file-organization

To organize files, you can describe your current folder structure to establish a coherent layout. The process applies heuristic rules and categorization to group files by type, renaming and restructuring directories across multiple project manifest types.

Enforcing file naming conventions is achieved by defining robust directory-naming rules applied across your project roots. The system identifies 18 project manifest types, like package.json or pyproject.toml, to quickly establish and maintain consistent naming structures.

Identifying project roots during directory cleanup uses 18 Project Manifest Type detection. It scans for files like pyproject.toml and package.json to quickly classify project boundaries and apply appropriate file categorization rules for restructuring.

Yes, automated categorization handles ambiguous files during archival cleanup. It uses intelligent heuristic rules to group files by type, and leverages LLM-assisted categorization when ambiguity arises to ensure accurate directory restructuring.

To track changes during directory restructuring, an audit trail records organizational actions and maintains change history. This provides an auditable trail of file renaming and categorization actions, allowing you to view and revert changes if needed.