Generate AI sound effects from text descriptions with ElevenLabs via inference.sh CLI. Capabilities: text-to-sound-effect, custom duration, royalty-free audio. Use for: video production, game audio, podcasts, films, presentations, social media. Triggers: sound effects, sfx, sound generation, ai sound effects, generate sound, foley, audio effects, sound design, text to sound, elevenlabs sound, eleven labs sfx, ambient sound, cinematic sound, game sound effects
Install with the open skills CLI (global, non-interactive — available in every Claude Code session):
npx skills add 101-skills/skills --skill "elevenlabs-sound-effects" -g -a claude-code -yOr manually — copy the SKILL.md below into:
~/.claude/skills/elevenlabs-sound-effects/SKILL.md---
name: elevenlabs-sound-effects
description: "Generate AI sound effects from text descriptions with ElevenLabs via inference.sh CLI. Capabilities: text-to-sound-effect, custom duration, royalty-free audio. Use for: video production, game audio, podcasts, films, presentations, social media. Triggers: sound effects, sfx, sound generation, ai sound effects, generate sound, foley, audio effects, sound design, text to sound, elevenlabs sound, eleven labs sfx, ambient sound, cinematic sound, game sound effects"
allowed-tools: Bash(belt *)
---
> **Install the belt CLI skill:** `npx skills add belt-sh/cli`
# ElevenLabs Sound Effects
Generate sound effects from text descriptions via [inference.sh](https://inference.sh) CLI.

## Quick Start
> Requires inference.sh CLI (`belt`). [Install instructions](https://raw.githubusercontent.com/inference-sh/skills/refs/heads/main/cli-install.md)
```bash
belt login
# Generate a sound effect
belt app run elevenlabs/sound-effects --input '{"text": "Thunder rumbling in the distance"}'
```
## Parameters
| Parameter | Type | Description |
|-----------|------|-------------|
| `text` | string | Description of the sound effect (max 1000 chars) |
| `duration_seconds` | number | Duration 0.5-22 seconds (optional, auto if omitted) |
| `prompt_influence` | number | 0-1, how literal to interpret prompt (default: 0.3) |
## Examples
### Cinematic Effects
```bash
# Epic trailer hit
belt app run elevenlabs/sound-effects --input '{"text": "Cinematic braam, deep bass impact"}'
# Suspense drone
belt app run elevenlabs/sound-effects --input '{
"text": "Dark atmospheric drone, tension building, horror",
"duration_seconds": 10
}'
# Whoosh transition
belt app run elevenlabs/sound-effects --input '{
"text": "Fast cinematic whoosh transition",
"duration_seconds": 1.5
}'
```
### Nature & Environment
```bash
# Rain
belt app run elevenlabs/sound-effects --input '{
"text": "Heavy rain on a tin roof with occasional thunder",
"duration_seconds": 15
}'
# Forest ambience
belt app run elevenlabs/sound-effects --input '{
"text": "Forest ambience with birds chirping and gentle wind",
"duration_seconds": 20
}'
# Ocean waves
belt app run elevenlabs/sound-effects --input '{
"text": "Ocean waves crashing on a beach, calming",
"duration_seconds": 15
}'
```
### Game Audio
```bash
# Power-up
belt app run elevenlabs/sound-effects --input '{
"text": "Retro game power-up sound, ascending tones",
"duration_seconds": 1
}'
# Explosion
belt app run elevenlabs/sound-effects --input '{
"text": "Sci-fi laser explosion, futuristic",
"duration_seconds": 3
}'
# UI click
belt app run elevenlabs/sound-effects --input '{
"text": "Soft UI button click, subtle and clean",
"duration_seconds": 0.5
}'
```
### Everyday Sounds
```bash
# Doorbell
belt app run elevenlabs/sound-effects --input '{"text": "Classic doorbell ring"}'
# Typing
belt app run elevenlabs/sound-effects --input '{
"text": "Mechanical keyboard typing, fast, clicky",
"duration_seconds": 5
}'
# Notification
belt app run elevenlabs/sound-effects --input '{
"text": "Pleasant notification chime, positive",
"duration_seconds": 1
}'
```
## Prompt Influence
Control how literally the model interprets your description:
| Value | Effect | Best For |
|-------|--------|----------|
| 0.0 | Very loose interpretation | Creative, surprising results |
| 0.3 | Balanced (default) | General purpose |
| 0.7 | Close to description | Specific sound needs |
| 1.0 | Very literal | Exact sound reproduction |
```bash
# Loose interpretation - creative result
belt app run elevenlabs/sound-effects --input '{
"text": "Magical fairy dust sparkle",
"prompt_influence": 0.1
}'
# Literal interpretation - precise result
belt app run elevenlabs/sound-effects --input '{
"text": "Single gunshot, pistol, indoor range",
"prompt_influence": 0.8
}'
```
## Prompt Tips
**Be specific**: "Heavy rain on metal roof" > "rain sound"
**Include context**: "Footsteps on gravel, slow walking pace" > "footsteps"
**Describe mood**: "Eerie wind howling through abandoned building" > "wind"
**Specify material**: "Glass shattering on concrete floor" > "breaking glass"
## Workflow: Add SFX to Video
```bash
# 1. Generate sound effect
belt app run elevenlabs/sound-effects --input '{
"text": "Dramatic reveal swoosh with bass drop",
"duration_seconds": 2
}' > sfx.json
# 2. Merge with video
belt app run infsh/media-merger --input '{
"media": ["video.mp4", "<sfx-url>"]
}'
```
## Use Cases
- **Video Production**: Transitions, impacts, ambience
- **Game Development**: UI sounds, effects, environments
- **Podcasts**: Stingers, transitions, atmosphere
- **Film/Animation**: Foley, ambience, scoring elements
- **Presentations**: Attention-grabbing sound cues
- **Social Media**: Short-form content audio
## Related Skills
```bash
# ElevenLabs music generation
npx skills add inference-sh/skills@elevenlabs-music
# ElevenLabs TTS (combine voice with effects)
npx skills add inference-sh/skills@elevenlabs-tts
# AI music generation (Diffrythm, Tencent)
npx skills add inference-sh/skills@ai-music-generation
# Full platform skill (all apps)
npx skills add inference-sh/skills@infsh-cli
```
Browse all audio apps: `belt app store --category audio`
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Roleplay the most difficult, tech-resistant user for your product. Browse the app as that persona, find every UX pain point, then filter complaints through a pragmatism layer to separate real problems from noise. Creates actionable tickets from genuine issues only.
ASCII video: convert video/audio to colored ASCII MP4/GIF.