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Skills

Collections of Skills to assist building with ElevenLabs

Install / Use

/learn @elevenlabs/Skills
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

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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 | | agents | Build conversational voice AI agents | | sound-effects | Generate sound effects from text descriptions | | music | Generate music tracks using AI composition | | 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 Do not use npm install elevenlabs (that's an outdated v1.x package).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 (~10 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

View on GitHub
GitHub Stars155
CategoryDevelopment
Updated21h ago
Forks14

Languages

Python

Security Score

100/100

Audited on Apr 6, 2026

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