ElevenLabs Skills

Agent skills for ElevenLabs developer products. These skills follow the Agent Skills specification and can be used with any compatible AI coding assistant.

Installation

npx skills add elevenlabs/skills

Available Skills

Skill	Description
text-to-speech	Convert text to lifelike speech using ElevenLabs' AI voices
speech-to-text	Transcribe audio files to text with timestamps
speech-engine	Add real-time voice conversations to a custom LLM or chat agent
agents	Build conversational voice AI agents
sound-effects	Generate sound effects from text descriptions
music	Generate music tracks using AI composition
voice-changer	Transform the voice in an audio recording into a different target voice (speech-to-speech)
voice-isolator	Remove background noise and isolate vocals/speech from audio
setup-api-key	Guide through obtaining and configuring an ElevenLabs API key

Configuration

All skills require an ElevenLabs API key. Set it as an environment variable:

export ELEVENLABS_API_KEY="your-api-key"

Get your API key from the setup-api-key skill or use the ElevenLabs dashboard.

SDK Support

Most skills include examples for:

• Python - pip install elevenlabs
• JavaScript/TypeScript - npm install @elevenlabs/elevenlabs-js
• cURL - Direct REST API calls

JavaScript SDK Warning: Always use @elevenlabs/elevenlabs-js. Do not use npm install elevenlabs (that's an outdated v1.x package).

See the installation guide in any skill's references/ folder for complete setup instructions including migration from deprecated packages.

Evaluations

The evals/ directory contains trigger and functional evaluations for all skills.

# Run all evaluations (trigger + functional)
python3 evals/run_all.py -v

# Trigger evals only — tests if skills fire for the right queries (~3 min)
python3 evals/run_all.py --trigger-only -v

# Functional evals only — tests if skills produce correct output (~15 min)
python3 evals/run_all.py --functional-only -v

# Specific skills
python3 evals/run_all.py --skills text-to-speech agents -v

# Custom model (see `cursor-agent --list-models`)
python3 evals/run_all.py --model gpt-5.4-high -v

Results are saved to evals/results/<timestamp>/ with a report.md summary and results.json for programmatic access.

Functional evals use an isolated cursor-agent workspace per test case (under that results tree); they do not modify skill sources under each skill’s directory.

Requires the Cursor Agent CLI (cursor-agent on your PATH; override binary with CURSOR_AGENT) and Cursor authentication (cursor-agent login or CURSOR_API_KEY).

License

MIT