Content Analyzer for Openclaw

A professional tool for analyzing Xiaohongshu and Douyin content and profiles to extract engagement metrics and viral strategies.

dizhu
v1.0.0
Mar 14, 2026
1
1.1k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install content-analyzer

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 content-analyzer 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 Content Analyzer?

The Content Analyzer is a specialized technical skill designed to bridge the gap between AI agents and Chinese social media platforms. By leveraging the TikHub API, this component of the Openclaw Skills library enables agents to programmatically fetch and interpret data from Xiaohongshu (XHS) and Douyin. It goes beyond simple data scraping by providing structured analysis of content hooks, engagement patterns, and creator positioning.

This skill is essential for users who need to perform deep market research or competitive analysis within the Openclaw Skills framework. It allows developers and marketers to automate the ingestion of social media metadata, turning raw platform URLs into actionable intelligence regarding tag strategies, posting frequencies, and viral performance factors.

Content Analyzer Use Cases

  • Competitive research by analyzing the top-performing posts of specific creators on Douyin.
  • Content strategy optimization through the study of trending Xiaohongshu tags and title hooks.
  • Automated social media reporting by feeding post URLs into Openclaw Skills for instant engagement summaries.
  • Creator profile auditing to understand niche positioning and audience resonance across platforms.

How Content Analyzer Works

  1. The AI agent identifies a supported URL from Xiaohongshu or Douyin within the user conversation.
  2. The agent executes a specialized Python script located within the Openclaw Skills directory structure using the system's execution tool.
  3. The script interfaces with the TikHub API to retrieve a JSON payload containing metadata, media details, and engagement statistics.
  4. The agent parses the resulting data to identify high-performing content patterns and viral triggers.
  5. A final structured report is generated in the user's preferred language, offering summaries, stats interpretation, and actionable takeaways.

Content Analyzer Setup

To utilize this skill, ensure your environment has access to the TikHub API and the following script path is available within your Openclaw Skills setup:

Analyze a single post:

python3 ~/.openclaw/skills/content-analyzer/scripts/analyze.py "<URL>"

Analyze a creator profile with a specific post limit:

python3 ~/.openclaw/skills/content-analyzer/scripts/analyze.py "<PROFILE_URL>" --max 20

Content Analyzer Data Schema & Taxonomy

The Content Analyzer organizes social media data into a clean, predictable schema for Openclaw Skills to process:

Data Type Key Fields
Post Data platform, type, title, content, author, tags, images/video, stats (likes, collects, comments)
Profile Data author, total_fetched, average_likes, tag_frequency, content_type_ratio, posting_frequency
Analysis Output Content summary, engagement interpretation, viral factor identification, actionable takeaways

Content Analyzer Advanced Features

  • Profile-wide aggregate analysis to determine average performance metrics and posting frequency.
  • Automated support for both standard and short-link URL formats (xhslink.com and v.douyin.com).
  • Multi-agent compatibility, allowing this skill to act as a data provider for other Openclaw Skills.
  • Language-aware response generation that matches the user's input language automatically.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*