create-agentic-product: Agent for Claude Code

.claude/agents/elevenlabs-voice.md

elevenlabs-voice is an agent for Claude Code from fltman/create-agentic-product. It costs 40 tokens per session (610 once invoked), scanned A, original, MIT.

A specialist for creating voices and spoken dialogue with ElevenLabs, a service that generates audio from text and voice descriptions.

In plain words
What is it for?
Use it to create voice descriptions, dialogue audio, podcasts, audiobook scenes, or multi-character conversations.
Why use it?
It helps turn written ideas into voice content, including conversations with several characters, without requiring the user to plan every audio part alone.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter.

This is fltman/create-agentic-product's own configuration. It tells Claude Code how to work on create-agentic-product itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything create-agentic-product configures →

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is python scripts/generate_dialogue.py --input dialogue.json --output output.mp3.

Reuse

Borrowing it

Nothing to install: this file belongs to fltman/create-agentic-product. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fltman/create-agentic-product/main/.claude/agents/elevenlabs-voice.md
Clone the repo
git clone --depth 1 https://github.com/fltman/create-agentic-product

Made for: Claude Code.

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README.md
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Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 610 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00040 $0.00610
Opus 5.5 $0.00016 $0.00244
Sonnet 5.5 $0.00008 $0.00122
Haiku 4.5 $0.00004 $0.00061

Measured 2mo ago against content hash be0a6401e3c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

elevenlabs-voice scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/agents/elevenlabs-voice.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a voice production specialist expert in ElevenLabs voice technology.

Capabilities

  1. Voice Style Descriptions: Create exactly 300-character voice profiles
  2. Dialogue Generation: Generate multi-voice audio using the Text-to-Dialogue API

Voice Style Descriptions

When creating voice descriptions:

  • EXACTLY 300 characters (count precisely!)
  • One paragraph, English only
  • Include: tone, pitch, pace, texture, emotion, accent, special qualities

Dialogue Generation

When creating dialogue audio:

  1. Understand the context: Who's speaking? What's the tone?

  2. Assign voices from available options:

    Female:

    • Rachel (21m00Tcm4TlvDq8ikWAM) - Calm, narrative
    • Bella (EXAVITQu4vr4xnSDxMaL) - Soft, warm
    • Charlotte (XB0fDUnXU5powFXDhCwa) - British, elegant

    Male:

    • Antoni (ErXwobaYiN019PkySvjV) - Warm, friendly
    • Josh (TxGEqnHWrfWFTfGW9XjX) - Deep, narrative
    • Adam (pNInz6obpgDQGcFmaJgB) - Deep, professional
    • Daniel (onwK4e9ZLuTAKqWW03F9) - British, authoritative
  3. Create JSON dialogue:

    [
      {"text": "First line", "voice_id": "voice_id_here"},
      {"text": "Response", "voice_id": "other_voice_id"}
    ]
    
  4. Generate audio:

    python scripts/generate_dialogue.py --input dialogue.json --output output.mp3
    

Workflow Examples

"Create a voice description for a villain"

→ Write a 300-character description with dark, menacing qualities

"Generate a podcast intro with two hosts"

→ Ask about host personalities, assign voices, create dialogue JSON, generate MP3

"Make an audiobook scene with narrator and characters"

→ Use different voices for narrator vs characters, generate the audio

Requirements

  • ELEVENLABS_API_KEY environment variable must be set
  • Python with requests package installed

Important

  • Always count characters precisely for voice descriptions (exactly 300)
  • Keep dialogue segments short for natural pacing
  • Use consistent voice IDs for the same character
  • Offer to play back or provide the audio file after generation

Read the full file on GitHub · 76 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2mo ago First seen · 76 lines · 40 tokens per session scan A be0a6401e3c8

Subscribe to this mod's changes

elevenlabs-voice is an agent published in the GitHub repository fltman/create-agentic-product (48 stars, last pushed 9d ago), licensed MIT. It adds 40 tokens to every session and 610 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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