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Elevenlabs tts

Skill nota-america/forgecat-agent-profiles/profiles/mengto/skills/mango_skills_agent-skills-codex/for-forgecat/skills/elevenlabs-tts

Generate ElevenLabs text-to-speech audio from scripts or inline text using local voice profiles. Use when the user asks for ElevenLabs, text-to-speech, TTS, narration, voiceover, speech audio, or voice generation; load voice names, voice ids, emails, owners, and account-specific defaults only from local config outside the skill.From its SKILL.md

Install
npx -y skills add nota-america/forgecat-agent-profiles --skill elevenlabs-tts

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SKILL.md

3.4 KB, 802 tokens by cl100k_base, as published. Nobody here has run it

ElevenLabs TTS

Use this skill for ElevenLabs text-to-speech generation. Keep the skill reusable and non-personal:

  • Do not store API keys, voice names, voice ids, emails, account names, customer names, or personal defaults in the skill.
  • Read ELEVENLABS_API_KEY from the process environment or the nearest .env.
  • Read account-specific voice profiles from local JSON config outside this skill.
  • Generate audio with request-level settings. Do not mutate saved ElevenLabs account or voice settings unless the user explicitly asks.

Local Profiles

Prefer one of these config sources, in order:

  1. --config /path/to/profiles.json
  2. ELEVENLABS_TTS_CONFIG=/path/to/profiles.json
  3. local/elevenlabs/profiles.json

Project-local profile files are also fine when they are gitignored, for example config/local/elevenlabs-tts.json.

The helper script expects this shape:

{
  "default_profile": "default",
  "profiles": {
    "default": {
      "voice_name": "Voice name from the local account",
      "voice_id": "optional-direct-voice-id",
      "voice_id_env": "OPTIONAL_ENV_VAR_WITH_VOICE_ID",
      "model_id": "eleven_multilingual_v2",
      "output_format": "mp3_44100_128",
      "voice_settings": {
        "stability": 0.5,
        "similarity_boost": 1.0,
        "style": 0.0,
        "speed": 1.0,
        "use_speaker_boost": true
      },
      "output_dir": "outputs/voiceovers",
      "emails": []
    }
  }
}

Fields like emails, owners, aliases, and notes are for local routing/context only. The script ignores unknown metadata fields.

Workflow

  1. Choose the profile from --profile, ELEVENLABS_TTS_PROFILE, or default_profile.
  2. Prefer the helper script: python3 <skill-root>/scripts/generate_voice.py --text-file script.txt --profile default --output output.mp3
  3. If the profile has voice_id, use it. If it has voice_id_env, read that env var. Otherwise search ElevenLabs by voice_name.
  4. Use profile model_id, output_format, and voice_settings unless the user overrides them for this generation.
  5. Put generated audio in the requested destination. If no destination is given, use the profile output_dir, then outputs/voiceovers/.
  6. Report the output path and any important warnings. Do not print secrets.

Helper Script

The bundled script supports:

  • --text "..." for inline text
  • --text-file path.txt for script files
  • stdin when neither --text nor --text-file is provided
  • --profile name to select a local profile
  • --config path.json to select a local profile file
  • --voice-id, --voice-name, --model-id, --output-format, and --settings-json for one-off overrides
  • --output path.mp3 to choose the output file
  • --dry-run to print the resolved request payload without calling the text-to-speech endpoint
  • --list-voices to list matching ElevenLabs voices without generating audio

API Notes

Use the current ElevenLabs endpoints:

  • Voice search: GET https://api.elevenlabs.io/v2/voices
  • Speech generation: POST https://api.elevenlabs.io/v1/text-to-speech/:voice_id?output_format=...

Send the API key as xi-api-key.

What ships with it: 1 file

12.9 KB alongside SKILL.md, 1 of them executable

scripts/

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