Home › Skills › Offline Llama
Automation & Workflows

Offline Llama skill for OpenClaw

⬇ 1.8K downloads ★ 0 stars Version 1.0.0 Rank #9725 of 10,000+

What this skill does

Manage local Ollama models autonomously with health monitoring, automatic fallback, self-healing, and offline operation without internet dependency.

The Offline Llama skill is part of the Automation & Workflows category — automation and workflow skills that schedule, trigger, and orchestrate tasks. You can install it on its own or alongside other automation & workflows skills from the OpenClaw catalog.

The Offline Llama skill is ranked #9725 by downloads in the OpenClaw skill catalog (1.8K total downloads, 0 stars). It belongs to the Automation & Workflows category alongside 999 other top-10000 skills.

How to install the Offline Llama 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 offline-llama 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 Offline Llama skill with a single command:

openclaw skills add offline-llama

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

How to use the Offline Llama skill

Once installed, the Offline Llama 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 offline-llama-1.0.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/offline-llama/ (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 Offline Llama?

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

Is the Offline Llama 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 Offline Llama do?

Manage local Ollama models autonomously with health monitoring, automatic fallback, self-healing, and offline operation without internet dependency.

Related: more automation & workflows skills

If the Offline Llama skill looks useful, you may also want to check out other automation & workflows 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.

Browse the full OpenClaw skill catalog

This page covers just one skill. The OpenClaw skill hub has 10,000+ more — search, sort by downloads or stars, and install any of them in one click. There is also a curated awesome-openclaw-skills list grouped by use case.

Get OpenClaw Easy — Free

Install Offline Llama and 10,000+ other OpenClaw skills in one click. Free, open-source, runs locally on macOS & Windows.

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