---

name: elevenlabs-core-workflow-a description: | Implement ElevenLabs text-to-speech and voice cloning workflows. Use when building TTS features, cloning voices from audio samples, streaming speech to a chatbot, or implementing the primary ElevenLabs money-path: voice generation. Trigger with "elevenlabs TTS", "text to speech", "voice cloning elevenlabs", "clone a voice", "generate speech", "elevenlabs voice". allowed-tools: Read, Write, Bash(npm:), Bash(curl:) version: 1.6.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io tags:

• saas
• voice
• ai
• elevenlabs
• tts
• voice-cloning compatibility: Designed for Claude Code

---

ElevenLabs Core Workflow A — TTS & Voice Cloning

Overview

The primary ElevenLabs workflows: (1) Text-to-Speech with voice settings, (2) Instant Voice Cloning from audio samples, (3) streaming TTS via WebSocket for real-time applications, and (4) voice-library management. This SKILL.md walks the full flow at a high level and carries the first TTS example inline; the deep code for cloning, streaming, and management lives in the full implementation walkthrough.

Prerequisites

• Completed elevenlabs-install-auth setup
• Valid API key with sufficient character quota
• For voice cloning: audio recording(s) of the target voice (min 30 seconds, clean audio)

Instructions

Step 1: Advanced Text-to-Speech

Instantiate the client, call textToSpeech.convert(voiceId, opts), and pipe the returned stream to a file. The voice_settings block is where you tune delivery:

import { ElevenLabsClient } from "@elevenlabs/elevenlabs-js";
import { createWriteStream } from "fs";
import { Readable } from "stream";
import { pipeline } from "stream/promises";

const client = new ElevenLabsClient();

async function generateSpeech(
  text: string,
  voiceId: string,
  outputPath: string
) {
  const audio = await client.textToSpeech.convert(voiceId, {
    text,
    model_id: "eleven_multilingual_v2",
    voice_settings: {
      stability: 0.5,          // Lower = more expressive, higher = more consistent
      similarity_boost: 0.75,  // How closely to match the original voice
      style: 0.3,              // Amplify the speaker's style (adds latency if > 0)
      speed: 1.0,              // 0.7 to 1.2 range
    },
    // Optional: enforce language for multilingual model
    // language_code: "en",    // ISO 639-1
  });

  await pipeline(Readable.fromWeb(audio as any), createWriteStream(outputPath));
  console.log(`Generated: ${outputPath}`);
}

await generateSpeech("Welcome to our platform.", "21m00Tcm4TlvDq8ikWAM", "stable.mp3");

Step 2: Instant Voice Cloning (IVC)

Clone a voice from 1-25 audio samples with client.voices.add({ name, description, files }), which returns a voice_id you can use immediately in textToSpeech.convert. Use similarity_boost: 0.85 on cloned voices to stay close to the original. Full cloneVoice implementation: implementation.md, Step 2.

Step 3: WebSocket Streaming TTS

For real-time apps (chatbots, live narration), open wss://api.elevenlabs.io/v1/text-to-speech/{voiceId}/stream-input with the low-latency eleven_flash_v2_5 model. Send a space as Beginning-of-Stream, stream text chunks, then an empty string as End-of-Stream; collect base64 audio frames until isFinal. Full streamTTSWebSocket implementation: implementation.md, Step 3.

Step 4: Voice Management

List, inspect, update, and delete voices with client.voices.getAll(), getSettings, editSettings, and delete. Full helpers: implementation.md, Step 4.

Tuning Reference

Two lookup tables — the voice-cloning input requirements and the full voice_settings range/effect guide with per-use-case starting points — live in implementation.md. Quick defaults:

• Narration: stability=0.5, similarity_boost=0.75, style=0.0
• Conversational: stability=0.4, similarity_boost=0.6, style=0.3
• Cloned voice: stability=0.5, similarity_boost=0.85, style=0.0

Output

• Text-to-Speech (Step 1): an audio stream written to outputPath (e.g. stable.mp3); console logs Generated: plus the output path.
• Voice cloning (Step 2): a new voice_id (logged as Cloned voice created: plus the id) plus an immediately-usable audio stream in the cloned timbre.
• WebSocket streaming (Step 3): a concatenated Buffer of base64-decoded audio chunks assembled as frames arrive.
• Voice management (Step 4): printed voice listings (name, voice_id, category), current/updated settings, or a delete confirmation.

Error Handling

Error	HTTP	Cause	Solution
voice_not_found	404	Invalid voice_id	List voices first: GET /v1/voices
text_too_long	400	Over 5,000 chars per request	Split text and use previous_text/next_text for prosody
quota_exceeded	401	Character limit reached	Check usage, upgrade plan
too_many_concurrent_requests	429	Exceeds plan concurrency	Queue requests; see concurrency limits
invalid_voice_sample	400	Bad audio file for cloning	Use clean audio, supported format, 30s+
WebSocket model_not_supported	N/A	eleven_v3 not available for WS	Use eleven_flash_v2_5 or eleven_multilingual_v2

Examples

Four complete input-to-audio scenarios are in references/examples.md:

1. Generate narration from a script — batch a marketing script to one MP3 with a premade voice.
2. Clone a narrator voice and speak with it — clone from two samples, then synthesize with the returned voice_id.
3. Stream an LLM response as speech — pipe chatbot chunks through the WebSocket for real-time playback.
4. Audit and prune your voice library — list every voice by category, then delete a stale clone.

Resources

• TTS API Reference
• Voice Cloning Guide
• WebSocket Streaming
• Voice Settings

Next Steps

For speech-to-speech, sound effects, and audio isolation, see the companion skill elevenlabs-core-workflow-b, which covers the remaining ElevenLabs audio-transformation endpoints.