Home › Skills › Shanku Paolu 1.0.0
Other Skills

Shanku Paolu 1.0.0 skill for OpenClaw

⬇ 4.2K downloads ★ 0 stars Version 1.0.0 Rank #1943 of 10,000+

What this skill does

离职前文件扫描与备份工具。纯HTML单文件,零依赖,双击即用。 当用户提到"离职"、"备份文件"、"扫描文件"、"整理文件"、"删库跑路"时使用。 触发词:离职备份、文件扫描、备份重要文件、扫描PDF/Word/Excel/PPT、离职前整理、删库跑路。

The Shanku Paolu 1.0.0 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 Shanku Paolu 1.0.0 skill is ranked #1943 by downloads in the OpenClaw skill catalog (4.2K total downloads, 0 stars). It belongs to the Other Skills category alongside 1106 other top-10000 skills.

How to install the Shanku Paolu 1.0.0 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 shanku-paolu-1-0-0 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 Shanku Paolu 1.0.0 skill with a single command:

openclaw skills add shanku-paolu-1-0-0

This pulls shanku-paolu-1-0-0 from ClawHub and installs it into ~/.openclaw/skills/shanku-paolu-1-0-0/. Restart the OpenClaw gateway afterwards so the new skill is discovered.

How to use the Shanku Paolu 1.0.0 skill

Once installed, the Shanku Paolu 1.0.0 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 shanku-paolu-1-0-0-1.0.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/shanku-paolu-1-0-0/ (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 Shanku Paolu 1.0.0?

Install Shanku Paolu 1.0.0 in the OpenClaw Easy desktop app by opening the Skills panel, searching for shanku-paolu-1-0-0, and clicking Install. From a terminal you can run: openclaw skills add shanku-paolu-1-0-0. Either way the skill is placed in ~/.openclaw/skills/shanku-paolu-1-0-0/.

Is the Shanku Paolu 1.0.0 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 Shanku Paolu 1.0.0 do?

离职前文件扫描与备份工具。纯HTML单文件,零依赖,双击即用。 当用户提到"离职"、"备份文件"、"扫描文件"、"整理文件"、"删库跑路"时使用。 触发词:离职备份、文件扫描、备份重要文件、扫描PDF/Word/Excel/PPT、离职前整理、删库跑路。

Related: more other skills skills

If the Shanku Paolu 1.0.0 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.

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 Shanku Paolu 1.0.0 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