A specialized automation tool to identify the most popular recent content on Jable by ranking videos based on real-time like counts.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jable
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 jable 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 Jable?
The Jable skill is a powerful utility designed for users of Openclaw Skills to curate high-quality content feeds automatically. It eliminates manual searching by programmatically scanning the latest updates and ranking them based on community engagement metrics like total likes. By bridging RSS feed data with automated webpage scraping, it provides a refined list of trending media within a specific, user-defined time window.
This tool is ideal for developers and power users who want to integrate media discovery into their AI agent workflows. Whether you are looking for the most popular content from the last 24 hours or a broader look at the week's trends, this skill provides a structured and actionable response.
Jable Use Cases
- Monitoring the latest trending content on Jable within the last 24 to 48 hours.
- Generating a daily best of list based on community popularity and likes.
- Automating content research for media curation or personal viewing lists.
- Filtering out low-engagement content to focus only on highly-rated recent updates.
How Jable Works
- The skill fetches the most recent publish times from the official Jable RSS feed.
- It scans the latest updates pages to scrape live like counts for each video listed.
- The collected data is filtered to include only videos that fall within the user-defined hourly window (defaulting to 48 hours).
- The remaining videos are sorted in descending order based on their total like counts.
- A formatted list containing the title, engagement count, and direct URL is returned to the user or agent.
Jable Setup
Install the skill directly via the ClawHub package manager to add it to your Openclaw Skills library:
clawhub install jable
Alternatively, clone the repository into your local OpenClaw workspace at skills/jable/. To run the script manually from the command line, use:
python3 skills/jable/scripts/top_liked_recent.py --hours 48 --top 3 --pages 10
Jable Data Schema & Taxonomy
The skill processes and outputs data using a structured format to ensure clarity for both the user and the AI agent:
| Field | Description | Type |
|---|---|---|
| Title | The display name of the video as listed on the platform | String |
| Likes | Total number of likes scraped from the latest-updates pages | Integer |
| URL | Direct link to the Jable video page | String |
| Publish Time | Metadata extracted from RSS to verify recency | Datetime |
Jable Advanced Features
- Customizable time windows via the
--hoursparameter to fine-tune content recency requirements. - Deep scanning capabilities through the
--pagesflag to search across multiple pages of updates for older but popular content. - Adjustable result limits using the
--topparameter for concise summaries or expansive reports. - Seamless integration into Openclaw Skills chat workflows, allowing users to request ranked lists using natural language.
SKILL.md
Loading
Related Openclaw Skills
Jable Video Ranking Skill
A high-efficiency automation tool for Openclaw Skills to rank recent Jable video updates based on user likes and popularity.
Pollinations AI - Multi-Modal Content Generation
A comprehensive AI generation suite for creating high-quality images, audio, and videos via the Pollinations AI API.
Gladia YouTube and Audio Transcription
An automated transcription tool that converts YouTube videos and audio URLs into text using the Gladia API for LLM summarization and analysis.
A-Share Multi-Agent Research Framework
A sophisticated multi-agent framework for deep A-share market research, industry chain analysis, and automated investment reporting.
IQC Python Tree Parsing Engine
An industrial-grade engine designed to parse Incoming Quality Control (IQC) plans from Excel spreadsheets into secure, structured JSON data.
YouTube Shorts Automation
An automated pipeline for generating AI-powered YouTube Shorts with background music and voiceovers using Deevid AI and Openclaw Skills.
Featured*
