legislative-flattener

Flatten hierarchical legislative text by converting DOCX files into a flat, numbered list of discrete requirements. The Skill reads document structure and numbering metadata, identifies parent-child relationships, and exports to XLSX, CSV, JSON, or Markdown while preserving full context paths for traceability.

Yes. The Skill detects normative language (SHALL, MUST, SHOULD, MAY) and classifies requirement types as Mandate, Prohibition, Permission, Definition, or Informative. This classification speeds up cross-framework mapping and compliance analysis workflows.

Export flattened requirements to XLSX, CSV, JSON, or Markdown formats. Multiple export options let you choose the format that fits your reporting, analysis, or downstream compliance documentation needs.

Install python-docx and openpyxl via pip. These dependencies enable reading Word document structure and writing to Excel exports; basic usage is python flattener_utility.py input.docx output.xlsx.

The Skill preserves hierarchical references and generates context paths for each flattened requirement, maintaining traceability back to parent sections. This lets you map nested regulatory structures into flat requirement lists while retaining the source hierarchy for audit and compliance reporting.

The Skill processes Word DOCX files containing legislative or regulatory text with hierarchical numbering and structure. It's designed for requirement mapping, compliance analysis, regulatory reporting, and documentation processing across standards and regulatory frameworks.