An AI-powered content monitoring tool that transforms RSS feeds and news sources into automated, summarized daily digests.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install content-watcher
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install content-watcher using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Content Watcher?
Content Watcher is a sophisticated monitoring agent designed for the Openclaw Skills ecosystem that automates the collection and synthesis of digital information. By tracking RSS and Atom feeds, the tool extracts relevant web content and applies local AI summarization to deliver concise updates. It is specifically engineered to help developers and researchers manage information overload by filtering noise and highlighting essential updates without the need for external API keys.
As part of the Openclaw Skills directory, this tool provides a privacy-first approach to content curation. It enables users to aggregate data from multiple high-traffic sources into a single, readable Markdown digest, ensuring you never miss a critical update in your industry while maintaining complete control over your data processing pipeline.
Content Watcher Use Cases
- Competitive Intelligence: Automate the monitoring of competitor blogs and press releases to stay ahead of the market.
- Industry Trend Tracking: Track rapid developments in tech, finance, or marketing through targeted feed aggregation.
- Research Assistance: Aggregate and summarize academic journals or news sources into structured reports.
- Automated Content Curation: Generate high-quality newsletters or briefing documents automatically using the Openclaw Skills integration.
How Content Watcher Works
- Sources are registered via the command-line interface using RSS or Atom feed URLs.
- The monitoring engine fetches the latest entries from all configured sources during a run cycle.
- The tool performs web content extraction to pull full-text data from the source links.
- A local AI model processes the text to create summaries based on your preferred style, such as bullet points.
- Duplicate detection logic filters out previously seen content to ensure the digest is fresh.
- The final output is formatted as a Markdown document or sent directly to integrated webhooks.
Content Watcher Setup
To integrate this utility into your Openclaw Skills environment, ensure you have Node.js and npm installed, then follow these steps:
# Install the Content Watcher package
npm install -g content-watcher
# Add your first monitoring source
content-watcher add https://techcrunch.com/feed/ --name "TechCrunch"
# Execute a manual run to generate your first digest
content-watcher run --output digest.md
Content Watcher Data Schema & Taxonomy
Content Watcher manages its state and configuration within a structured directory at ~/.config/content-watcher/config.json. The data structure includes:
| Property | Type | Description |
|---|---|---|
sources |
Array | A collection of feed objects including URLs and unique identifiers. |
delivery |
String | Defines the output method (e.g., console, file, or webhook). |
summaryStyle |
String | Controls the AI output format, such as "bullet" or "paragraph". |
maxItemsPerSource |
Number | Sets the threshold for how many articles to process per source per run. |
Content Watcher Advanced Features
- Local AI Processing: Summarize content entirely on your local machine without requiring paid API subscriptions or sacrificing privacy.
- Webhook Support: Automatically push generated digests to collaboration platforms like Feishu or Slack.
- Cron Integration: Schedule the tool to run at specific intervals for hands-free daily intelligence reporting within the Openclaw Skills framework.
- Markdown Export: Generate clean, structured documentation that is ready for publishing or archiving in PKM systems.
SKILL.md
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