elevenlabs-ai
OpenClaw skill for ElevenLabs APIs: text-to-speech, speech-to-speech, realtime speech-to-text, voices/models, and dialogue workflows.
Install
mkdir -p .claude/skills/elevenlabs-ai && curl -L -o skill.zip "https://mcp.directory/api/skills/download/1814" && unzip -o skill.zip -d .claude/skills/elevenlabs-ai && rm skill.zipInstalls to .claude/skills/elevenlabs-ai
About this skill
ElevenLabs API Skill (Advanced)
Purpose
Provide a production-oriented guide for using ElevenLabs APIs via direct HTTPS (no SDK requirement), with clear auth, safety, and workflow guidance.
Best fit
- You need text-to-speech or speech-to-speech conversion.
- You want realtime speech-to-text with low latency.
- You prefer direct HTTP calls with predictable outputs.
Not a fit
- You require a full SDK integration and helpers.
- You need full conversational agents beyond audio I/O.
Quick orientation
- Read
references/elevenlabs-authentication.mdfor API keys and single-use tokens. - Read
references/elevenlabs-text-to-speech.mdfor TTS endpoints and payloads. - Read
references/elevenlabs-speech-to-speech.mdfor voice conversion. - Read
references/elevenlabs-speech-to-text-realtime.mdfor realtime STT WebSocket. - Read
references/elevenlabs-text-to-dialogue.mdfor multi-voice dialogue output. - Read
references/elevenlabs-voices-models.mdfor voice IDs and model discovery. - Read
references/elevenlabs-safety-and-privacy.mdfor zero-retention and safety rules.
Required inputs
- API key (xi-api-key) or a single-use token when needed.
- Voice IDs and model IDs for your target use case.
- Output format choice (audio codec/sample rate/bitrate).
Expected output
- A clear workflow plan, endpoint checklist, and operational guardrails.
Operational notes
- Keep a strict allowlist for downstream destinations of audio output.
- Cache voice IDs and model IDs server-side.
- Keep payloads small and retry with backoff on throttling.
Security notes
- Never log API keys or tokens.
- Use single-use tokens for client-side access.
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