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Mac TTS skill for OpenClaw

⬇ 7.7K downloads ★ 2 stars Version 1.0.0 Rank #682 of 10,000+

What this skill does

Text-to-speech using macOS built-in `say` command. Use for voice notifications, audio alerts, reading text aloud, or announcing messages through Mac speakers. Supports multiple languages including Chinese (Mandarin), English, Japanese, etc.

The Mac TTS skill is part of the Other Skills category — OpenClaw skills that extend your agent with new capabilities. You can install it on its own or alongside other other skills skills from the OpenClaw catalog.

The Mac TTS skill is ranked #682 by downloads in the OpenClaw skill catalog (7.7K total downloads, 2 stars). It belongs to the Other Skills category alongside 1106 other top-10000 skills.

How to install the Mac TTS skill

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 mac-tts 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 the Mac TTS skill with a single command:

openclaw skills add mac-tts

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

How to use the Mac TTS skill

Once installed, the Mac TTS skill 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

Mac TTS 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 skill .zip button above to grab mac-tts-1.0.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/mac-tts/ (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 Mac TTS?

Install Mac TTS in the OpenClaw Easy desktop app by opening the Skills panel, searching for mac-tts, and clicking Install. From a terminal you can run: openclaw skills add mac-tts. Either way the skill is placed in ~/.openclaw/skills/mac-tts/.

Is the Mac TTS skill free?

Yes. It is free to download and run through ClawHub, with no account or payment required. Each skill is published by its own author under its own licence — see its ClawHub page for the licence and source.

What does Mac TTS do?

Text-to-speech using macOS built-in `say` command. Use for voice notifications, audio alerts, reading text aloud, or announcing messages through Mac speakers. Supports multiple languages including Chinese (Mandarin), English, Japanese, etc.

Related: more other skills skills

If the Mac TTS skill looks useful, you may also want to check out other other skills skills in the OpenClaw catalog:

Skills in this catalog are community-contributed integrations published on ClawHub and distributed under their own open-source licences. Product and company names, and any third-party service a skill connects to, are trademarks of their respective owners; a listing here does not imply affiliation with, sponsorship by, or endorsement from them. This page does not distribute any third-party application. Rights holders can reach us at hello@openclaw-easy.com.

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