Will the equations in my generated DOCX be editable, or are they just images?

Unlike standard AI exports that turn math into static images, this skill uses a specialized Python-based workflow to ensure all mathematical notation remains fully editable within Microsoft Word's native equation editor.

What are the specific technical requirements to run the lb academic docx skill?

The skill requires a local environment with Python 3.11+ and Pandoc 3.x installed. It is designed to integrate with AI agents that have access to local file execution or terminal environments.

How does this skill handle complex layouts for non-Latin languages?

Yes, the skill includes a language_profile.py tool that automatically configures document metadata and font settings specifically for Right-to-Left (RTL) scripts like Arabic and CJK scripts like Chinese, Japanese, or Korean.

What exactly is included in the purchase of this skill?

You will receive the core publishing scripts (publish_docx.py and language_profile.py), the structural schema for Markdown-to-Word mapping, and the necessary configuration files to initialize academic metadata.

Why should I use this skill instead of just asking an AI to convert my text to Word?

This skill is purpose-built for academic structural integrity; it maps Markdown hierarchies to native Word styles and preserves citation labels, which generic LLM prompts often scramble or lose during conversion.

Do I need to install any specific fonts for the multilingual support to work?

While the skill automates style mapping and font configuration, it requires the specific fonts for your target language to be installed on your local system to pass the visual QA check during verification.

Markdown to Word — Editable Equations

Example session with this skill installed

Export my research notes on Quantum Field Theory to DOCX. The language is English, include editable equations for the Path Integral section, and generate a publication report.

Read your context and instructions
Compiled the markdown to word
Generated the document

I have processed the Markdown source for "Quantum Field Theory" and generated the academic artifacts. The equations in the Path Integral section have been converted to editable Office Math objects, and the layout follows the standard academic lecture template.

Artifacts Generated

File Name	Format	Status	Description
`lecture.docx`	DOCX	Success	Main document with editable equations and styled headers.
`publication_report.json`	JSON	Success	Metadata audit, citation check, and font validation logs.
`language_profile.json`	JSON	Success	Resolved settings for English (en) typography.

{
  "document_title": "Quantum Field Theory",
  "language": "en",
  "stats": {
    "equations_converted": 24,
    "citation_ids_preserved": 12,
    "style_errors": 0
  },
  "compliance": "academic-v2"
}

Next steps

Open lecture.docx in a desktop Office viewer to verify the rendering of the LaTeX-style equations.
Review publication_report.json to ensure all 12 citation IDs mapped correctly to your bibliography.
Run the publish_docx.py script again if you need to generate a separate CJK edition for international distribution.

lecture.docx

PDF · document

Generated

Example file from a real run - the skill writes it into your workspace.

Connects securely to your tools. The creator never sees your data.

About this skill

Your equations should stay editable in Word

Markdown to Word converts academic Markdown and supported mathematical notation into an editable DOCX document. It is designed for lecturers and technical authors who need to continue editing the result in Word instead of receiving a page of flattened images.

A document you can continue working on

The publishing workflow maps the document structure to Word styles, preserves supported math as native equation objects and records export results in a publication report. Use it for lecture notes, technical explanations and academic drafts that already exist in Markdown.

The result is not a screenshot of a document: headings, paragraphs and supported formulas remain editable. The specific source syntax still matters, so unsupported math and layout features need to be checked rather than assumed to convert perfectly.

Language-aware layout, not automatic translation

Select the target language profile and suitable installed fonts. The exporter can apply language and direction metadata; it does not translate the source prose. For RTL, CJK and mixed-direction text, inspect the actual document in the viewer used by your audience.

Start with an existing draft

Supply the Markdown file, its local images and the intended language. Export, review the report and inspect the resulting pages. For a full source-to-lecture workflow, use AI Lecture Builder Suite; for prose generation alone, use University Lecture Writer.

Requirements

Local execution requires Python 3.11+, Pandoc 3.x, python-docx and file/terminal access. Fonts and dependencies are installed separately. The workflow does not guarantee compliance with every institutional template or convert every possible LaTeX command. Review typography, page breaks, captions and equations before distribution.

How to use

Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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Markdown to Word — Editable Equations