Individual skill
elevenlabs-performance-tuning
Optimize ElevenLabs TTS latency with model selection, streaming, caching, and audio format tuning. Use when experiencing slow TTS responses, implementing real-time voice features, or optimizing audio generation throughput. Trigger with "elevenlabs performance", "optimize elevenlabs", "elevenlabs latency", "elevenlabs slow", "fast TTS", "reduce elevenlabs latency", or "TTS streaming".
skills/.curated/elevenlabs-performance-tuning/SKILL.md
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- ai Repository topic
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- claude-code Repository topic
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SKILL.mdcore · 8,108 bytesreferences/implementation.mddoc · 6,588 bytes
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# ElevenLabs Performance Tuning
## Overview
Optimize ElevenLabs TTS latency and throughput through model selection, streaming strategies, audio format tuning, and caching. Latency ranges from ~75ms (Flash) to ~500ms (v3) depending on configuration.
The two highest-leverage, lowest-effort levers — model choice (Step 1) and output format (Step 2) — are documented inline below. The four deeper integrations (HTTP streaming, WebSocket streaming, caching, parallel generation) are summarized here with copy-ready code in [the full implementation walkthrough](references/implementation.md).
## Prerequisites
- ElevenLabs SDK installed (`@elevenlabs/elevenlabs-js`)
- An ElevenLabs API key exported as `ELEVENLABS_API_KEY` (used by the SDK and passed as `xi_api_key` on the WebSocket handshake)
- Understanding of your latency requirements
- Audio playback infrastructure (browser, mobile, server-side)
