An AI skill is a structured system prompt or set of custom instructions that gives AI assistants like ChatGPT, Claude, and Gemini specialized capabilities. It includes a clear role definition, specific knowledge areas, step-by-step processes, and quality criteria that help AI perform specific professional tasks.

How does Skill This work?

Simply describe your professional expertise in plain text. Our free AI skill generator analyzes your input and transforms it into a structured system prompt. The skill is then graded on clarity, specificity, and usefulness. You can share your skill via a unique URL or copy it to use as custom instructions with any AI assistant like ChatGPT, Claude, or Gemini.

Is Skill This free to use?

Yes, Skill This is completely free. No account or payment is required. You can create unlimited skills and share them with anyone.

How is my skill graded?

Skills are graded on a scale from A+ to F (0-100 points). The grade reflects how clear, specific, and actionable your skill is. Higher grades indicate skills that AI assistants can use more effectively.

How do I use my skill with an AI assistant?

Copy your generated skill and paste it into the system prompt or custom instructions of any AI assistant. For ChatGPT, use Personalization > Custom Instructions. For Claude, add it to a Project's instructions. For Cursor or other IDEs, save it as a .cursorrules or CLAUDE.md file. The AI will then adopt that skill and perform tasks according to your expertise.

AI Skill Report Card

Converting Documents to Webpages

A-84·Aug 29, 2026·Source: Web

YAML
---
name: converting-documents-to-webpages
description: Converts PDFs, Word docs, and PowerPoint presentations into styled HTML webpages while preserving original text, images, fonts, colors, and layout. Use when a source document (PDF/DOCX/PPTX) needs to become a faithful, browsable webpage that retains its visual identity and theme.
---

Quick Start14 / 15

Given Notes.pdf, produce notes.html + assets/ folder:

Open the document and extract raw text, images, and style metadata (fonts, colors, spacing).
Save extracted images into an assets/ folder next to the output HTML.
Build an HTML file that mirrors the document's structure (headings, paragraphs, image placement) and embeds/links the extracted images.
Derive a CSS theme (color palette, font stack) from the document and apply it via a <style> block or linked stylesheet.
Open the HTML in a browser and visually diff it against the original document.

HTML
<!DOCTYPE html>
<html>
<head>
  <meta charset="UTF-8">
  <title>Notes</title>
  <style>
    body { font-family: 'Calibri', sans-serif; color: #222222; background: #ffffff; }
    h1 { color: #1F4E79; font-family: 'Georgia', serif; }
    img { max-width: 100%; height: auto; display: block; margin: 1em 0; }
    .content { max-width: 800px; margin: 0 auto; padding: 2em; }
  </style>
</head>
<body>
  <div class="content">
    <h1>Section Title</h1>
    <p>Extracted paragraph text...</p>
    <img src="assets/image1.png" alt="Extracted graph">
  </div>
</body>
</html>

Recommendation▾

Add guidance on tooling/libraries (e.g., pdf.js, python-docx, mammoth, pptx parsers) for scriptable extraction rather than leaving it abstract

Workflow14 / 15

Progress:

Step 1: Open source document and identify structural sections (title, headings, body, captions)
Step 2: Extract all embedded media (images, charts, graphs) into an assets/ folder with descriptive filenames
Step 3: Identify styling — fonts used, heading/body colors, background colors, accent colors
Step 4: Extract text content in reading order, preserving paragraph breaks and emphasis (bold/italic)
Step 5: Map document structure to semantic HTML (h1-h6, p, ul/ol, table, figure/figcaption)
Step 6: Build a CSS theme file from extracted fonts/colors (define as CSS variables for reuse)
Step 7: Assemble the HTML, embedding images with correct relative paths and alt text
Step 8: Preview in browser and compare against the original page-by-page
Step 9: Fix layout mismatches (spacing, image sizing, font fallbacks for missing web fonts)

Extraction details

Images: extract at original resolution; don't screenshot pages. Name files by content/order (fig1-chart.png) not generic names.
Fonts: if the document uses a non-web-safe font, map it to the closest Google Font or system font stack and note the substitution.

Colors: sample heading color, body text color, background, and any accent/highlight colors. Store as CSS custom properties:

CSS
:root {
  --color-primary: #1F4E79;
  --color-text: #222222;
  --color-bg: #ffffff;
  --font-heading: 'Georgia', serif;
  --font-body: 'Calibri', sans-serif;
}

Layout: multi-column PPT slides become flex/grid sections; single-column docs become a centered max-width container.

Recommendation▾

Include a concrete before/after diff example showing actual extracted text vs final HTML output to strengthen example quality

Examples16 / 20

Example 1: Input: report.docx with a blue-themed title page, two charts, and body text in Calibri. Output: report.html + assets/chart1.png, assets/chart2.png with :root CSS variables --color-primary: #2E5AAC, --font-body: 'Calibri', sans-serif, headings styled with the primary color, charts embedded as <figure> elements with captions.

Example 2: Input: pitch.pptx, 10 slides, dark background theme with white text and a logo on every slide. Output: One HTML page with 10 <section class="slide"> blocks (or 10 linked HTML files), each inheriting --color-bg: #121212; --color-text: #ffffff;, logo extracted once to assets/logo.png and reused via CSS background-image or <img> in a shared header/footer.

Recommendation▾

Address edge cases like tables with merged cells, embedded fonts requiring licensing checks, or scanned/image-only PDFs requiring OCR

Best Practices

Preserve reading order, not just visual position — screen readers and text selection depend on it.
Use semantic HTML (h1-h6, figure, blockquote, table) instead of generic div/span for everything; it keeps structure faithful and improves accessibility.
Extract theme colors/fonts into CSS variables once, then reference them everywhere — makes later theme tweaks a one-line change.
Compress extracted images (PNG for graphics/screenshots, JPEG for photos) to keep page weight reasonable.
Always add alt text to images, generated from captions or nearby text if available.
Keep a consistent naming convention for assets (page1-img1.png) so large documents stay organized.
For multi-page documents, decide upfront: one long scrolling HTML page, or multiple linked pages (mirrors PPT slides well; mirrors long reports poorly).

Common Pitfalls

Don't screenshot entire pages as images — this destroys text selectability, SEO, and accessibility.
Don't hardcode pixel-perfect absolute positioning copied from a PDF; it breaks on different screen sizes. Use flow-based layout (flex/grid) that approximates the original design.
Don't skip font-fallback stacks — if the original font isn't web-safe or licensed for web embedding, always specify a fallback.
Don't leave images unoptimized (multi-MB PNGs) — this makes the resulting webpage slow.
Don't flatten headings into styled <p> tags — this breaks document outline/SEO/accessibility.
Don't rely purely on manual copy-paste for large documents — for anything beyond a few pages, use a scriptable extraction approach (e.g., a PDF/DOCX parsing library) to avoid missed content and manual errors.