| name | docx-to-web-publisher |
| description | Converts .docx files (papers, briefs, reports) into styled React component pages in a Next.js content-catalog site. Use when publishing a Word document as a structured web page. |
| model | sonnet |
docx-to-web Publisher
Convert a .docx document into a fully structured, styled web page within a
Next.js site that uses a content catalog pattern (product array, detail page
route, optional knowledge graph).
When to use
- User has a
.docx file and wants it published on their Next.js site
- User says "publish this paper/brief/report" and there's a .docx involved
- User wants to add a research document to a content library or wisdom library
- Converting any structured Word document to a web-rendered page
Prerequisites
- Next.js App Router project with a content catalog pattern (a TypeScript
data array + dynamic
[slug]/page.tsx route)
- ImageMagick (
convert/magick) for cover image generation (optional)
- Python 3 for .docx extraction if pandoc isn't available
Workflow
Step 1: Audit the site's content architecture
Before touching the document, understand how the site organizes content.
Find and read:
- Data catalog file — the TypeScript array of content items (e.g.,
src/data/products.ts, src/data/wisdomProducts.ts). Note the interface
fields: slug, title, description, author, format, tags, etc.
- Detail page — the
[slug]/page.tsx that renders individual items.
Note what components it uses and how it handles different content formats.
- Listing page — the page that lists all items. Check for format icon
maps (
Record<Format, Icon>) that need updating.
- Knowledge graph (if present) — tag aliases and taxonomy mappings.
- Format types — the union type for content formats. You may need to
add a new format (e.g.,
'research').
Step 2: Extract content from the .docx
Use the approach that's available:
pandoc document.docx -t markdown -o content.md
python3 -c "
import xml.etree.ElementTree as ET, zipfile, sys
# Extract text with style markers from document.xml
..."
If using the docx skill's unpack script, that works too. The goal is to get
the full text with structural markers (heading levels, list items, table
boundaries).
Read the extracted content carefully. Identify:
- Title and subtitle
- Section headings (H1, H2, H3)
- Data tables (columns, rows, header rows)
- Bullet/numbered lists
- Callout boxes or highlighted sections (investor implications, key findings)
- Author attribution and date
- Statistics or key metrics that could become a hero section
Step 3: Add format type and catalog entry
If the site's format union type doesn't include a suitable format for
research/report content, add one:
export type ProductFormat = '...' | 'research';
research: 'Research Brief',
Then add the content item to the data catalog array:
{
slug: 'kebab-case-title',
title: 'Full Document Title',
description: '1-2 sentence teaser summarizing the document.',
longDescription: [
'Summary paragraph 1 — the challenge or situation.',
'Summary paragraph 2 — the resolution or key finding.',
'Summary paragraph 3 — scope of what the full document covers.',
],
author: {
name: 'Author Name',
profileHref: '/experts/author-slug',
},
format: 'research',
coverImage: '/path/to/cover.png',
tags: ['Tag1', 'Tag2', 'Tag3'],
featured: true,
createdAt: 'YYYY-MM-DD',
}
Update ALL files that use Record<Format, ...> — search the codebase for
the format type name. Every icon map, label map, etc. must include the new
format. Missing one causes a TypeScript build error.
Step 4: Create the rich content component
Create a new file for the full document content. Location pattern:
src/content/{collection}/{slug}.tsx
This is the core of the skill. Convert the extracted document structure
into a React server component with proper Tailwind styling:
Component template: See assets/template-content-component.tsx
Key patterns to follow:
- Wrapper:
<article className="prose prose-neutral dark:prose-invert max-w-none">
- Tables: Wrap in
<div className="not-prose overflow-x-auto mb-8 text-neutral-700 dark:text-neutral-200"> — the not-prose prevents Tailwind prose from mangling table styles. Always add explicit text colors for dark mode contrast.
- Callout boxes: Use colored
div with border, background, and label (see template for investor/technical/info callout patterns)
- Stats grids:
not-prose grid grid-cols-2 md:grid-cols-4 for hero metric blocks
- Table headers: Always include
text-neutral-900 dark:text-white for contrast
- Table row names: Add
font-medium text-neutral-900 dark:text-white to the first column
- Alternating rows:
bg-neutral-50 dark:bg-neutral-800/30 on even rows
- HTML entities: Use
—, –, ×, ' etc. — never raw special characters in JSX
Common contrast mistakes to avoid:
- Tables inside
not-prose lose inherited text color — always set it explicitly
- Dark mode backgrounds need lighter text —
dark:text-neutral-200 minimum
- Header cells need
dark:text-white to stand out from body cells
- Green/emerald metric values: use
text-emerald-700 dark:text-emerald-400
Step 5: Create the content registry
Create an index file that maps slugs to content components:
src/content/{collection}/index.ts
import type { ComponentType } from 'react'
type ContentModule = { default: ComponentType }
const contentRegistry: Record<string, () => Promise<ContentModule>> = {
'my-slug': () => import('./my-slug'),
}
export function hasRichContent(slug: string): boolean {
return slug in contentRegistry
}
export async function getRichContent(slug: string): Promise<ComponentType | null> {
const loader = contentRegistry[slug]
if (!loader) return null
const mod = await loader()
return mod.default
}
If the registry already exists, just add a new entry.
Step 6: Extend the detail page
Modify the [slug]/page.tsx to:
- Import
getRichContent from the content registry
- Make the page component
async (if not already)
- Call
const RichContent = await getRichContent(params.slug)
- Render
{RichContent && <div className="mb-8 border-t ..."><RichContent /></div>} after the summary section
- Add the new format's icon to any
formatIcons record
Step 7: Update the knowledge graph (if present)
If the site has a knowledge graph generator:
- Add TAG_ALIASES for new concept tags (lowercase → display name)
- Add TAXONOMY entries mapping concepts to categories with colors
- Existing tags that already have aliases/taxonomy entries don't need changes
The document's tags will automatically create new nodes and co-occurrence
edges in the graph at the next build.
Step 8: Generate a cover image
Create an SVG with the document's title, author, key metrics, and branding,
then convert to PNG:
magick cover.svg -resize 800x600 public/path/to/cover.png
If ImageMagick isn't available, create a simple placeholder or ask the user
to provide one.
Step 9: Build and verify
npm run build
Check:
- Detail page renders with full structure
- Listing page shows the new item
- Knowledge graph (if present) shows new concepts
- Dark mode contrast is readable on all tables and callouts
Step 10: Commit and push
Stage all changed files and commit with a descriptive message.
Troubleshooting
| Issue | Cause | Fix |
|---|
Property 'research' is missing in type | A Record<ProductFormat, ...> wasn't updated | Search for all Record<ProductFormat and add the new format |
| Tables unreadable in dark mode | not-prose strips inherited text color | Add text-neutral-700 dark:text-neutral-200 to table wrapper div |
| Build fails on page component | await used in non-async component | Add async to the page function signature |
| Cover image not found | Wrong path or missing file | Verify path matches coverImage field in catalog entry |
| Tags not appearing in graph | Missing TAG_ALIASES entry | Add lowercase tag → display name mapping |