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TinkerClaw WhatsApp skill for OpenClaw

⬇ 3.6K downloads ★ 3 stars Version 4.2.0 Rank #2552 of 10,000+

What this skill does

You put 5 agents in a WhatsApp group. They all respond at once. Your API bill does a backflip. Protocol v2 fixes that — congestion control, conversation lifecycle, and budget-aware scheduling. Agents that know when to talk, when to shut up, and when to burn unused tokens before reset. Built for the TinkerClaw fork — github.com/globalcaos/tinkerclaw. Documentation only: this package ships no scripts.

The TinkerClaw WhatsApp skill is part of the Developer Tools category — developer tools that help your agent write, review, debug, and ship code. You can install it on its own or alongside other developer tools skills from the OpenClaw catalog.

The TinkerClaw WhatsApp skill is ranked #2552 by downloads in the OpenClaw skill catalog (3.6K total downloads, 3 stars). It belongs to the Developer Tools category alongside 3540 other top-10000 skills.

How to install the TinkerClaw WhatsApp 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 whatsapp-ultimate 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 TinkerClaw WhatsApp skill with a single command:

openclaw skills add whatsapp-ultimate

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

How to use the TinkerClaw WhatsApp skill

Once installed, the TinkerClaw WhatsApp 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.

Manual install (advanced)

If you prefer manual installation:

  1. Click the Download skill .zip button above to grab whatsapp-ultimate-4.2.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/whatsapp-ultimate/ (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 TinkerClaw WhatsApp?

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

Is the TinkerClaw WhatsApp 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 TinkerClaw WhatsApp do?

You put 5 agents in a WhatsApp group. They all respond at once. Your API bill does a backflip. Protocol v2 fixes that — congestion control, conversation lifecycle, and budget-aware scheduling. Agents that know when to talk, when to shut up, and when to burn unused tokens before reset.

Related: more developer tools skills

If the TinkerClaw WhatsApp skill looks useful, you may also want to check out other developer tools 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