What is the ElevenLabs Skills suite?
A first-party collection of seven Agent Skills that wrap the ElevenLabs developer platform behind a portable, framework-agnostic interface. Drop the suite into Claude Code, Cursor, or any agent that follows the Agent Skills specification, set your API key once, and your assistant can generate voice, transcribe audio, build conversational agents, and produce sound effects on demand.
What's included
- text-to-speech — turn written content into lifelike speech across thousands of voices and 70+ languages
- speech-to-text — transcribe audio with precise timestamp metadata
- agents — build interactive voice AI agents capable of natural, low-latency conversation
- sound-effects — generate audio effects from text descriptions (footsteps, ambience, explosions)
- music — produce original musical compositions from prompts
- voice-isolator — remove background noise while preserving the speaker's voice
- setup-api-key — guided onboarding to acquire and configure ELEVENLABS_API_KEY
Why it matters
Audio AI used to mean stitching together a TTS provider, an STT provider, a music model, and a noise-reduction step — each with its own SDK, billing, and edge cases. The ElevenLabs Skills bundle collapses all of that into a single agent-callable layer. Your AI coding assistant decides which skill to invoke based on the task ("read this script aloud", "transcribe this meeting", "make a 30s loop of forest ambience") and the skill handles the API call, file IO, and parameter selection.
Tech stack & integrations
- Python, JavaScript/TypeScript, and cURL implementations
- Uses the modern
@elevenlabs/elevenlabs-js
SDK (the older elevenlabs
package is deprecated)
- Includes an
evals/
directory for trigger and functional testing via Cursor Agent CLI
- MIT licensed
Why agents need skills, not raw SDKs
A skill tells the agent when to call something, what parameters matter, and how to recover from errors — not just how. ElevenLabs publishing their own Agent Skills means your assistant gets first-party guidance instead of guessing from outdated training data.
