Agent skill

Text To Speech

Convert text to speech using ElevenLabs voice AI. An agent skill from elevenlabs/skills.

Install Text To Speech

skills CLI

$ npx skills add elevenlabs/skills --skill text-to-speech -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install elevenlabs/skills text-to-speech --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/elevenlabs/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/text-to-speech .claude/skills/text-to-speech && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "text-to-speech" agent skill from https://github.com/elevenlabs/skills/tree/main/text-to-speech into .claude/skills/text-to-speech/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-to-speech", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/elevenlabs/skills/tree/main/text-to-speech

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add elevenlabs/skills --skill text-to-speech -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install elevenlabs/skills text-to-speech --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/elevenlabs/skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/text-to-speech .agents/skills/text-to-speech && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "text-to-speech" agent skill from https://github.com/elevenlabs/skills/tree/main/text-to-speech into .agents/skills/text-to-speech/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-to-speech", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add elevenlabs/skills --skill text-to-speech -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install elevenlabs/skills text-to-speech --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/elevenlabs/skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/text-to-speech .cursor/skills/text-to-speech && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "text-to-speech" agent skill from https://github.com/elevenlabs/skills/tree/main/text-to-speech into .cursor/skills/text-to-speech/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-to-speech", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/elevenlabs/skills.git --path text-to-speech

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add elevenlabs/skills --skill text-to-speech -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install elevenlabs/skills text-to-speech --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/elevenlabs/skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/text-to-speech .gemini/skills/text-to-speech && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "text-to-speech" agent skill from https://github.com/elevenlabs/skills/tree/main/text-to-speech into .gemini/skills/text-to-speech/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-to-speech", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install elevenlabs/skills text-to-speech

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add elevenlabs/skills --skill text-to-speech -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/elevenlabs/skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/text-to-speech .github/skills/text-to-speech && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "text-to-speech" agent skill from https://github.com/elevenlabs/skills/tree/main/text-to-speech into .github/skills/text-to-speech/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-to-speech", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add elevenlabs/skills --skill text-to-speech -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install elevenlabs/skills text-to-speech --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/elevenlabs/skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/text-to-speech .opencode/skills/text-to-speech && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "text-to-speech" agent skill from https://github.com/elevenlabs/skills/tree/main/text-to-speech into .opencode/skills/text-to-speech/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "text-to-speech", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: text-to-speech
GitHub stars: 482
Token cost: ~2.2k tokens
SKILL.md length: 607 words
Files: 4 (incl. references)
Skills in repo: 8
Repo updated: Oct 9, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Convert text to speech using ElevenLabs voice AI. An agent skill from elevenlabs/skills.

Generating audio from text
SKILL.md covers Quick Start, Models, Voice IDs and Voice Settings, plus 8 more sections
Needs ELEVENLABS_API_KEY
Creating voiceovers

What it does

Text To Speech is an agent skill from elevenlabs/skills. Convert text to speech using ElevenLabs voice AI. Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech in 90+ languages.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/installation.md`, `references/streaming.md` and `references/voice-settings.md`). Compatibility notes: Requires internet access and an ElevenLabs API key (ELEVENLABSAPIKEY).

It sits in Media & Creative, covering Text to speech and voice. It works with ElevenLabs. The repository describes itself as: Collections of skills for building with ElevenLabs. The licence is MIT.

When your agent uses it

Generating audio from text
Creating voiceovers
Building voice apps
Synthesizing speech in 90+ languages

Example prompts

“/text-to-speech”

Requirements

Python 3
A credential in ELEVENLABS_API_KEY
Compatibility (from SKILL.md): Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY).

What it can do on your machine

Read from SKILL.md and the folder at commit 1d08a4a. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python, bash and javascript).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
- ELEVENLABS_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY).
From compatibility in the SKILL.md frontmatter.

Context cost

Text To Speech loads about 2.2k tokens when it runs, and up to ~7k if it reads all its reference files. Until then it costs about 46 tokens; SKILL.md has 607 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~46
When it runs · the whole SKILL.md, loaded when a task matches: ~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from elevenlabs/skills at commit 1d08a4a, republished under its MIT licence (© elevenlabs). 607 words, ~2,208 tokens.

