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Productivity

deep-content-writer skill for OpenClaw

⬇ 2.5K downloads ★ 1 stars Version 0.1.0 Rank #5386 of 10,000+

What this skill does

Creates engaging, example-driven long-form articles with strong hooks, clear argument structures, and reader retention strategies. Use when the user asks to write an in-depth article, blog post, newsletter, social media thread, or any content that needs to hold readers' attention. Also use when the user says "write an article about [topic]" or "turn these notes into a publishable piece".

The deep-content-writer skill is part of the Productivity category — productivity skills for notes, tasks, reminders, and personal organization. You can install it on its own or alongside other productivity skills from the OpenClaw catalog.

The deep-content-writer skill is ranked #5386 by downloads in the OpenClaw skill catalog (2.5K total downloads, 1 stars). It belongs to the Productivity category alongside 184 other top-10000 skills.

How to install the deep-content-writer 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 deep-content-writer 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 deep-content-writer skill with a single command:

openclaw skills add deep-content-writer

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

How to use the deep-content-writer skill

Once installed, the deep-content-writer 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 deep-content-writer-0.1.0.zip directly from our S3 mirror.
  2. Unzip into ~/.openclaw/skills/deep-content-writer/ (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 deep-content-writer?

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

Is the deep-content-writer 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 deep-content-writer do?

Creates engaging, example-driven long-form articles with strong hooks, clear argument structures, and reader retention strategies. Use when the user asks to write an in-depth article, blog post, newsletter, social media thread, or any content that needs to hold readers' attention.

Related: more productivity skills

If the deep-content-writer skill looks useful, you may also want to check out other productivity 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