AI DevBlog Factory is an automated workflow that crawls GitHub Trending and technical news to generate and publish professional reports using Openclaw Skills.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-devblog-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 ai-devblog-factory using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
AI DevBlog Factory is a comprehensive content automation solution designed for developers and technical teams who need to stay updated without manual effort. By integrating several Openclaw Skills, this tool orchestrates a full lifecycle from raw data collection to final publication. It serves as a bridge between high-velocity technical trends and structured organizational knowledge.
Built on the foundation of Openclaw Skills, the factory enables users to create a consistent pulse of technical insights within their teams. It eliminates the friction of monitoring multiple platforms by consolidating GitHub activity, RSS feeds, and news into a single, AI-curated document delivered to your preferred platform.
To start using this skill within your Openclaw Skills environment, follow these steps:
# Execute the skill manually to test the pipeline
openclaw run ai-devblog-factory
# Configure a daily cron job for automatic generation at 9:00 AM
openclaw cron add \
--name "Daily Tech Insights" \
--schedule "0 9 * * *" \
--skill ai-devblog-factory
Ensure you have configured your Feishu robot permissions and optional GitHub cookies for complete data access.
The skill organizes data through a multi-stage pipeline as defined below:
| Stage | Skill Component | Output Format |
|---|---|---|
| Raw Crawl | Agent-Reach | raw_trending.json, raw_news.json |
| AI Analysis | summarize | analysis.json, insights.md |
| Drafting | wechat-article-pro | article.md |
| Final Doc | feishu_doc | doc_url, doc_id |
Metadata includes programming language distribution, star growth statistics, and source attribution.
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