A professional tool for extracting and summarizing performance data from public CCTV video columns and trending rankings.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cctv
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 cctv 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 CCTV Video Hot Trends Analysis?
The CCTV Video Hot Trends skill is a specialized utility designed for Openclaw Skills to facilitate the lightweight analysis of the CCTV Video platform. It allows users to retrieve metadata and engagement metrics from public short videos and television columns. By focusing on public-facing content, the skill helps media researchers and content creators monitor broadcasting trends, track program updates, and summarize audience engagement without the need for manual data entry or complex scraping setups.
This skill operates within strict boundaries, ensuring it does not involve video downloading, reverse engineering, or unauthorized API calls. It serves as a bridge for AI agents to understand the landscape of traditional media content performance on one of China's largest broadcasting platforms, providing structured insights for professional reporting and content strategy.
CCTV Video Hot Trends Analysis Use Cases
- Summarizing engagement metrics such as likes, views, and comments for specific video collections.
- Monitoring program catalogs to track update statuses and episode directories.
- Analyzing topic distribution across various trending rankings and categories.
- Generating automated reports on the performance of public broadcasting content.
How CCTV Video Hot Trends Analysis Works
- The AI agent navigates to a specified column or ranking page on the CCTV Video platform.
- The skill utilizes dynamic rendering to ensure all public metadata is correctly loaded and visible.
- Key data points, including titles, publication dates, and performance stats, are extracted from the page structure.
- The extracted information is organized into a structured format for analysis.
- The Openclaw Skills agent generates a final summary or report based on the collected data for the user.
CCTV Video Hot Trends Analysis Setup
To integrate this capability into your workflow, ensure your environment is ready for Openclaw Skills.
# Install the necessary CLI tools
npm install -g @openclaw/cli
# Add the CCTV Video Hot Trends skill to your project
openclaw install cctv-video-hot-trend
Note: Because the platform uses dynamic rendering and human-machine verification, it is recommended to manually open the target page before triggering the skill's analysis to ensure successful data retrieval.
CCTV Video Hot Trends Analysis Data Schema & Taxonomy
The skill organizes extracted data into a clear taxonomy for further processing:
| Category | Fields Captured |
|---|---|
| Video Content | Title, Column Name, Release Time, Source URL |
| Performance | Playback Count, Likes, Comments, Favorites |
| Program Status | Update Status, Catalog List, Brief Introduction |
| Ranking Data | Rank Name, Collection Time, Source Link |
CCTV Video Hot Trends Analysis Advanced Features
- Multi-agent support for comparing performance across different media categories using Openclaw Skills.
- Intelligent frequency control to ensure compliance with platform usage patterns.
- Customizable summary templates for generating tailored industry reports.
- Integration hooks for triggering notifications when new episodes are added to a monitored column.
SKILL.md
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