HomeSkills › Voice Wake Say TTS Responses (Native)
Messaging & Channels

Voice Wake Say TTS Responses (Native)

3.5K downloads 2 stars Version 0.1.0 Rank #2391 of 10,000+

What this skill does

Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").

Voice Wake Say TTS Responses (Native) is part of the Messaging & Channels category — messaging and channel skills that connect your agent to chat platforms. You can install it on its own or alongside other messaging & channels skills from the OpenClaw catalog.

Voice Wake Say TTS Responses (Native) is ranked #2391 by downloads in the OpenClaw skill catalog (3.5K total downloads, 2 stars). It belongs to the Messaging & Channels category alongside 487 other top-10000 skills.

How to install Voice Wake Say TTS Responses (Native)

The easiest path is via the OpenClaw Easy desktop app — one click, no terminal required:

  1. Download OpenClaw Easy for macOS or Windows (free, one-click installer, ~30 seconds).
  2. Open the in-app Skills panel.
  3. Search for clawdbot-skill-voice-wake-say and click Install.
  4. The skill activates automatically when an incoming message matches its description.

Install from the command line

If you already run the OpenClaw CLI, add Voice Wake Say TTS Responses (Native) with a single command:

openclaw skills add clawdbot-skill-voice-wake-say

This pulls clawdbot-skill-voice-wake-say from ClawHub and installs it into ~/.openclaw/skills/clawdbot-skill-voice-wake-say/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use Voice Wake Say TTS Responses (Native)

Once installed, Voice Wake Say TTS Responses (Native) activates on its own: when an incoming message on WhatsApp, Telegram, Slack, Discord, Feishu or Line matches the skill's description, your OpenClaw agent loads it and runs the workflow. You can also trigger it explicitly by describing the task in chat. No extra configuration is required after install.

Putting audio in front of an audience

Voice Wake Say TTS Responses (Native) works with audio. Getting from there to something postable is a separate job: ViralMint — an open-source video pipeline — pairs audio with footage or generated visuals, burns synced captions, and exports a finished short.

It runs as an MCP server, so an OpenClaw agent can drive it from the same chat you already use: ask for a short, and the render comes back finished. See how to connect a video pipeline to your agent.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download .zip button above to grab clawdbot-skill-voice-wake-say-0.1.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/clawdbot-skill-voice-wake-say/ (create the directory if it does not exist).
  3. Restart OpenClaw Easy (or the OpenClaw CLI gateway) so the new skill is discovered.

Frequently asked questions

How do I install Voice Wake Say TTS Responses (Native)?

Install Voice Wake Say TTS Responses (Native) in the OpenClaw Easy desktop app by opening the Skills panel, searching for clawdbot-skill-voice-wake-say, and clicking Install. From a terminal you can run: openclaw skills add clawdbot-skill-voice-wake-say. Either way the skill is placed in ~/.openclaw/skills/clawdbot-skill-voice-wake-say/.

Is Voice Wake Say TTS Responses (Native) free?

Yes. Voice Wake Say TTS Responses (Native) is free and open-source, distributed under the Apache-2.0 license through ClawHub. No account or payment is required to download or run it.

What does Voice Wake Say TTS Responses (Native) do?

Speak responses aloud on macOS using the built-in `say` command when user input indicates Voice Wake/voice recognition (for example, messages starting with "User talked via voice recognition on <device>").

Related: more messaging & channels skills

If Voice Wake Say TTS Responses (Native) looks useful, you may also want to check out other messaging & channels skills in the OpenClaw catalog:

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Free, open-source · Apache-2.0 · Works with Claude, ChatGPT, Gemini, or local Ollama models