An automated utility that transforms embedded blog videos into lightweight, scannable GIF previews.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install blog-content-proc
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 blog-content-proc 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 Blog Content Processor?
The Blog Content Processor is a specialized tool within the ecosystem of Openclaw Skills designed to bridge the gap between long-form blog content and rapid visual consumption. By analyzing blog URLs or RSS feeds, this skill identifies embedded video content and automatically converts key segments into high-quality GIF previews. This functionality is essential for developers and content managers looking to create engaging, low-bandwidth summaries of video-heavy posts without manual editing.
Built to integrate seamlessly with other Openclaw Skills, it leverages robust libraries like ffmpeg-static to handle heavy-duty video processing. This ensures that users can maintain a high-velocity content pipeline, moving from a raw feed to a visual assets library in seconds.
Blog Content Processor Use Cases
- Creating automated social media previews for video-rich blog posts.
- Generating scannable visual summaries for RSS feed readers and dashboards.
- Reducing bandwidth by providing lightweight GIF previews instead of full video embeds.
- Optimizing content workflows for digital marketers and technical bloggers.
How Blog Content Processor Works
- The user provides a target blog URL or an RSS/Atom feed to the processor.
- The system utilizes rss-parser to scan the feed and identify embedded video links.
- The skill triggers a download or stream of the video metadata to locate key frames.
- Using ffmpeg-static, the processor extracts specific frames and compiles them into a lightweight GIF.
- The final assets are organized and made available for other Openclaw Skills to index or share.
Blog Content Processor Setup
To integrate this skill into your local environment, ensure you have the necessary dependencies installed via your package manager:
# Install the core skill and its processing dependencies
npm install blog-content-processor rss-parser ffmpeg-static
Configure your environment variables to define output paths for generated GIFs:
export BLOG_PROCESSOR_OUTPUT="./previews/gifs"
Blog Content Processor Data Schema & Taxonomy
The skill manages data through a structured pipeline to ensure compatibility with other Openclaw Skills. Metadata and files are organized as follows:
| Attribute | Type | Description |
|---|---|---|
feed_source |
String | The origin RSS or Atom URL |
video_url |
String | The detected source video link |
gif_path |
String | Local path to the generated GIF preview |
timestamp |
DateTime | When the processing occurred |
Generated files are stored in a hierarchical directory based on the feed name, allowing for easy indexing by tools like gifgrep.
Blog Content Processor Advanced Features
- Multi-skill integration: Designed to work out-of-the-box with blogwatcher for real-time monitoring.
- Frame-specific extraction: Leverages video-frames to choose high-impact visuals for the final GIF.
- Automated indexing: Seamlessly feeds generated assets into gifgrep for instant search and retrieval.
- Headless operation: Can be deployed as a background service for continuous feed processing.
SKILL.md
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