Setup & Installation
openclaw skills install @kangbuilds/jable
Or with the ClawHub CLI, for registry-managed skill folders outside a full OpenClaw workspace:
npx clawhub install jable
What This Skill Does
Fetches recent videos from Jable and ranks them by like count within a configurable time window. Combines RSS feed data with latest-updates page scraping to surface the most popular recent content.
Combining RSS timestamps with like counts from listing pages in one pass saves manually cross-referencing two sources.
When to use it
- Finding top-liked Jable videos from the last 24 hours
- Getting a ranked list of recent Jable uploads by popularity
- Automating daily Jable content discovery
- Pulling top 5 recent videos to share as a formatted list
- Scanning multiple pages to rank content by engagement
Example Workflow
Here's how your AI assistant might use this skill in practice.
INPUT
User asks: Show me the top 3 Jable videos from the last 24 hours
AGENT
- 1Fetch recent video entries and publish times from the Jable RSS feed
- 2Scrape like counts from latest-updates pages
- 3Filter entries to those published within the 24-hour window
- 4Sort filtered videos by likes descending
- 5Return the top 3 with title, like count, and URL
OUTPUT
Formatted numbered list with title, heart emoji like count, and link for each of the top 3 videos