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ElevenLabs API Skill Advanced
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install codedao12/elevenlabs-ai打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Provide a production-oriented guide for using ElevenLabs APIs via direct HTTPS (no SDK requirement), with clear auth, safety, and workflow guidance.
references/elevenlabs-authentication.md for API keys and single-use tokens.references/elevenlabs-text-to-speech.md for TTS endpoints and payloads.references/elevenlabs-speech-to-speech.md for voice conversion.references/elevenlabs-speech-to-text-realtime.md for realtime STT WebSocket.references/elevenlabs-text-to-dialogue.md for multi-voice dialogue output.references/elevenlabs-voices-models.md for voice IDs and model discovery.references/elevenlabs-safety-and-privacy.md for zero-retention and safety rules.这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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.md` for API keys and single-use tokens. - Read `references/elevenlabs-text-to-speech.md` for TTS endpoints and payloads. - Read `references/elevenlabs-speech-to-speech.md` for voice conversion. - Read `references/elevenlabs-speech-to-text-realtime.md` for realtime STT WebSocket. - Read `references/elevenlabs-text-to-dialogue.md` for multi-voice dialogue output. - Read `references/elevenlabs-voices-models.md` for voice IDs and model discovery. - Read `references/elevenlabs-safety-and-privacy.md` for 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.
Search and hire real humans for tasks — photography, delivery, research, and more
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