFrames: number }> = ({
  src,
  delayFrames
}) => (
  <Sequence from={delayFrames}>
    <Audio src={src} />
  </Sequence>
);

// Usage:
// <FadeInAudio src={staticFile('audio/music.mp3')} fadeFrames={60} />
// <DelayedAudio src={staticFile('audio/sfx/whoosh.mp3')} delayFrames={45} />

Voiceover + Demo Video Sync

When a scene has both voiceover and demo video:

tsx
import { Audio, OffthreadVideo, staticFile, useVideoConfig } from 'remotion';

export const DemoScene: React.FC = () => {
  const { durationInFrames, fps } = useVideoConfig();

  // Calculate playback rate to fit demo into voiceover duration
  const demoDuration = 45; // seconds (original demo length)
  const sceneDuration = durationInFrames / fps; // seconds (from voiceover)
  const playbackRate = demoDuration / sceneDuration;

  return (
    <>
      <OffthreadVideo
        src={staticFile('demos/feature-demo.mp4')}
        playbackRate={playbackRate}
      />
      <Audio src={staticFile('audio/scenes/scene-04-demo.mp3')} />
    </>
  );
};

Error Handling

tsx
import { Audio, staticFile, delayRender, continueRender } from 'remotion';
import { useEffect, useState } from 'react';

export const SafeAudio: React.FC<{ src: string }> = ({ src }) => {
  const [handle] = useState(() => delayRender());
  const [audioReady, setAudioReady] = useState(false);

  useEffect(() => {
    const audio = new window.Audio(src);
    audio.oncanplaythrough = () => {
      setAudioReady(true);
      continueRender(handle);
    };
    audio.onerror = () => {
      console.error(`Failed to load audio: ${src}`);
      continueRender(handle); // Continue without audio rather than hang
    };
  }, [src, handle]);

  if (!audioReady) return null;
  return <Audio src={src} />;
};

Toolkit Command: /generate-voiceover

The /generate-voiceover command handles the full workflow:

/generate-voiceover

1. Reads VOICEOVER-SCRIPT.md
2. Extracts narration for each scene
3. Generates audio via ElevenLabs API
4. Saves to public/audio/scenes/
5. Creates manifest.json with durations
6. Updates project.json with timing info

Popular Voices

  • George: JBFqnCBsd6RMkjVDRZzb (warm narrator)
  • Rachel: 21m00Tcm4TlvDq8ikWAM (clear female)
  • Adam: pNInz6obpgDQGcFmaJgB (professional male)

List all: client.voices.get_all()

For full API docs, see reference.md.

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 AI skill do?

Generate AI voiceovers, sound effects, and music using ElevenLabs APIs. Use when creating audio content for videos, podcasts, or games. Triggers include generating voiceovers, narration, dialogue, sound effects from descriptions, background music, soundtrack generation, voice cloning, or any audio synthesis task.

Why use Elevenlabs on TypingMind?

Because you install it once and use it with any model. Elevenlabs 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 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/digitalsamba/claude-code-video-toolkit/tree/main/.claude/skills/elevenlabs. 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?

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?

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

Is the Elevenlabs AI skill free?

Yes. It is published on GitHub by digitalsamba 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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