given the target directory structure mentioned above and the raw files, the Cursor IDE automatically analysis and arrange the files based on the content in each files, (thats split and merge, etc)

Yes, you can automate this process in Cursor IDE using Agent mode. Here's how to do it:

1. Initial Command to Process Docs

# Tell Cursor to analyze and organize docs
/run python process_docs.py raw_docs/ docs/

Or directly through AI commands:

# 1. First analyze all raw files
/list_dir raw_docs/

# 2. Have Cursor analyze and reorganize
/edit docs/

With a prompt like:

Please analyze all files in raw_docs/ and:
1. Categorize them based on content (API, guides, tutorials, reference)
2. Split large files if they contain multiple topics
3. Merge related small files
4. Organize them into the following structure:
   - docs/
     ├── api/
     ├── guides/
     ├── tutorials/
     └── reference/
4. Generate appropriate SUMMARY.md

The AI will:

• Analyze content patterns
• Identify document types
• Split/merge files as needed
• Place files in appropriate directories
• Create cross-references
• Generate navigation structure

This is more efficient than manual grep/edit commands and maintains semantic relationships between documents.

Would you like me to provide a specific example with sample raw docs?