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🦀 ClawHub

Feishu Voice Chat

by @li-neo

飞书语音对话能力，提供语音识别（ASR）和语音合成（TTS）功能，所有的飞书语音消息都通过该技能处理。完整语音交互链路：接收用户语音 → ASR 转文字 → LLM 处理 → TTS 转语音 → 通过飞书插件发送语音消息。当用户要求"语音回复/说给我听"时，只回复飞书语音消息（audio 气泡），不回复文本...

Versionv0.1.1

#clawhub

Source

Use this skill with your agent

Most visitors already have an agent. Pick your environment, install or copy the workflow, then run the smoke-test prompt above.

Manusinvite

Task-oriented agent. Great for testing AI skills end-to-end.

Try Manus →

OpenClaw

Local-first agent. Install skills via ClawHub CLI.

Set up OpenClaw →

Claude Code

Anthropic's coding agent. Paste the prompt or SKILL.md into your session.

Claude Code docs →

Cursor

AI-powered IDE. Use the smoke-test prompt in Cursor Agent.

Open Cursor →

Continue.dev

Open-source AI code assistant. Add SKILL.md as a custom tool.

Continue docs →

Windsurf

Agentic IDE by Codeium. Paste the prompt into Cascade.

Try Windsurf →

Cline

VS Code extension for autonomous coding with MCP tools.

Cline on GitHub →

Copilot Workspace

GitHub's AI dev environment. Suitable for code-generation skills.

Copilot Workspace →

What to do next

Skills are meant to be used inside your own AI agent. Install it, run a quick smoke test, then ask your agent to apply it to your real task.

Install into your agentCopy the ClawHub install command and run it where your OpenClaw/agent environment is configured.

Run a smoke testUse the test prompt below to confirm the skill loads and understands the workflow before relying on it.

Use it in your own agentPaste your actual task into Manus, OpenClaw, Claude Code, Cursor, or another agent that supports skills.

I just installed the Feishu Voice Chat skill. Please run a quick smoke test: explain what this skill can do, ask me for the minimum input it needs, then produce one small sample output for a realistic task.