3D Wordcloud Visualizer
3D 词云可视化工具 - 将对话历史或其他文本数据自动转换为炫酷的 3D 地球词云，支持多格式文件导入（JSON/MD/TXT），自动中文分词和词频统计，生成 TOP30 高频词的 3D 可视化效果
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/0xf4vul/3d-wordcloud-visualizerWhat This Skill Does
The 3D Wordcloud Visualizer is a sophisticated frontend utility designed for the OpenClaw ecosystem. It transforms flat, unstructured text data—such as LLM conversation histories, Markdown notes, or plain TXT files—into an immersive, interactive 3D globe. By leveraging Three.js for high-fidelity 3D rendering and the segmentit library for precise Chinese natural language processing, the skill automatically parses, tokenizes, and calculates term frequency to generate a dynamic visualization. It filters out common stop words to ensure that the resulting 3D word cloud focuses on the most relevant information extracted from your data, presenting the top 30 most frequent terms mapped as a texture onto a rotating 3D earth model.
Installation
To integrate this skill into your environment, run the following command in your terminal:
clawhub install openclaw/skills/skills/0xf4vul/3d-wordcloud-visualizer
Once installed, no further server-side configuration is required as the tool functions entirely within the client-side browser environment, ensuring total data privacy.
Use Cases
This skill is ideal for users looking to perform thematic analysis on their interaction history or document collections. It is particularly useful for:
- Visualizing the core topics discussed in long-form chatbot threads.
- Analyzing keyword distribution in large research documents or meeting notes.
- Creating interactive presentations for data reports.
- Identifying hidden trends or recurrent themes across multiple text-based data sources.
Example Prompts
- "Generate a 3D word cloud based on the conversation history file I just uploaded."
- "Can you process my 'project_notes.md' file and create a 3D globe visualization of the top 30 keywords?"
- "Analyze the attached JSON conversation logs and launch the 3D wordcloud visualizer for me."
Tips & Limitations
To get the best performance, ensure your input files are in UTF-8-sig encoding to prevent character corruption. The tool is optimized for files up to 10MB; exceeding this size may impact browser rendering speeds. Remember that the tool relies on a predefined list of Chinese stop words, which can be customized within the generated HTML file if your specific dataset contains domain-specific noise. Since all processing occurs locally in the browser, your data remains secure and private, never leaving your machine during the visualization process.
Metadata
Not sure this is the right skill?
Describe what you want to build — we'll match you to the best skill from 16,000+ options.
Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-0xf4vul-3d-wordcloud-visualizer": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-read, file-write