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Messaging & Channels

Telegram Offline Voice skill for OpenClaw

⬇ 4.4K downloads ★ 2 stars Version 0.1.3 Rank #1769 of 10,000+

What this skill does

本地生成 Telegram 语音消息,支持自动清洗、分段与临时文件管理。

The Telegram Offline Voice skill 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.

The Telegram Offline Voice skill is ranked #1769 by downloads in the OpenClaw skill catalog (4.4K total downloads, 2 stars). It belongs to the Messaging & Channels category alongside 454 other top-10000 skills.

How to install the Telegram Offline Voice 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 telegram-offline-voice 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 Telegram Offline Voice skill with a single command:

openclaw skills add telegram-offline-voice

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

How to use the Telegram Offline Voice skill

Once installed, the Telegram Offline Voice 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

Telegram Offline Voice 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 telegram-offline-voice-0.1.3.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/telegram-offline-voice/ (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 Telegram Offline Voice?

Install Telegram Offline Voice in the OpenClaw Easy desktop app by opening the Skills panel, searching for telegram-offline-voice, and clicking Install. From a terminal you can run: openclaw skills add telegram-offline-voice. Either way the skill is placed in ~/.openclaw/skills/telegram-offline-voice/.

Is the Telegram Offline Voice 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 Telegram Offline Voice do?

本地生成 Telegram 语音消息,支持自动清洗、分段与临时文件管理。

Related: more messaging & channels skills

If the Telegram Offline Voice skill looks useful, you may also want to check out other messaging & channels 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