Download SKILL.mdSave it as .claude/skills/text-to-speech/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.

name: text-to-speech
description: Convert text to speech using ElevenLabs voice AI. Use when generating audio from text, creating voiceovers, building voice apps, or synthesizing speech in 90+ languages.
compatibility: Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY).
license: MIT

ElevenLabs Text-to-Speech

Generate natural speech from text - supports 90+ languages, multiple models for quality vs latency tradeoffs. Examples default to eleven_v4, the latest and highest-quality model.

Setup: See Installation Guide. For JavaScript, use @elevenlabs/* packages only.

Quick Start

Python

python

from elevenlabs import ElevenLabs

client = ElevenLabs()

audio = client.text_to_speech.convert(
    text="Hello, welcome to ElevenLabs!",
    voice_id="JBFqnCBsd6RMkjVDRZzb",  # George
    model_id="eleven_v4"
)

with open("output.mp3", "wb") as f:
    for chunk in audio:
        f.write(chunk)

JavaScript

javascript

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

const client = new ElevenLabsClient();
const audio = await client.textToSpeech.convert("JBFqnCBsd6RMkjVDRZzb", {
  text: "Hello, welcome to ElevenLabs!",
  modelId: "eleven_v4",
});
// convert() returns a web ReadableStream — bridge it to a Node stream to write to disk
Readable.fromWeb(audio).pipe(createWriteStream("output.mp3"));

CLI

Use say to play text immediately with the default voice and eleven_v3 model:

bash

elevenlabs say "Hello!"

Pipe text into say when another command produces the input:

bash

echo "The build finished successfully." | elevenlabs say

Use the API command when you need to set request parameters directly:

bash

elevenlabs text-to-speech convert --voice-id JBFqnCBsd6RMkjVDRZzb \
  --text "Hello!" --model-id eleven_v4 --output output.mp3

The CLI reads ELEVENLABS_API_KEY from the environment automatically.

Models

Model ID	Languages	Latency	Best For
`eleven_v4`	90+	Standard	Default. Highest quality, emotional range, audio tags, voice cloning accuracy
`eleven_v4_turbo`	90+	~100ms	Real-time v4 quality for agents and interactive apps (via Text to Dialogue WebSocket)
`eleven_flash_v2_5`	32	~75ms	Lowest latency, lowest cost, `stream-input` WebSocket
`eleven_flash_v2`	English	~75ms	English-only, lowest latency
`eleven_multilingual_v2`	29	Standard	Previous generation; most stable on very long-form generations
`eleven_v3`	70+	Standard	Previous generation expressive model

eleven_turbo_v2_5 and eleven_turbo_v2 are superseded by the Flash models (same output, lower latency) — use eleven_flash_v2_5 / eleven_flash_v2 instead.

Eleven v4 notes: supports only stability and similarity_boost voice settings (no style or speed), does not support SSML, and is not available on the stream-input TTS WebSocket. Direct delivery with audio tags such as [whispers], [laughs], [sarcastic].

Voice IDs

Use pre-made voices or create custom voices in the dashboard.

Popular voices:

JBFqnCBsd6RMkjVDRZzb - George (male, narrative)
EXAVITQu4vr4xnSDxMaL - Sarah (female, soft)
onwK4e9ZLuTAKqWW03F9 - Daniel (male, authoritative)
XB0fDUnXU5powFXDhCwa - Charlotte (female, conversational)

python

voices = client.voices.get_all()
for voice in voices.voices:
    print(f"{voice.voice_id}: {voice.name}")

Voice Settings

Fine-tune how the voice sounds:

Stability: How consistent the voice stays. Lower values = more emotional range and variation, but can sound unstable. Higher = steady, predictable delivery.
Similarity boost: How closely to match the original voice sample. Higher values sound more like the original but may amplify audio artifacts.
Style: Exaggerates the voice's unique style characteristics (v2/v3 models; not supported on Eleven v4).
Speed: Speech speed multiplier (v2/v3 models; not supported on Eleven v4).
Speaker boost: Post-processing that enhances clarity and voice similarity.

