An AI-driven content analysis module that transforms raw Whisper transcriptions into structured, professional reports with key point extraction.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install douyin-analyzer
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install douyin-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Douyin Analyzer is a specialized content processing module designed to bridge the gap between raw speech-to-text output and polished documentation. By leveraging the power of Openclaw Skills, this tool takes Whisper-generated transcriptions from short videos and applies advanced LLM logic to correct errors, remove oral fillers, and organize content into a readable format. It is an essential component for creators and researchers who need to turn spoken video content into actionable, written knowledge without manual intervention.
This module is designed to be executed directly by an AI agent. To integrate it into your workflow, ensure your environment is configured to support Openclaw Skills. For manual preprocessing or basic text cleaning, an optional Python script is provided:
# Navigate to the scripts directory and run the analyzer
python scripts/analyzer.py /path/to/transcript.txt
The Douyin Analyzer organizes processed data into a standardized Markdown structure for maximum compatibility:
| Section | Content Type | Purpose |
|---|---|---|
| Header | Metadata | Contains video title, author, and source link |
| Transcript | Structured Text | Segmented content with semantic subheadings |
| Core Points | Bulleted List | Highlights the primary takeaways and conclusions |
| Tags | Hashtags | 3-5 thematic labels for categorization and search |
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