Dialogue Audio logo

Dialogue Audio

Organization
101-skills
dialogue-audio

Multi-speaker dialogue audio creation with ElevenLabs and Dia TTS. Covers speaker tags, emotion control, pacing, conversation flow, and post-production. Use for: podcasts, audiobooks, explainers, character dialogue, conversational content. Triggers: dialogue audio, multi speaker, conversation audio, dia tts, two speakers, podcast audio, character voices, voice acting, dialogue generation, conversation tts, multi voice, speaker tags, dialogue recording, elevenlabs dialogue, eleven labs conversation

Overview

Publisher101-skills
Repositorysuperpowers
Skill namedialogue-audio
Stars
5
Forks
3
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by 101-skills on GitHub. Read the source before you install it.

Installation

Install the Dialogue Audio AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/101-skills/superpowers/tree/main/tools/audio/dialogue-audio
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/101-skills/superpowers.git /tmp/superpowers
mkdir -p .claude/skills
cp -r /tmp/superpowers/tools/audio/dialogue-audio .claude/skills/dialogue-audio
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dialogue Audio in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dialogue Audio on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dialogue Audio is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Install the belt CLI skill: npx skills add belt-sh/cli

Dialogue Audio

Create realistic multi-speaker dialogue with Dia TTS via inference.sh CLI.

Quick Start

Requires inference.sh CLI (belt). Install instructions

bash
belt login

# Two-speaker conversation
belt app run falai/dia-tts --input '{
  "prompt": "[S1] Have you tried the new feature yet? [S2] Not yet, but I heard it saves a ton of time. [S1] It really does. I cut my workflow in half. [S2] Okay, I am definitely trying it today."
}'

Speaker Tags

Dia TTS uses [S1] and [S2] to distinguish two speakers.

TagRoleVoice
[S1]Speaker 1Automatically assigned voice A
[S2]Speaker 2Automatically assigned voice B

Rules:

  • Always start each speaker turn with the tag
  • Tags must be uppercase: [S1] not [s1]
  • Maximum 2 speakers per generation
  • Each speaker maintains consistent voice within a session

Emotion & Expression Control

Dia TTS interprets punctuation and non-speech cues for emotional delivery.

Punctuation Effects

PunctuationEffectExample
.Neutral, declarative, medium pause"This is important."
!Emphasis, excitement, energy"This is amazing!"
?Rising intonation, questioning"Are you sure about that?"
...Hesitation, trailing off, long pause"I thought it would work... but it didn't."
,Short breath pause"First, we analyze. Then, we act."
— or --Interruption or pivot"I was going to say — never mind."

Non-Speech Sounds

Dia TTS supports parenthetical sound descriptions:

(laughs)      — laughter
(sighs)       — exasperation or relief
(clears throat) — attention-getting pause
(whispers)    — softer delivery
(gasps)       — surprise

Examples with Emotion

bash
# Excited conversation
belt app run falai/dia-tts --input '{
  "prompt": "[S1] Guess what happened today! [S2] What? Tell me! [S1] We hit ten thousand users! [S2] (gasps) No way! That is incredible! [S1] I know... I still cannot believe it."
}'

# Serious/thoughtful dialogue
belt app run falai/dia-tts --input '{
  "prompt": "[S1] We need to talk about the timeline. [S2] (sighs) I know. It is tight. [S1] Can we cut anything from the scope? [S2] Maybe... but it would mean dropping the analytics dashboard. [S1] That is a tough trade-off."
}'

# Teaching/explaining
belt app run falai/dia-tts --input '{
  "prompt": "[S1] So how does it actually work? [S2] Great question. Think of it like a pipeline. Data comes in on one end, gets processed in the middle, and comes out transformed on the other side. [S1] Like an assembly line? [S2] Exactly! Each step adds something."
}'

Pacing Control

Pause Hierarchy

TechniquePause LengthUse For
Comma ,~0.3 secondsBetween clauses, list items
Period .~0.5 secondsBetween sentences
Ellipsis ...~1.0 secondsDramatic pause, thinking, hesitation
New speaker tag~0.3 secondsNatural turn-taking gap

Speed Control

  • Shorter sentences = faster perceived pace
  • Longer sentences with commas = measured, thoughtful pace
  • Questions followed by answers = engaging back-and-forth rhythm
bash
# Fast-paced, energetic
belt app run falai/dia-tts --input '{
  "prompt": "[S1] Ready? [S2] Ready. [S1] Let us go! Three features. Five minutes. [S2] Hit it! [S1] Feature one: real-time sync."
}'

