frontendslides

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a...

Security Scan

The skill's files, runtime instructions, and minimal requirements are coherent with its stated purpose (creating HTML presentations and converting PPTX); there are no unexplained credential requests or hidden network endpoints in the bundle.

Purpose & Capability

The skill is a presentation generator / PPTX converter. The included Python script (scripts/extract-pptx.py) legitimately supports PPTX extraction, the CSS/MD templates are appropriate for HTML generation, and the README/SKILL.md call out the same capabilities. Required tooling (python-pptx, Pillow for optional image processing) is proportional to the conversion and image pipeline features.

Instruction Scope

SKILL.md instructs the agent to generate single-file HTML slides, read and include viewport-base.css, optionally process images (Pillow) and run the provided extract-pptx.py to dump slide content/assets. The instructions do not request unrelated files, credentials, or unexpected external endpoints. Note: generated HTML templates reference external font providers (Fontshare/Google Fonts) so a viewer's browser will make network requests to those services when opening the output — this is expected for font hosting but is an external dependency.

Install Mechanism

This is instruction-only with no automated install spec (no code auto-downloaded or executed by an installer). The README suggests optional git cloning from a GitHub repo and manual copying. The only active code is the small extract-pptx.py script that writes extracted images and a JSON file locally. Because there is no automatic download-from-arbitrary-URL step in the skill bundle itself, install risk is low — but cloning an external repo (optional in README) would be an external action the user should vet.

Credentials

The skill declares no required environment variables, no credentials, and no config paths. All file I/O is local (writing extracted images to a local assets/ directory and writing extracted-slides.json). There are no secret-looking environment variables requested.

Persistence & Privilege

The skill is not always-enabled and does not request elevated or persistent platform privileges. It does not attempt to modify other skills or global agent config. Autonomous invocation is allowed (platform default) but not combined with other concerning flags.

Assessment

This skill appears to do what it says: generate single-file HTML presentations and convert .pptx files using the included extractor. Before using it: 1) review scripts/extract-pptx.py yourself (it only uses python-pptx, writes extracted images to a local assets/ folder, and writes a JSON file); 2) if you will run the optional image pipeline, install Pillow and python-pptx in an isolated environment (venv) to avoid affecting system packages; 3) be aware generated HTML may load fonts from Google/Fontshare (your browser will contact those services when opening the file); 4) if following README instructions to git clone an external repo, inspect that repository first — cloning arbitrary external repos is separate from the skill bundle and increases risk. If you want additional assurance, run the Python extractor on a non-sensitive sample PPTX in a sandbox first and confirm outputs before processing confidential slides.

Create zero-dependency, animation-rich HTML presentations that run entirely in the browser.

Core Principles

1. Zero Dependencies — Single HTML files with inline CSS/JS. No npm, no build tools.
2. Show, Don't Tell — Generate visual previews, not abstract choices. People discover what they want by seeing it.
3. Distinctive Design — No generic "AI slop." Every presentation must feel custom-crafted.
4. Viewport Fitting (NON-NEGOTIABLE) — Every slide MUST fit exactly within 100vh. No scrolling within slides, ever. Content overflows? Split into multiple slides.

Design Aesthetics

You tend to converge toward generic, "on distribution" outputs. In frontend design, this creates what users call the "AI slop" aesthetic. Avoid this: make creative, distinctive frontends that surprise and delight.

Focus on:

• Typography: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the frontend's aesthetics.
• Color & Theme: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes. Draw from IDE themes and cultural aesthetics for inspiration.
• Motion: Use animations for effects and micro-interactions. Prioritize CSS-only solutions for HTML. Use Motion library for React when available. Focus on high-impact moments: one well-orchestrated page load with staggered reveals (animation-delay) creates more delight than scattered micro-interactions.
• Backgrounds: Create atmosphere and depth rather than defaulting to solid colors. Layer CSS gradients, use geometric patterns, or add contextual effects that match the overall aesthetic.