python

from elevenlabs import VoiceSettings

audio = client.text_to_speech.convert(
    text="Customize my voice settings.",
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    model_id="eleven_v4",
    voice_settings=VoiceSettings(
        stability=0.5,          # Lower = more expressive, higher = more consistent
        similarity_boost=0.75,  # Higher = closer to the reference voice
    )
)

Language Selection

Use language_code with models that support language enforcement to guide pronunciation and text normalization. Unsupported language codes are ignored, and language_code is not supported on eleven_multilingual_v2.

python

audio = client.text_to_speech.convert(
    text="Bonjour, comment allez-vous?",
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    model_id="eleven_v4",
    language_code="fr"  # ISO 639-1 code
)

Show full SKILL.md (258 more words)Show less

Text Normalization

Controls how numbers, dates, and abbreviations are converted to spoken words. For example, "01/15/2026" becomes "January fifteenth, twenty twenty-six":

"auto" (default): Model decides based on context
"on": Always normalize (use when you want natural speech)
"off": Speak literally (use when you want "zero one slash one five...")

python

audio = client.text_to_speech.convert(
    text="Call 1-800-555-0123 on 01/15/2026",
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    model_id="eleven_v4",
    apply_text_normalization="on"
)

Request Stitching

When generating long audio in multiple requests, the audio can have pops, unnatural pauses, or tone shifts at the boundaries. Request stitching solves this by letting each request know what comes before/after it:

python

# First request
audio1 = client.text_to_speech.convert(
    text="This is the first part.",
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    model_id="eleven_v4",
    next_text="And this continues the story."
)

# Second request using previous context
audio2 = client.text_to_speech.convert(
    text="And this continues the story.",
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    model_id="eleven_v4",
    previous_text="This is the first part."
)

Output Formats

Format	Description
`mp3_44100_128`	MP3 44.1kHz 128kbps (default) - compressed, good for web/apps
`mp3_44100_192`	MP3 44.1kHz 192kbps (Creator+) - higher quality compressed
`mp3_44100_64`	MP3 44.1kHz 64kbps - lower quality, smaller files
`mp3_22050_32`	MP3 22.05kHz 32kbps - smallest MP3 files
`pcm_16000`	Raw PCM 16kHz - use for real-time processing
`pcm_22050`	Raw PCM 22.05kHz
`pcm_24000`	Raw PCM 24kHz - good balance for streaming
`pcm_44100`	Raw PCM 44.1kHz (Pro+) - CD quality
`pcm_48000`	Raw PCM 48kHz (Pro+) - highest quality
`ulaw_8000`	μ-law 8kHz - standard for phone systems (Twilio, telephony)
`alaw_8000`	A-law 8kHz - telephony (alternative to μ-law)
`opus_48000_64`	Opus 48kHz 64kbps - efficient streaming codec
`wav_44100`	WAV 44.1kHz - uncompressed with headers

Streaming

Use the stream method to receive audio chunks as they're generated:

python

audio_stream = client.text_to_speech.stream(
    text="This text will be streamed as audio.",
    voice_id="JBFqnCBsd6RMkjVDRZzb",
    model_id="eleven_v4"
)

for chunk in audio_stream:
    play_audio(chunk)

For real-time apps where latency matters most, use eleven_v4_turbo (~100ms) over the Text to Dialogue WebSocket, or eleven_flash_v2_5 (~75ms) over HTTP streaming or the stream-input WebSocket. See references/streaming.md.

Error Handling

python

try:
    audio = client.text_to_speech.convert(
        text="Generate speech",
        voice_id="invalid-voice-id",
        model_id="eleven_v4"
    )
except Exception as e:
    print(f"API error: {e}")

Common errors:

401: Invalid API key
422: Invalid parameters (check voice_id, model_id)
429: Rate limit exceeded

Tracking Costs

Monitor character usage via response headers (x-character-count, request-id):

python

response = client.text_to_speech.convert.with_raw_response(
    text="Hello!", voice_id="JBFqnCBsd6RMkjVDRZzb", model_id="eleven_v4"
)
audio = response.parse()
print(f"Characters used: {response.headers.get('x-character-count')}")

References

Files

SKILL.md and 3 other files (references) in text-to-speech of elevenlabs/skills.

