voicebox-voice-synthesis▌
aradotso/trending-skills · updated Apr 8, 2026
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Skill by ara.so — Daily 2026 Skills collection.
Voicebox Voice Synthesis Studio
Skill by ara.so — Daily 2026 Skills collection.
Voicebox is a local-first, open-source voice cloning and TTS studio — a self-hosted alternative to ElevenLabs. It runs entirely on your machine (macOS MLX/Metal, Windows/Linux CUDA, CPU fallback), exposes a REST API on localhost:17493, and ships with 5 TTS engines, 23 languages, post-processing effects, and a multi-track Stories editor.
Installation
Pre-built Binaries (Recommended)
| Platform | Link |
|---|---|
| macOS Apple Silicon | https://voicebox.sh/download/mac-arm |
| macOS Intel | https://voicebox.sh/download/mac-intel |
| Windows | https://voicebox.sh/download/windows |
| Docker | docker compose up |
Linux requires building from source: https://voicebox.sh/linux-install
Build from Source
Prerequisites: Bun, Rust, Python 3.11+, Tauri prerequisites
git clone https://github.com/jamiepine/voicebox.git
cd voicebox
# Install just task runner
brew install just # macOS
cargo install just # any platform
# Set up Python venv + all dependencies
just setup
# Start backend + desktop app in dev mode
just dev
# List all available commands
just --list
Architecture
| Layer | Technology |
|---|---|
| Desktop App | Tauri (Rust) |
| Frontend | React + TypeScript + Tailwind CSS |
| State | Zustand + React Query |
| Backend | FastAPI (Python) on port 17493 |
| TTS Engines | Qwen3-TTS, LuxTTS, Chatterbox, Chatterbox Turbo, TADA |
| Effects | Pedalboard (Spotify) |
| Transcription | Whisper / Whisper Turbo |
| Inference | MLX (Apple Silicon) / PyTorch (CUDA/ROCm/XPU/CPU) |
| Database | SQLite |
The Python FastAPI backend handles all ML inference. The Tauri Rust shell wraps the frontend and manages the backend process lifecycle. The API is accessible directly at http://localhost:17493 even when using the desktop app.
REST API Reference
Base URL: http://localhost:17493
Interactive docs: http://localhost:17493/docs
Generate Speech
# Basic generation
curl -X POST http://localhost:17493/generate \
-H "Content-Type: application/json" \
-d '{
"text": "Hello world, this is a voice clone.",
"profile_id": "abc123",
"language": "en"
}'
# With engine selection
curl -X POST http://localhost:17493/generate \
-H "Content-Type: application/json" \
-d '{
"text": "Speak slowly and with gravitas.",
"profile_id": "abc123",
"language": "en",
"engine": "qwen3-tts"
}'
# With paralinguistic tags (Chatterbox Turbo only)
curl -X POST http://localhost:17493/generate \
-H "Content-Type: application/json" \
-d '{
"text": "That is absolutely hilarious! [laugh] I cannot believe it.",
"profile_id": "abc123",
"engine": "chatterbox-turbo",
"language": "en"
}'
Voice Profiles
# List all profiles
curl http://localhost:17493/profiles
# Create a new profile
curl -X POST http://localhost:17493/profiles \
-H "Content-Type: application/json" \
-d '{
"name": "Narrator",
"language": "en",
"description": "Deep narrative voice"
}'
# Upload audio sample to a profile
curl -X POST http://localhost:17493/profiles/{profile_id}/samples \
-F "file=@/path/to/voice-sample.wav"
# Export a profile
curl http://localhost:17493/profiles/{profile_id}/export \
--output narrator-profile.zip
# Import a profile
curl -X POST http://localhost:17493/profiles/import \
-F "[email protected]"
Generation Queue & Status
# Get generation status (SSE stream)
curl -N http://localhost:17493/generate/{generation_id}/status
# List recent generations
curl http://localhost:17493/generations
# Retry a failed generation
curl -X POST http://localhost:17493/generations/{generation_id}/retry
# Download generated audio
curl http://localhost:17493/generations/{generation_id}/audio \
--output output.wav
Models
# List available models and download status
curl http://localhost:17493/models
# Unload a model from GPU memory (without deleting)
curl -X POST http://localhost:17493/models/{model_id}/unload
TypeScript/JavaScript Integration
Basic TTS Client
const VOICEBOX_URL = process.env.VOICEBOX_API_URL ?? "http://localhost:17493";
interface GenerateRequest {
text: string;
profile_id: string;
language?: string;
engine?: "qwen3-tts" | "luxtts" | "chatterbox" | "chatterbox-turbo" | "tada";
}
interface GenerateResponse {
generation_id: string;
status: "queued" | "processing" | "complete" | "failed";
audio_url?: string;
}
async function generateSpeech(req: GenerateRequest): Promise<GenerateResponse> {
const response = await fetch(`${VOICEBOX_URL}/generate`, {
method: "POST",
headers: { "Content-Type": "application/json" },
body: JSON.stringify(req),
});
if (!response.ok) {
throw new Error(`Voicebox API error: ${response.status} ${await response.text()}`);
}
return response.json();
}
// Usage
const result = await generateSpeech({
text: "Welcome to our application.",
profile_id: "abc123",
language: "en",
engine: "qwen3-tts",
});
console.log("Generation ID:", result.generation_id);
Poll for Completion
async function waitForGeneration(
generationId: string,
timeoutMs = 60_000
): Promise<string> {
const start = Date.now();
while (Date.now() - start < timeoutMs) {
const res = await fetch(`${VOICEBOX_URL}/generations/${generationIdhow to use voicebox-voice-synthesisHow to use voicebox-voice-synthesis on Cursor
AI-first code editor with Composer
1Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add voicebox-voice-synthesis
2Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
$npx skills add https://github.com/aradotso/trending-skills --skill voicebox-voice-synthesisThe skills CLI fetches voicebox-voice-synthesis from GitHub repository aradotso/trending-skills and configures it for Cursor.
3Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
◆ Which agents do you want to install to?││ ── Universal (.agents/skills) ── always included ────│ • Amp│ • Antigravity│ • Cline│ • Codex│ ●Cursor(selected)│ • Cursor│ • Windsurf4Verify installation
Confirm successful installation by checking the skill directory location:
.cursor/skills/voicebox-voice-synthesisReload or restart Cursor to activate voicebox-voice-synthesis. Access the skill through slash commands (e.g., /voicebox-voice-synthesis) or your agent's skill management interface.
⚠Security & Verification Notice
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
Additional Resources
List & Monetize Your Skill
Submit your Claude Code skill and start earning
GET_STARTED →Use Cases▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
✓Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
✓Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
general reviewsRatings
4.6★★★★★51 reviews- ★★★★★Aanya Jackson· Dec 28, 2024
Useful defaults in voicebox-voice-synthesis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Dhruvi Jain· Dec 24, 2024
We added voicebox-voice-synthesis from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Alexander Jackson· Dec 16, 2024
I recommend voicebox-voice-synthesis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aanya Park· Nov 19, 2024
I recommend voicebox-voice-synthesis for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Oshnikdeep· Nov 15, 2024
voicebox-voice-synthesis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Carlos Flores· Nov 7, 2024
Useful defaults in voicebox-voice-synthesis — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hassan Malhotra· Oct 26, 2024
voicebox-voice-synthesis has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Meera Perez· Oct 10, 2024
voicebox-voice-synthesis reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Ganesh Mohane· Oct 6, 2024
voicebox-voice-synthesis is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Aisha Khan· Sep 25, 2024
voicebox-voice-synthesis fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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