Video Messages from your openclaw Skill Install & Guide
io.clawhub.thewulf7/avatar-video-messages · v0.1.2
Generate and send video messages with a lip-syncing VRM avatar. Use when user asks for video message, avatar video, video reply, or when TTS should be delivered as video instead of audio.
Copy the install config on this page first, then verify docs and permissions upstream.
Popularity
Overview
Generate and send video messages with a lip-syncing VRM avatar. Use when user asks for video message, avatar video, video reply, or when TTS should be delivered as video instead of audio. Video Messages from your openclaw is a Agent Skill listed from ClawHub. This page includes an overview, setup tutorial, install commands, and use cases for Trae, Tongyi Lingma, Cursor, Claude Code, and VS Code.
AgentHub Verified AvailabilityTested & Ready
Automated pipeline validated install commands, protocol & client compatibility
Send this prompt to your AI to install the Skill
RecommendedFollow the install guide at https://myagenthub.cn/install/skill.md?lang=en to automatically detect the current IDE and install the skill "thewulf7/avatar-video-messages" without asking, and tell me how to verify it afterwards.
💡Paste into your AI coding assistant (Cursor, Trae, Claude Code) — the agent will handle download and configuration automatically.
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Choose your platform
Choose install method
# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai cursor -ySetup tutorial
- Open the Video Messages from your openclaw page and confirm the source is ClawHub.
- Copy the install command for Trae, Lingma, Cursor, Claude Code, or universal CLI.
- Run it, or place SKILL.md under .trae/skills/, .lingma/skills/, or .cursor/skills/.
- Reload the client, then describe your task so the agent can match this skill.
Install commands
Install commands and setup steps are in the HTML so search engines and no-JS browsers can read them without running client JavaScript.
Universal — Skills CLI (recommended)
AgentHub CLI (change --ai)
# 改 --ai 切换客户端：trae | lingma | workbuddy | kimi | qwen | cursor | claude-code | windsurf | cline | vscode | codex | openclaw
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai cursor -yOne-click API download
# 手动下载（Cursor 项目级示例）
mkdir -p .cursor/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d .cursor/skills/avatar-video-messagesCursor
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai cursor -yOne-click API download
mkdir -p .cursor/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d .cursor/skills/avatar-video-messagesClawHub CLI, then copy
# 在项目根目录执行 install
clawhub install thewulf7/avatar-video-messages
mkdir -p .cursor/skills/avatar-video-messages
cp -R ./skills/avatar-video-messages/. .cursor/skills/avatar-video-messages/
# 源：./skills/avatar-video-messages/SKILL.md
# 目标：.cursor/skills/avatar-video-messages/SKILL.mdTrae (ByteDance)
- Trae natively supports Skill specs: project-level in .trae/skills/<name>/, global in ~/.trae/skills/
- Copy and run the command in your project terminal to download SKILL.md
- Reload Trae window, then describe your task in AI chat to activate automatically
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai trae -yOne-click API download
mkdir -p .trae/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d .trae/skills/avatar-video-messagesUser directory
mkdir -p ~/.trae/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d ~/.trae/skills/avatar-video-messagesTongyi Lingma (Alibaba)
- Tongyi Lingma supports skills in project .lingma/skills/<name>/ or global ~/.lingma/skills/
- Run the command to install SKILL.md
- In Lingma Agent mode, prompt your task and the skill will be automatically loaded
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai lingma -yOne-click API download
mkdir -p .lingma/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d .lingma/skills/avatar-video-messagesUser directory
mkdir -p ~/.lingma/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d ~/.lingma/skills/avatar-video-messagesWorkBuddy / CodeBuddy (Tencent)
- WorkBuddy reads skills only from .workbuddy/skills/<name>/ (user-level ~/.workbuddy/skills/); .codebuddy/skills/ belongs to CodeBuddy
- The Skills CLI command installs with -a codebuddy and appends a copy step into .workbuddy/skills
- AgentHub CLI (--ai workbuddy) syncs it for you; reload the chat panel so the skill gets indexed
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai workbuddy -yOne-click API download
mkdir -p .workbuddy/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d .workbuddy/skills/avatar-video-messagesUser directory
mkdir -p ~/.workbuddy/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d ~/.workbuddy/skills/avatar-video-messagesClaude Code
