A personalized news engine that learns user interests and delivers formatted briefings directly through your AI agent.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install news
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 news using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The News skill is a sophisticated curation engine designed to transform how you consume information. By integrating this capability into your AI agent, you can receive highly personalized news briefings that evolve based on your feedback and engagement. This component of the Openclaw Skills library focuses on delivering facts first, citing sources accurately, and maintaining a local memory of your specific interests to ensure every update is relevant.
Built with a privacy-first approach, the News skill stores all user profiles and engagement history locally. It allows for granular control over content proportions, such as balancing technical updates with market analysis, and supports multiple formatting styles ranging from quick bullet points to deep-dive narrative summaries.
To get started with this skill, install it via your terminal:
clawhub install news
Next, set up the local directory structure required for the memory system:
mkdir -p ~/news/
touch ~/news/memory.md ~/news/history.md ~/news/sources.md
You can then trigger the initial profile building by asking your agent for a news briefing.
The News skill manages data within the ~/news/ directory to maintain persistence across Openclaw Skills sessions:
| File | Description | Content Type |
|---|---|---|
| memory.md | Profile Configuration | Interests, proportions, format, and timing |
| history.md | Engagement Tracking | Record of past briefings and user feedback |
| sources.md | Source Management | Trusted outlets and noted editorial biases |
summarizer and scrape for expanded article analysis.Loading
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