A specialized automation skill for analyzing public music trends, rankings, and artist performance data on the Kugou Music platform.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install kugou
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 kugou 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 Kugou Hot Trend?
Kugou Hot Trend is a powerful integration for Openclaw Skills designed to facilitate the retrieval and analysis of public music data from Kugou. It focuses on gathering insights from song rankings, public playlists, and artist profiles without bypassing platform security or engaging in unauthorized downloads.
This skill serves as a lightweight bridge for developers and researchers who need to monitor music market dynamics in the Chinese region. It provides structured summaries of playback counts, collection metrics, and stylistic distributions, making it an essential tool for trend reporting and internal music data analysis.
Kugou Hot Trend Use Cases
- Summarizing track listings and performance metrics (plays and favorites) from specific rankings or playlists.
- Conducting time-series performance comparisons of an artist's recent works over 7 or 30-day periods.
- Generating statistical reports on musical styles and language distribution within selected music categories.
- Monitoring public music charts to identify emerging hits and trending genres.
How Kugou Hot Trend Works
- The user triggers the skill by providing a target Kugou URL, such as a ranking page or artist home page.
- The skill navigates to the specified public entry point (e.g., the Global Top List or Search portal).
- It extracts key metadata from the rendered page, including song titles, artists, albums, and interaction metrics.
- The extracted data is processed into a structured summary, calculating totals for playback and style distribution.
- The final analytical report is presented to the user for internal use or decision-making.
Kugou Hot Trend Setup
To enable this skill within your environment, ensure you have the Openclaw Skills framework installed and register the kugou-hot-trend component.
# Register the Kugou Hot Trend skill
clawdbot register kugou-hot-trend
# Recommended: Use a browser environment that supports manual verification
# if dynamic rendering or human-machine verification is triggered.
Kugou Hot Trend Data Schema & Taxonomy
The skill organizes extracted information into structured formats suitable for analysis:
| Entity | Fields Included |
|---|---|
| Songs | Title, Artist, Album, Duration, Playback/Collection Count, URL |
| Playlists | Name, Creator, Track Count, Interaction Metrics, URL |
| Artists | Profile Link, Recent Works, Interaction Summary Statistics |
| Metadata | Genre Tags, Language Categories, Time-series Performance Data |
Kugou Hot Trend Advanced Features
- Support for dynamic rendering analysis to handle modern web elements.
- Manual trigger integration for human-in-the-loop verification (CAPTCHA handling).
- Automated style and language tagging based on playlist metadata.
- Comparative analytics for tracking growth trends across different time intervals.
SKILL.md
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