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liveavatar-debug实时头像调试

Agent Skill

liveavatar-debug 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

2,922

周安装

123

GitHub Stars

1

下载量

1,023
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:liveavatar-debug(实时头像调试)
来源仓库:https://github.com/heygen-com/liveavatar-agent-skills
仓库路径:skills/liveavatar-debug
安装命令:
npx skills add https://github.com/heygen-com/liveavatar-agent-skills --skill liveavatar-debug
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/heygen-com/liveavatar-agent-skills --skill liveavatar-debug

简介

liveavatar-debug 用于查找、检索和筛选相关信息。

  • 适合根据关键词或任务场景快速定位候选结果。
  • 通过 npx skills add 命令从 GitHub 仓库安装使用。
  • 安装前应确认权限范围、维护状态及是否涉及联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

LiveAvatar Debugging Guide

Symptom-based troubleshooting for LiveAvatar integrations. Find your symptom below and follow the fix.

Avatar is silent / not responding to speech

Most likely: Missing context_id in FULL Mode.

Without a context_id, the avatar enters restricted mode — streams video but ignores user input. No error thrown.

Fix: Create a context via POST /v1/contexts with at least a prompt field. Include the returned context_id in your session token's avatar_persona.

Other causes:

  • Browser mic permissions blocked (check allow="microphone" on iframe)
  • Push-to-Talk enabled but PTT events not being sent
  • OS-level mic mute

Audio is garbled or distorted (LITE Mode)

Most likely: Wrong audio format.

Required: PCM 16-bit signed, 24KHz, base64. No error returned for wrong format.

Checklist:

  • Sample rate is exactly 24,000 Hz
  • Raw PCM (no WAV/MP3/OGG headers)
  • 16-bit signed, not 8-bit or 32-bit float
  • Base64 encoded
  • Chunks under 1MB

Quick test: Send a known-good 440Hz test tone. If it works but your TTS doesn't, resample your TTS output.

401 error / session fails to start

Most likely: Wrong auth header.

EndpointCorrect auth
POST /v1/sessions/tokenX-API-KEY: <api_key>
POST /v1/sessions/startAuthorization: Bearer <session_token>

Common mistakes: using API key on /start, using Bearer token on /token, putting API key in Bearer format.

Events not received (FULL Mode)

  • Subscribed to correct topics? Send to agent-control, receive from agent-response
  • LiveKit room connected? Check connection state
  • Parsing JSON correctly? Events have event_type, event_id, session_id

WebSocket events silently dropped (LITE Mode)

Most likely: Sending before connected.

Wait for {"type": "session.state_updated", "state": "connected"} before sending any commands.

Also check:

  • Using correct event names? LITE uses agent.*, not avatar.* (that's FULL)
  • WebSocket still open? 5-min inactivity timeout

Session times out

5 minutes of inactivity kills the session.

  • FULL: POST /v1/sessions/keep-alive with Bearer <session_token>
  • LITE: {"type": "session.keep_alive", "event_id": "..."} via WebSocket

Send every 2-3 minutes.

Sandbox won't start

  • is_sandbox: true set in session token
  • Avatar ID is dd73ea75-1218-4ef3-92ce-606d5f7fbc0a (sessions) or 65f9e3c9-d48b-4118-b73a-4ae2e3cbb8f0 (embeds)
  • Not using a different avatar with sandbox mode

~1 minute auto-termination is expected behavior.

Image avatar fails / no audio

Image avatars have no auto-generated voice. Specify voice_id in avatar_persona. Browse voices at GET /v1/voices.

Custom LLM / TTS not working

LLM checklist:

  • Secret: secret_type: "LLM_API_KEY"
  • Config: correct model, secret_id, base_url
  • llm_configuration_id in session token
  • Endpoint supports OpenAI /chat/completions protocol

TTS checklist:

  • Secret: secret_type: "ELEVENLABS_API_KEY"
  • Voice imported via POST /v1/voices/third_party
  • Using the returned LiveAvatar voice_id (not the ElevenLabs ID)

CORS / network errors

  • API calls should come from backend, not browser
  • Allow outbound wss:// for LiveKit and WebSocket
  • Allow *.livekit.cloud, api.liveavatar.com, embed.liveavatar.com

General approach

  1. Start with sandbox mode to eliminate billing issues
  2. Check session state: GET /v1/sessions/{id}
  3. Check transcript: GET /v1/sessions/{id}/transcript
  4. Check credits: GET /v1/users/credits
  5. Verify you're not mixing FULL and LITE event systems

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.82%
按下载量换算366

Claude

29.01%
按下载量换算297

Cursor

17.14%
按下载量换算175

Gemini CLI

9.23%
按下载量换算94

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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