# Slow, contemplative
belt app run falai/dia-tts --input '{
  "prompt": "[S1] I have been thinking about this for a while... and I think we need to change direction. [S2] What do you mean? [S1] The market has shifted. What worked last year... is not working now."
}'

Conversation Structure Patterns

Interview Format

bash
belt app run falai/dia-tts --input '{
  "prompt": "[S1] Welcome to the show. Today we have a special guest. Tell us about yourself. [S2] Thanks for having me! I am a product designer, and I have been building tools for creators for about ten years. [S1] What got you started in design? [S2] Honestly? I was terrible at coding but loved making things look good. (laughs) So design was the natural path."
}'

Tutorial / Explainer

bash
belt app run falai/dia-tts --input '{
  "prompt": "[S1] Can you walk me through the setup process? [S2] Sure. Step one, install the CLI. It takes about thirty seconds. [S1] And then? [S2] Step two, run the login command. It will open your browser for authentication. [S1] That sounds simple. [S2] It is! Step three, you are ready to run your first app."
}'

Debate / Discussion

bash
belt app run falai/dia-tts --input '{
  "prompt": "[S1] I think we should go with option A. It is faster to implement. [S2] But option B scales better long-term. [S1] Sure, but we need something shipping this quarter. [S2] Fair point... what if we do A now with a migration path to B? [S1] That could work. Let us prototype it."
}'

Post-Production Tips

Volume Normalization

Both speakers should be at consistent volume. If one is louder:

bash
# Merge with balanced audio
belt app run infsh/video-audio-merger --input '{
  "video": "talking-head.mp4",
  "audio": "dialogue.mp3",
  "audio_volume": 1.0
}'

Adding Background/Music

bash
# Merge dialogue with background music
belt app run infsh/media-merger --input '{
  "media": ["dialogue.mp3", "background-music.mp3"]
}'

Segmenting Long Conversations

For conversations longer than ~30 seconds, generate in segments:

bash
# Segment 1: Introduction
belt app run falai/dia-tts --input '{
  "prompt": "[S1] Welcome back to another episode..."
}'

# Segment 2: Main content
belt app run falai/dia-tts --input '{
  "prompt": "[S1] So let us dive into today s topic..."
}'

# Segment 3: Wrap-up
belt app run falai/dia-tts --input '{
  "prompt": "[S1] Great conversation today..."
}'

# Merge all segments
belt app run infsh/media-merger --input '{
  "media": ["segment1.mp3", "segment2.mp3", "segment3.mp3"]
}'

Script Writing Tips

DoDon't
Write how people talkWrite how people write
Short sentences (< 15 words)Long academic sentences
Contractions ("can't", "won't")Formal ("cannot", "will not")
Natural fillers ("So,", "Well,")Every sentence perfectly formed
Vary sentence lengthAll sentences same length
Include reactions ("Exactly!", "Hmm.")One-sided monologues
Read it aloud before generatingAssume it sounds right

Common Mistakes

MistakeProblemFix
Monologues longer than 3 sentencesSounds like a lecture, not conversationBreak into exchanges
No emotional variationFlat, robotic deliveryUse punctuation and non-speech cues
Missing speaker tagsVoices don't alternateStart every turn with [S1] or [S2]
Formal written languageSounds unnatural spokenUse contractions, short sentences
No pauses between topicsFeels rushedUse ... or scene breaks
All same energy levelMonotonousVary between high/low energy moments

Related Skills

bash
# ElevenLabs dialogue (22+ voices, voice direction)
npx skills add inference-sh/skills@elevenlabs-dialogue

npx skills add inference-sh/skills@text-to-speech
npx skills add inference-sh/skills@ai-podcast-creation
npx skills add inference-sh/skills@ai-avatar-video

Browse all apps: belt app list

Frequently asked questions

What does the Dialogue Audio AI skill do?

Multi-speaker dialogue audio creation with ElevenLabs and Dia TTS. Covers speaker tags, emotion control, pacing, conversation flow, and post-production. Use for: podcasts, audiobooks, explainers, character dialogue, conversational content. Triggers: dialogue audio, multi speaker, conversation audio, dia tts, two speakers, podcast audio, character voices, voice acting, dialogue generation, conversation tts, multi voice, speaker tags, dialogue recording, elevenlabs dialogue, eleven labs conversation

Why use Dialogue Audio on TypingMind?

Because you install it once and use it with any model. Dialogue Audio is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dialogue Audio in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/101-skills/superpowers/tree/main/tools/audio/dialogue-audio. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Dialogue Audio?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dialogue Audio?

As many as you like. As long as a model supports skills, you can use Dialogue Audio with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dialogue Audio AI skill free?

It is published on GitHub by 101-skills. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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