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Elevenlabs

Skill sanjay3290/ai-skills/skills/elevenlabs

Convert documents and text to audio using ElevenLabs text-to-speech. Use this skill when the user wants to create a podcast, narrate a document, read aloud text, generate audio from a file, or convert text to speech.From its SKILL.md

Install
npx -y skills add sanjay3290/ai-skills --skill elevenlabs

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • reads credentialsReads from 2 credential sources: `skills/elevenlabs/config.json` and 1 more.
  • runs commandsInstructs the agent to run 8 commands, including `python skills/elevenlabs/scripts/elevenlabs.py voices` and 7 more.

What its file declares

Copied from the file, not written here

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

4.2 KB, ~1.0k tokens by cl100k_base, as published. Nobody here has run it

ElevenLabs - Text-to-Speech & Podcast Skill

Overview

This skill converts text and documents into high-quality audio using ElevenLabs TTS API. It supports two modes: single-voice narration and two-host conversational podcast generation.

When to Use This Skill

Activate when the user mentions:

  • "create podcast", "generate podcast", "podcast from document"
  • "narrate document", "narrate this file", "read aloud"
  • "text to speech", "TTS", "convert to audio"
  • "audio from document", "audio version of"

Setup

Config at skills/elevenlabs/config.json:

{
  "api_key": "your-elevenlabs-api-key",
  "default_voice": "JBFqnCBsd6RMkjVDRZzb",
  "default_model": "eleven_multilingual_v2",
  "podcast_voice1": "JBFqnCBsd6RMkjVDRZzb",
  "podcast_voice2": "EXAVITQu4vr4xnSDxMaL"
}

Only api_key is required. Or set ELEVENLABS_API_KEY env var.

Dependencies: pip install PyPDF2 python-docx (only needed for PDF/DOCX files).

Requires ffmpeg for multi-chunk narration and podcasts.

Commands

List Voices

python skills/elevenlabs/scripts/elevenlabs.py voices
python skills/elevenlabs/scripts/elevenlabs.py voices --json

Use this to find voice IDs for the user.

Single-Voice TTS

# From text
python skills/elevenlabs/scripts/elevenlabs.py tts --text "Hello world" --output ~/Downloads/hello.mp3

# From document
python skills/elevenlabs/scripts/elevenlabs.py tts --file /path/to/doc.pdf --output ~/Downloads/narration.mp3

# With specific voice
python skills/elevenlabs/scripts/elevenlabs.py tts --file doc.md --voice VOICE_ID --output out.mp3

The script handles text extraction, chunking at sentence boundaries (~4000 chars), TTS per chunk with voice continuity, and ffmpeg concatenation automatically.

Podcast Generation

Podcast mode requires a JSON script file with conversation segments:

[
  {"speaker": "host1", "text": "Welcome to our podcast! Today we're diving into..."},
  {"speaker": "host2", "text": "That's right! I found the section on..."},
  {"speaker": "host1", "text": "Let's break that down..."}
]
python skills/elevenlabs/scripts/elevenlabs.py podcast --script /tmp/script.json --voice1 ID1 --voice2 ID2 --output ~/Downloads/podcast.mp3

Podcast Workflow (for Claude)

When the user asks to create a podcast from a document:

  1. Extract the document text:

    python skills/elevenlabs/scripts/extract.py /path/to/document.pdf
    
  2. Generate a two-host conversation script from the extracted text. Follow these guidelines:

    • Write as a natural, engaging discussion between two hosts
    • Host 1 typically leads/introduces topics, Host 2 adds analysis and reactions
    • Start with a brief intro welcoming listeners and stating the topic
    • End with a summary/outro
    • Keep each turn under 3000 characters
    • Vary turn lengths - mix short reactions with longer explanations
    • Use conversational language: "That's a great point", "What I found interesting was..."
    • Reference specific details from the source document
    • Avoid reading the document verbatim - discuss and interpret it
  3. Write the script as a JSON array to a temp file:

    # Write to /tmp/podcast_script.json
    [
      {"speaker": "host1", "text": "Welcome to today's episode..."},
      {"speaker": "host2", "text": "Thanks for having me..."},
      ...
    ]
    
  4. Generate the podcast:

    python skills/elevenlabs/scripts/elevenlabs.py podcast --script /tmp/podcast_script.json --output ~/Downloads/podcast.mp3
    
  5. Clean up the temp script file.

Tips

  • Run voices first to let the user pick voices they like
  • For podcasts, suggest voice pairs with contrasting qualities (e.g., one deep, one bright)
  • Default output to ~/Downloads/ unless the user specifies otherwise
  • For large documents, warn the user about character usage on their ElevenLabs plan

What ships with it: 4 files

24.7 KB alongside SKILL.md, 2 of them executable

scripts/

Gives 0 of the 12 instructions most video audio skills give in ~1.0k tokens

Counted across 619 of the 725 authors here whose files we hold, read 2026-09-06

  • Read product marketing context firstin 13 of 619, across 7 files
  • Define the core visual thesis in one sentencein 11 of 619, across 3 files
  • Break the concept into 3 to 6 scenesin 11 of 619, across 3 files
  • Render the smallest working version firstin 11 of 619, across 3 files
  • Start with a low-quality smoke test renderin 11 of 619, across 3 files
  • Add captions for accessibility and engagementin 11 of 619, across 5 files
  • Write the scene outline before writing codein 11 of 619, across 3 files
  • Specify subject, action, camera, style, and moodin 11 of 619, across 5 files
  • Decide what each scene provesin 10 of 619, across 2 files
  • Export one clean thumbnail framein 10 of 619, across 2 files
  • Pick the right tool for the jobin 10 of 619, across 4 files
  • Run the test suite before proposing a fixin 8 of 619, across 7 files

Said here and by no other author read

  • Extract the document text
  • Generate a two host conversation script
  • Write the script as a json array

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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