SKILL.md
references/installation.md
references/streaming.md
references/voice-settings.md

Open the folder on GitHubat commit 1d08a4a

Compare with similar skills

Text To Speech next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Text To Speech compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Text To Speech this skillelevenlabs/skills	482	—	~2.2k	Automated safety check: Pass	MIT	yesterday
Musictadaspetra/loop	296	2 repos	~827	Automated safety check: Pass	MIT	8 days ago
Sound Effectstadaspetra/loop	296	2 repos	~1.1k	Automated safety check: Pass	MIT	8 days ago
Elevenlabs Transcribeqdhenry/Claude-Command-Suite	1.3k	—	~1.5k	Automated safety check: Notes	None	7 mo ago
Sagtrpc-group/trpc-agent-go	1.9k	15 repos	~574	Automated safety check: Pass	Apache-2.0	yesterday
MusicbozhouDev/video-skills-toolkit	150	—	~3.6k	Automated safety check: Pass	MIT	2 mo ago

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Questions about Text To Speech

What does Text To Speech do?

Convert text to speech using ElevenLabs voice AI. An agent skill from elevenlabs/skills. Text To Speech is an agent skill from elevenlabs/skills. Convert text to speech using ElevenLabs voice AI.

When should I use Text To Speech?

Text To Speech fits situations like: generating audio from text; creating voiceovers; building voice apps; synthesizing speech in 90+ languages.

How do I install Text To Speech in Claude Code?

Run `npx skills add elevenlabs/skills --skill text-to-speech -a claude-code`. Or copy the skill folder (text-to-speech in elevenlabs/skills) into .claude/skills/text-to-speech in your project. Claude Code loads it when a task matches its description.

How do I install Text To Speech in Codex?

Run `npx skills add elevenlabs/skills --skill text-to-speech -a codex`. Or copy the skill folder (text-to-speech in elevenlabs/skills) into .agents/skills/text-to-speech in your project. Codex loads it when a task matches its description.

Can I use Text To Speech in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add elevenlabs/skills --skill text-to-speech -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/text-to-speech, .gemini/skills/text-to-speech, .github/skills/text-to-speech and .opencode/skills/text-to-speech in your project.

What does Text To Speech need to run?

Going by SKILL.md and its folder, Text To Speech needs credentials named ELEVENLABS_API_KEY. Our summary lists: Python 3; A credential in ELEVENLABS_API_KEY. Compatibility (from SKILL.md): Requires internet access and an ElevenLabs API key (ELEVENLABS_API_KEY)..

Does Text To Speech access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Text To Speech safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Text To Speech use?

Text To Speech is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Text To Speech use?

About 2.2k tokens (SKILL.md is roughly 8.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.7k tokens, read only when the agent opens those files.

What are the alternatives to Text To Speech?

Skills that share tags, products or a category with Text To Speech: Music (tadaspetra/loop, 296 stars), Sound Effects (tadaspetra/loop, 296 stars), Elevenlabs Transcribe (qdhenry/Claude-Command-Suite, 1.3k stars) and Sag (trpc-group/trpc-agent-go, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Text To Speech?

elevenlabs (a GitHub organization) maintains it in elevenlabs/skills, which has 482 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 9, 2026.

Source: elevenlabs/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Text To Speech

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Compatibility

Context cost

Safety

SKILL.md

ElevenLabs Text-to-Speech

Quick Start

Python

JavaScript

CLI

Models

Voice IDs

Voice Settings

Language Selection

Text Normalization

Request Stitching

Output Formats

Streaming

Error Handling

Tracking Costs

References

Files

Compare with similar skills

Similar skills

More from elevenlabs/skills

Related

Questions about Text To Speech