An automated content production pipeline for generating platform-specific, SEO-optimized articles and managing publishing schedules.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install batch-content-factory
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install batch-content-factory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Batch Content Factory is a comprehensive production line designed for creators and marketers who need to scale their output across diverse social and professional platforms. By leveraging Openclaw Skills, this tool automates the entire journey from initial topic research to final publication-ready drafts. It intelligently adapts tone, style, and formatting for specific platforms like WeChat, Zhihu, Xiaohongshu, and Twitter, ensuring high-quality, relevant content for any brand matrix.
This skill serves as a centralized hub for self-media operators and enterprise content teams. It bridges the gap between raw data and engaging narratives, integrating SEO best practices directly into the writing process. Users can manage their entire content lifecycle within a unified environment, making these Openclaw Skills essential for modern digital marketing strategies and brand management.
To start using this tool among your Openclaw Skills, first ensure you have Python installed and then install the necessary dependencies:
pip install requests jinja2 markdown
You can then interact with the factory via the CLI. For example, to generate a new article:
python scripts/content_factory_tool.py write --platform wechat --topic 'AI Trends'
The Batch Content Factory organizes data into structured Markdown reports to ensure clarity and portability. The output follows this metadata taxonomy:
| Section | Description |
|---|---|
| Content Factory Report | Includes the generation timestamp and title. |
| Key Findings | A summary list of the most important insights. |
| Data Overview | A table featuring metrics, trends (up/down), and star ratings. |
| Detailed Analysis | Multi-dimensional analysis based on actual gathered data. |
| Recommendations | A table of High, Medium, and Low priority actionable steps. |
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