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai claude-code --global -yOne-click API download
mkdir -p ~/.claude/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d ~/.claude/skills/avatar-video-messagesClawHub CLI, then copy
clawhub install thewulf7/avatar-video-messages
mkdir -p ~/.claude/skills/avatar-video-messages
cp -R ./skills/avatar-video-messages/. ~/.claude/skills/avatar-video-messages/
# 源：./skills/avatar-video-messages/SKILL.md
# 目标：~/.claude/skills/avatar-video-messages/SKILL.md
# https://clawhub.ai/thewulf7/avatar-video-messagesKimi Code (Moonshot AI)
- Kimi Code supports standard Agent Skills: project-level in .agents/skills/<name>/, global in ~/.agents/skills/
- Run the command to install
- In Kimi Code CLI, describe your task to trigger the skill
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai kimi -yOne-click API download
mkdir -p .agents/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d .agents/skills/avatar-video-messagesUser directory
mkdir -p ~/.agents/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d ~/.agents/skills/avatar-video-messagesQwen Code (Alibaba)
- Qwen Code supports project .qwen/skills/<name>/ and global ~/.qwen/skills/
- Run the command to deploy SKILL.md
- Prompt the agent to trigger the skill
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai qwen -yOne-click API download
mkdir -p .qwen/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d .qwen/skills/avatar-video-messagesUser directory
mkdir -p ~/.qwen/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d ~/.qwen/skills/avatar-video-messagesWindsurf
- Windsurf supports project-level .windsurf/skills/<name>/ or global ~/.codeium/windsurf/skills/
- Run the install command and refresh Cascade
- Cascade will auto-activate the skill based on its description
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai windsurf -yOne-click API download
mkdir -p .windsurf/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d .windsurf/skills/avatar-video-messagesUser directory
mkdir -p ~/.codeium/windsurf/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d ~/.codeium/windsurf/skills/avatar-video-messagesCline
- Cline supports standard .agents/skills/<name>/ structure
- Run the command to install the skill
- Ask questions in the Cline panel to trigger the skill
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai cline -yOne-click API download
mkdir -p .agents/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d .agents/skills/avatar-video-messagesCherry Studio
- Use this skill as an Assistant system prompt in Cherry Studio
- Copy the command to view SKILL.md text
- Paste the contents into Cherry Studio Assistant system prompt
# 下载并提取 SKILL.md 指令内容
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -p /tmp/avatar-video-messages.zip SKILL.md
# 复制上述输出，粘贴至 Cherry Studio → 助手设置 →「系统提示词」VS Code / GitHub Copilot
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai vscode -yOne-click API download
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
mkdir -p .github/skills/avatar-video-messages
unzip -o /tmp/avatar-video-messages.zip -d .github/skills/avatar-video-messagesOpenAI Codex
AgentHub CLI (change --ai)
curl -fsSL "https://myagenthub.cn/cli/agenthub-skill.mjs" | node --input-type=module - init thewulf7/avatar-video-messages --ai codex --global -yOne-click API download
mkdir -p ~/.codex/skills/avatar-video-messages
curl -sL "https://clawhub.ai/api/v1/download?slug=avatar-video-messages&version=0.1.2" -o /tmp/avatar-video-messages.zip
unzip -o /tmp/avatar-video-messages.zip -d ~/.codex/skills/avatar-video-messagesClawHub CLI, then copy
clawhub install thewulf7/avatar-video-messages
mkdir -p ~/.codex/skills/avatar-video-messages
cp -R ./skills/avatar-video-messages/. ~/.codex/skills/avatar-video-messages/
# 源：./skills/avatar-video-messages/SKILL.md
# 目标：~/.codex/skills/avatar-video-messages/SKILL.mdOpenClaw — ClawHub CLI
# OpenClaw / ClawHub CLI（推荐）
# 在项目根或 OpenClaw 工作区目录执行
clawhub install thewulf7/avatar-video-messages
# 安装后 SKILL.md 位于：
# ./skills/avatar-video-messages/SKILL.md
# （若已配置 OpenClaw 工作区，则在 <workspace>/skills/avatar-video-messages/）
# 仅查看不安装
clawhub inspect thewulf7/avatar-video-messagesTroubleshooting & Common ErrorsFAQ
Common connection errors and verified fixes for Video Messages from your openclaw
Getting 'connection closed' or exit code 1 in Cursor / Claude Code for Video Messages from your openclaw?
Usually caused by missing runtime paths or IDE environment inheritance. Fix steps: 1. Verify Node.js 18+ (npx) or Python 3.10+ (uvx) is installed; 2. Run 'which npx' or 'which uvx' in terminal, and replace 'command' with absolute path; 3. Reload or restart the client window after modifying config.
