Setup & Installation
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
Version History
Docs: add install/usage examples. Note: canonical slug is now jable
What This Skill Does
Fetches recent videos from Jable, filters by a time window, and ranks them by like count. Returns the top N results with titles, like counts, and URLs.
Combines RSS freshness data with like counts from the updates feed in a single pass, which neither source provides on its own.
When to use it
- Get top 5 most-liked Jable videos from the last 24 hours
- Quickly surface trending content without manual browsing
- Schedule recurring popularity checks over custom time windows
- Compare engagement across a large batch of recent uploads
- Generate a ranked link list to share or review
Example Workflow
Here's how your AI assistant might use this skill in practice.
User asks: Pull Jable latest updates and show top 3 by likes from last 48h
- 1Read publish times from the Jable RSS feed
- 2Scrape like counts from latest-updates pages (default 10 pages)
- 3Filter videos published within the last 48 hours
- 4Sort filtered results by likes descending
- 5Return top 3 with title, like count, and URL in numbered format
A formatted list of 3 videos, each showing title, heart-emoji like count, and direct URL