An intelligent content summarization tool for Openclaw Skills that processes local documents, web URLs, and WeChat articles without requiring external API keys.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install china-summarizer
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 china-summarizer 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 China Summarizer?
China Summarizer is a specialized utility designed for the Openclaw Skills ecosystem to provide high-quality Chinese summaries of diverse content sources. It eliminates the need for manual copy-pasting by directly interfacing with local file systems and live web URLs. By leveraging the current model loaded in Openclaw, it ensures data privacy and cost-efficiency while delivering structured insights from complex documents.
The tool is particularly adept at handling the nuances of the Chinese web, featuring optimized scrapers for WeChat Official Accounts, Zhihu, and major Chinese news portals. It transforms dense information into actionable summaries, regardless of whether the source is a local PDF, a Word document, or a technical blog post.
China Summarizer Use Cases
- Summarizing long-form WeChat Official Account articles from a simple URL.
- Extracting core insights from local PDF, Word, or Markdown technical documentation.
- Distilling key takeaways from news sites like 36Kr, HuXiu, or CSDN.
- Processing large volumes of text (up to 8,000+ words) into concise, 500-word summaries.
- Converting English technical content into structured Chinese executive summaries.
How China Summarizer Works
- Source Identification: The skill detects if the input is a URL (web/WeChat), a local file path (.pdf, .docx, .txt, .md), or raw pasted text.
- Content Extraction: It utilizes specific workflows like browser tools for web scraping or libraries like poppler/python-docx for local files to extract clean text.
- Quality Validation: The system checks the extracted text volume; if content is too short (under 200 words) or blocked by JS rendering, it alerts the user to provide manual input.
- Template Matching: Based on the content (code-heavy, news-based, or academic), it selects a specialized summary template.
- Recursive Summarization: For massive documents (>8,000 words), it segments the text, summarizes chunks, and then synthesizes a final master summary.
- Structured Output: The final result is presented with a source header, word count, core viewpoints, detailed key points, and a one-sentence punchline.
China Summarizer Setup
To use China Summarizer within your Openclaw Skills environment, ensure you have the necessary system dependencies for file parsing:
# For PDF processing on macOS
brew install poppler
# For PDF processing on Ubuntu
sudo apt install poppler-utils
# Required Python libraries
pip install pypdf pdfminer.six python-docx
China Summarizer Data Schema & Taxonomy
China Summarizer organizes data into a structured output format to ensure consistency across different source types:
| Section | Content Description |
|---|---|
| Source | The original URL or local file path |
| Word Count | Approximate number of characters extracted |
| Core Viewpoints | 1-3 sentences summarizing the most important conclusions |
| Main Content | 3-7 bullet points of detailed findings |
| Key Info | Specific dates, names, or metrics identified in the text |
| One-Sentence Summary | The essence of the entire document in a single line |
China Summarizer Advanced Features
- WeChat Optimization: Special handling for to bypass common scraping hurdles on WeChat articles.
- Multi-Template Logic: Automatically switches between Technical, News, Academic, and General summary styles based on text analysis.
- Recursive Chunking: Supports processing of extremely long documents by utilizing a multi-stage summarization pipeline.
- Zero-Config Integration: Directly uses the existing LLM context in Openclaw Skills, requiring no additional API keys or logins.
SKILL.md
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