# Check binary path in terminal: which npx node -v
Getting 'spawn npx ENOENT' or 'command not found'?
The editor background process does not inherit your full terminal PATH. Solution: Globally install the package, or set the absolute binary path (e.g. C:\Program Files\nodejs\npx.cmd on Windows, or /usr/local/bin/npx on macOS).
Tool calls timing out or failing to download packages?
First-time package downloading might be slow or timeout due to network limits. Configure a reliable mirror or check outbound proxy settings.
Agent does not match or apply Video Messages from your openclaw during conversations?
Verify SKILL.md is located at .cursor/skills/Video Messages from your openclaw/SKILL.md (Cursor) or ~/.claude/skills/Video Messages from your openclaw/SKILL.md (Claude Code). You can explicitly mention the skill name in your prompt to boost match confidence.
Tool Mock Playground
SandboxVideo Messages from your openclaw Rule Injection & Agent Behavior Simulation · Preview tool schema & outputs without local runtime
{
"skill": "Video Messages from your openclaw",
"rulePath": ".cursor/skills/video-messages-from-your-openclaw/SKILL.md",
"userGoal": "请使用 Video Messages from your openclaw 的方法与标准帮我完成当前任务",
"client": "Cursor / Claude Code"
}Click 'Run Mock' above
to preview the raw response returned to the LLM
Decision Guide: Why & When to Use
Assess suitability before installing to save trial-and-error time
- When your AI Agent needs tool calling capabilities in this domain
- Automating repetitive workflows in your IDE or terminal
- Pairing with modern clients supporting MCP/Skill standards
- When missing required API secrets or local runtime prerequisites
- Pure conversational requests that don't need external system access
Video Messages from your openclaw + Scenario Prompt → Complete Agent Automation
Skill hands-on: install to visible results
Follow the full lab (expected UI/output + contrast checks). After installing this item, verify with the tutorial prompts.
An Agent Skill is a folder with SKILL.md instructions. After install, the AI loads it automatically when your task matches its description.
How to use
After installing, describe your task in chat (or mention the skill name). The agent reads the skill description to decide when to activate it, then follows the instructions in SKILL.md. Check loaded skills via /skills in Claude Code or in your client settings.
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Keep exploring AgentHub
Most people compare similar tools or check scenario guides before installing—start here.
Listing badge: put AgentHub on your site
Copy either snippet into your project homepage, docs, or GitHub README. The badge is a hotlinked SVG — nothing to host — and it links back to this page so visitors can find the install steps.
<a href="https://myagenthub.cn/p/io.clawhub.thewulf7/avatar-video-messages" title="Listed on AgentHub: Video Messages from your openclaw" target="_blank" rel="noopener">
<img src="https://myagenthub.cn/badge/io.clawhub.thewulf7/avatar-video-messages?lang=en" alt="Listed on AgentHub: Video Messages from your openclaw" height="20" style="border:0"/>
</a>[](https://myagenthub.cn/p/io.clawhub.thewulf7/avatar-video-messages)Badges are generated on the fly from /badge/<package-id>, so name and listing changes propagate automatically. Keep the link target unchanged — it is what counts as the referral.
Unified Manifest
{
"id": "io.clawhub.thewulf7/avatar-video-messages",
"type": "skill",
"version": "0.1.2",
"displayName": "Video Messages from your openclaw",
"description": "Generate and send video messages with a lip-syncing VRM avatar. Use when user asks for video message, avatar video, video reply, or when TTS should be delivered as video instead of audio.",
"author": {
"name": "thewulf7",
"url": "https://clawhub.ai/thewulf7"
},
"homepage": "https://clawhub.ai/thewulf7/avatar-video-messages",
"distribution": {
"packages": [
{
"registryType": "source",
"identifier": "thewulf7/avatar-video-messages",
"version": "0.1.2",
"runtimeHint": "clawhub install"
}
],
"remotes": []
},
"dependencies": [],
"installTargets": [
"openclaw",
"claude-code",
"claude-desktop",
"cursor",
"codex",
"vscode"
],
"keywords": [
"downloads:4327",
"stars:4",
"installs:141",
"Audio",
"Message"
],
"provenance": {
"origin": "clawhub",
"originalId": "thewulf7/avatar-video-messages",
"originalUrl": "https://clawhub.ai/thewulf7/avatar-video-messages",
"isOfficial": false,
"status": "active"
}
}