K-Pop Tracker for Openclaw

A sophisticated monitoring agent for Openclaw Skills that tracks K-Pop artist updates across social media, official stores, and fan communities.

ryemco
vv2.1.0
Apr 13, 2026
0
708
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install kpop-tracker

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install kpop-tracker 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 K-Pop Tracker?

K-Pop Tracker is a technical monitoring skill designed to provide comprehensive updates on music artists. It employs a unique 3-stage search architecture that moves from official social accounts to entertainment media and finally to local fan sources, ensuring maximum data coverage. This skill is particularly valuable for users of Openclaw Skills who want to automate the collection of comeback schedules, merchandise drops, and member-specific activities without manual searching.

The skill handles complex workflows including monitoring Weibo for specific group members, comparing album prices across multiple Korean retailers, and even scanning for rare signed albums on international storefronts. All data is synthesized and translated into Traditional Chinese, providing a clean, structured report on a daily or per-request basis.

K-Pop Tracker Use Cases

  • Automated monitoring of group comeback schedules and MV release timelines.
  • Real-time tracking of concert tour announcements and ticket sale dates across global venues.
  • Price comparison and exclusive benefit tracking for new album pre-orders.
  • Monitoring individual member solo activities, including brand ambassador events and acting roles.

How K-Pop Tracker Works

  1. The skill initializes by reading the artist list and source URLs from a local config.json file.
  2. It triggers a browser-based scraping sequence to collect recent posts from Instagram, X (Twitter), Weverse, and Berriz.
  3. It performs targeted search queries across major entertainment portals like Soompi, Naver, and Allkpop to find news leaks.
  4. For groups with Chinese members, it specifically monitors Weibo accounts for localized updates.
  5. Collected data is cross-referenced with a history file to filter out previously reported URLs.
  6. The remaining information is categorized into six fixed segments and formatted into a standardized Markdown report.

K-Pop Tracker Setup

To deploy this skill within Openclaw Skills, ensure the browser environment is configured. Create the following directory and configuration file:

mkdir -p kpop-tracker
touch kpop-tracker/config.json

Configure your artists in config.json using the provided schema. You can also automate the checks by adding a cron job via the CLI:

openclaw cron add --schedule "0 9 * * *" --task "Run kpop-tracker skill: check all tracked artists" --label kpop-morning

K-Pop Tracker Data Schema & Taxonomy

The skill organizes data using two primary JSON files to maintain state and configuration:

  • config.json: Stores the artist list, including keywords, social media handles, and specific Chinese member metadata.
  • check_history.json: Maintains a rolling log of the last 200 reported URLs and the timestamp of the last successful check to prevent duplicate alerts.
  • Categorization: Data is strictly organized into: 1. Group Comebacks, 2. Albums & Merch, 3. Concert News, 4. Group Activities, 5. YouTube Updates (limited to past 7 days), and 6. Solo Member News.

K-Pop Tracker Advanced Features

  • Three-stage search architecture (Official -> Media -> Fan Sources) for redundant data verification.
  • Specialized 'Signed Album' detection logic for high-demand official stores like Starship US.
  • Intelligent deduplication engine that tracks up to 200 unique interaction points.
  • Multi-platform browser automation using persistent profiles to bypass common scraping obstacles.
  • Automated Weibo monitoring for localized artist updates in the Chinese market.

SKILL.md


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