ais-branding-docx

To generate branded Word documents from JSON input, use the provided Python script with the python-docx library to populate a predefined template. You provide structured JSON data containing titles, sections, and content blocks to output a formatted .docx file.

Yes, python-docx can populate a Word template with cover pages and sections. This Skill uses the library to map structured JSON input into a branded document template, accurately placing content blocks while preserving predefined formatting and styling.

To run this document generation script, you need Python 3.10 or higher and the uv package manager. The required dependencies, including python-docx and jsonschema for validating your JSON input, are managed automatically through uv.

Automating technical writing workflows with consistent branding is best achieved through template-based generation. By defining a branded template and feeding it structured JSON data, you ensure every generated document maintains identical cover pages, sections, and formatting.

JSON input for Word document generation requires a specific structure to ensure accurate content placement. The Skill uses the jsonschema dependency to validate the JSON structure before populating the template with cover pages, sections, and content blocks.

Word document generation using uv may fail if your Python environment is below version 3.10 or if the JSON input does not match the required schema. Ensure uv correctly installs python-docx and jsonschema before executing the generation script.