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zhihu-hot-article-engine skill for OpenClaw

⬇ 2.4K downloads ★ 1 stars Version 0.1.0 Rank #5632 of 10,000+

What this skill does

Write Zhihu articles that rank on the hot list and earn genuine upvotes, using a research-driven methodology with Phase 0 knowledge reconnaissance, structured credibility building, and Zhihu algorithm optimization. Covers everything from question selection to opening hooks, argument architecture, data citation, and title optimization for the Zhihu ecosystem.

The zhihu-hot-article-engine 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 zhihu-hot-article-engine skill is ranked #5632 by downloads in the OpenClaw skill catalog (2.4K total downloads, 1 stars). It belongs to the Developer Tools category alongside 3540 other top-10000 skills.

How to install the zhihu-hot-article-engine 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 zhihu-hot-article-engine 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 zhihu-hot-article-engine skill with a single command:

openclaw skills add zhihu-hot-article-engine

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

How to use the zhihu-hot-article-engine skill

Once installed, the zhihu-hot-article-engine 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 zhihu-hot-article-engine-0.1.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/zhihu-hot-article-engine/ (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 zhihu-hot-article-engine?

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

Is the zhihu-hot-article-engine 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 zhihu-hot-article-engine do?

Write Zhihu articles that rank on the hot list and earn genuine upvotes, using a research-driven methodology with Phase 0 knowledge reconnaissance, structured credibility building, and Zhihu algorithm optimization.

Related: more developer tools skills

If the zhihu-hot-article-engine 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