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avatar-video头像视频

Agent Skill

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。

总安装

23,856

周安装

994

GitHub Stars

196

下载量

7,952
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:avatar-video(头像视频)
来源仓库:https://github.com/heygen-com/skills
仓库路径:skills/avatar-video
安装命令:
npx skills add https://github.com/heygen-com/skills --skill avatar-video
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/skills --skill avatar-video

简介

用于辅助视频生成、动画合成、脚本化剪辑或 Remotion 等视频项目开发。

  • 它适合让 Agent 组织镜头、生成素材说明、维护合成代码或排查渲染问题。
  • 使用时需要确认分辨率、时长、素材路径和导出格式;涉及外部素材、人物肖像或商业发布时,应先核对版权授权和内容审核要求。
  • 安装方式:github;适用宿主:Codex、Claude、Cursor、Gemini CLI。
  • avatar-video 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Avatar Video

Create AI avatar videos with full control over avatars, voices, scripts, and backgrounds using POST /v3/videos. Two creation modes via discriminated union on type:

  • "type": "avatar" + avatar_id — use a HeyGen avatar from the library
  • "type": "image" + image (AssetInput) — animate any photo via Avatar IV

Authentication

All requests require the X-Api-Key header. Set the HEYGEN_API_KEY environment variable.

curl -X GET "https://api.heygen.com/v3/avatars" \
  -H "X-Api-Key: $HEYGEN_API_KEY"

Tool Selection

If HeyGen MCP tools are available (mcp__heygen__*), prefer them over direct HTTP API calls — they handle authentication and request formatting automatically.

TaskMCP ToolFallback (Direct API)
Check video status / get URLmcp__heygen__get_videoGET /v3/videos/{video_id}
List account videosmcp__heygen__list_videosGET /v3/videos
Delete a videomcp__heygen__delete_videoDELETE /v3/videos/{video_id}

Video generation (POST /v3/videos) and avatar/voice listing are done via direct API calls — see reference files below.

Default Workflow

  1. List avatar looksGET /v3/avatars/looks → pick a look, note its id (this is the avatar_id) and default_voice_id. See avatars.md
  2. List voices (if needed) — GET /v3/voices → pick a voice matching the avatar's gender/language. See voices.md
  3. Write the script — Structure scenes with one concept each. See scripts.md
  4. Generate the videoPOST /v3/videos with avatar_id, voice_id, script, and optional background per scene. See video-generation.md
  5. Poll for completionGET /v3/videos/{video_id} until status is completed. See video-status.md

Routing: This Skill vs Create Video

This skill = precise control (specific avatar, exact script, custom background). create-video = prompt-based ("make me a video about X", AI handles the rest).

Reference Files

Read these as needed — they contain endpoint details, request/response schemas, and code examples (curl, TypeScript, Python).

Core workflow:

Customization:

Advanced:

Best Practices

  1. Preview avatars before generating — Use GET /v3/avatars/looks and download preview_image_url so the user can see the avatar before committing
  2. Use avatar's default voice — Most avatars have a default_voice_id pre-matched for natural results
  3. Fallback: match gender manually — If no default voice, ensure avatar and voice genders match
  4. Use test mode for development — Set test: true to avoid consuming credits (output will be watermarked)
  5. Set generous timeouts — Video generation often takes 5-15 minutes, sometimes longer
  6. Validate inputs — Check avatar and voice IDs exist before generating

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

Claude

33.04%
按下载量换算2,627

Codex

32.52%
按下载量换算2,586

Cursor

20.33%
按下载量换算1,617

Gemini CLI

10.23%
按下载量换算813

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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