moodcast

Transform any text into emotionally expressive audio with ambient soundscapes using ElevenLabs v3 audio tags and Sound Effects API

3,891 stars

Best use case

moodcast is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Transform any text into emotionally expressive audio with ambient soundscapes using ElevenLabs v3 audio tags and Sound Effects API

Teams using moodcast should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/moodcast/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/ashutosh887/moodcast/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/moodcast/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How moodcast Compares

Feature / AgentmoodcastStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Transform any text into emotionally expressive audio with ambient soundscapes using ElevenLabs v3 audio tags and Sound Effects API

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# MoodCast

Transform any text into emotionally expressive audio with ambient soundscapes. MoodCast analyzes your content, adds expressive delivery using ElevenLabs v3 audio tags, and layers matching ambient soundscapes.

## When to Use This Skill

Use MoodCast when the user wants to:
- Hear text read with natural emotional expression
- Create audio versions of articles, stories, or scripts
- Generate expressive voiceovers with ambient atmosphere
- Listen to morning briefings that actually sound engaging
- Transform boring text into captivating audio content

**Trigger phrases:** "read this dramatically", "make this sound good", "create audio for", "moodcast this", "read with emotion", "narrate this"

**Slash command:** `/moodcast`

## Core Capabilities

### 1. Emotion-Aware Text Enhancement
Automatically analyzes text and inserts appropriate v3 audio tags:
- **Emotions:** `[excited]`, `[nervous]`, `[angry]`, `[sorrowful]`, `[calm]`, `[happy]`
- **Delivery:** `[whispers]`, `[shouts]`, `[rushed]`, `[slows down]`
- **Reactions:** `[laughs]`, `[sighs]`, `[gasps]`, `[giggles]`, `[crying]`
- **Pacing:** `[pause]`, `[breathes]`, `[stammers]`, `[hesitates]`

### 2. Ambient Soundscape Generation
Creates matching background audio using Sound Effects API:
- News → subtle office ambiance
- Story → atmospheric soundscape matching mood
- Motivational → uplifting background
- Scary → tense, eerie atmosphere

### 3. Multi-Voice Dialogue
For conversations/scripts, assigns different voices to speakers with appropriate emotional delivery.

## Instructions

### Quick Read (Single Command)
```bash
python3 {baseDir}/scripts/moodcast.py --text "Your text here"
```

### With Ambient Sound
```bash
python3 {baseDir}/scripts/moodcast.py --text "Your text here" --ambient "coffee shop background noise"
```

### Save to File
```bash
python3 {baseDir}/scripts/moodcast.py --text "Your text here" --output story.mp3
```

### Different Moods
```bash
python3 {baseDir}/scripts/moodcast.py --text "Your text" --mood dramatic
python3 {baseDir}/scripts/moodcast.py --text "Your text" --mood calm
python3 {baseDir}/scripts/moodcast.py --text "Your text" --mood excited
python3 {baseDir}/scripts/moodcast.py --text "Your text" --mood scary
```

### List Available Voices
```bash
python3 {baseDir}/scripts/moodcast.py --list-voices
```

### Custom Configuration
```bash
python3 {baseDir}/scripts/moodcast.py --text "Your text" --voice VOICE_ID --model eleven_v3 --output-format mp3_44100_128
```

## Emotion Detection Rules

The skill automatically detects and enhances:

| Text Pattern | Audio Tag Added |
|-------------|-----------------|
| "amazing", "incredible", "wow" | `[excited]` |
| "scared", "afraid", "terrified" | `[nervous]` |
| "angry", "furious", "hate" | `[angry]` |
| "sad", "sorry", "unfortunately" | `[sorrowful]` |
| "secret", "quiet", "between us" | `[whispers]` |
| "!" exclamations | `[excited]` |
| "..." trailing off | `[pause]` |
| "haha", "lol" | `[laughs]` |
| Questions | Natural rising intonation |

## Example Transformations

**Input:**
```
Breaking news! Scientists have discovered something incredible. 
This could change everything we know about the universe...
I can't believe it.
```

**Enhanced Output:**
```
[excited] Breaking news! Scientists have discovered something incredible.
[pause] This could change everything we know about the universe...
[gasps] [whispers] I can't believe it.
```

**Input:**
```
It was a dark night. The old house creaked. 
Something moved in the shadows...
"Who's there?" she whispered.
```

**Enhanced Output:**
```
[slows down] It was a dark night. [pause] The old house creaked.
[nervous] Something moved in the shadows...
[whispers] "Who's there?" she whispered.
```

## Environment Variables

- `ELEVENLABS_API_KEY` (required) - Your ElevenLabs API key
- `MOODCAST_DEFAULT_VOICE` (optional) - Default voice ID (defaults to `CwhRBWXzGAHq8TQ4Fs17`)
- `MOODCAST_MODEL` (optional) - Default model ID (defaults to `eleven_v3`)
- `MOODCAST_OUTPUT_FORMAT` (optional) - Default output format (defaults to `mp3_44100_128`)
- `MOODCAST_AUTO_AMBIENT` (optional) - Set to `"true"` for automatic ambient sounds when using `--mood`

**Configuration Priority:** CLI arguments override environment variables, which override hardcoded defaults.

## Technical Notes

- Uses ElevenLabs Eleven v3 model for audio tag support
- Sound Effects API for ambient generation (up to 30 seconds)
- Free tier: 10,000 credits/month (~10 min audio)
- Max 2,400 characters per chunk (v3 supports 5,000, but we split conservatively for reliability)
- Audio tags must be lowercase: `[whispers]` not `[WHISPERS]`

## Tips for Best Results

1. **Dramatic content** works best - stories, news, scripts
2. **Shorter segments** (under 500 chars) sound more natural
3. **Combine with ambient** for immersive experience
4. **Roger and Rachel** voices are most expressive with v3

## Credits

Built by [ashutosh887](https://github.com/ashutosh887)  
Using ElevenLabs Text-to-Speech v3 + Sound Effects API  
Created for #ClawdEleven Hackathon

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