Avoid generic AI-generated aesthetics:

• Overused font families (Inter, Roboto, Arial, system fonts)
• Cliched color schemes (particularly purple gradients on white backgrounds)
• Predictable layouts and component patterns
• Cookie-cutter design that lacks context-specific character

Interpret creatively and make unexpected choices that feel genuinely designed for the context. Vary between light and dark themes, different fonts, different aesthetics. You still tend to converge on common choices (Space Grotesk, for example) across generations. Avoid this: it is critical that you think outside the box!

Viewport Fitting Rules

These invariants apply to EVERY slide in EVERY presentation:

• Every .slide must have height: 100vh; height: 100dvh; overflow: hidden;
• ALL font sizes and spacing must use clamp(min, preferred, max) — never fixed px/rem
• Content containers need max-height constraints
• Images: max-height: min(50vh, 400px)
• Breakpoints required for heights: 700px, 600px, 500px
• Include prefers-reduced-motion support
• Never negate CSS functions directly (-clamp(), -min(), -max() are silently ignored) — use calc(-1 * clamp(...)) instead

When generating, read viewport-base.css and include its full contents in every presentation.

Content Density Limits Per Slide

Slide Type	Maximum Content
Title slide	1 heading + 1 subtitle + optional tagline
Content slide	1 heading + 4-6 bullet points OR 1 heading + 2 paragraphs
Feature grid	1 heading + 6 cards maximum (2x3 or 3x2)
Code slide	1 heading + 8-10 lines of code
Quote slide	1 quote (max 3 lines) + attribution
Image slide	1 heading + 1 image (max 60vh height)

Content exceeds limits? Split into multiple slides. Never cram, never scroll.

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Phase 0: Detect Mode

Determine what the user wants:

• Mode A: New Presentation — Create from scratch. Go to Phase 1.
• Mode B: PPT Conversion — Convert a .pptx file. Go to Phase 4.
• Mode C: Enhancement — Improve an existing HTML presentation. Read it, understand it, enhance. Follow Mode C modification rules below.

Mode C: Modification Rules

When enhancing existing presentations, viewport fitting is the biggest risk:

1. Before adding content: Count existing elements, check against density limits
2. Adding images: Must have max-height: min(50vh, 400px). If slide already has max content, split into two slides
3. Adding text: Max 4-6 bullets per slide. Exceeds limits? Split into continuation slides
4. After ANY modification, verify: .slide has overflow: hidden, new elements use clamp(), images have viewport-relative max-height, content fits at 1280x720
5. Proactively reorganize: If modifications will cause overflow, automatically split content and inform the user. Don't wait to be asked

When adding images to existing slides: Move image to new slide or reduce other content first. Never add images without checking if existing content already fills the viewport.

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Phase 1: Content Discovery (New Presentations)

Ask ALL questions in a single AskUserQuestion call so the user fills everything out at once:

Question 1 — Purpose (header: "Purpose"): What is this presentation for? Options: Pitch deck / Teaching-Tutorial / Conference talk / Internal presentation

Question 2 — Length (header: "Length"): Approximately how many slides? Options: Short 5-10 / Medium 10-20 / Long 20+

Question 3 — Content (header: "Content"): Do you have content ready? Options: All content ready / Rough notes / Topic only

Question 4 — Inline Editing (header: "Editing"): Do you need to edit text directly in the browser after generation? Options:

• "Yes (Recommended)" — Can edit text in-browser, auto-save to localStorage, export file
• "No" — Presentation only, keeps file smaller

Remember the user's editing choice — it determines whether edit-related code is included in Phase 3.

If user has content, ask them to share it.

Step 1.2: Image Evaluation (if images provided)

If user selected "No images" → skip to Phase 2.

If user provides an image folder:

1. Scan — List all image files (.png, .jpg, .svg, .webp, etc.)
2. View each image — Use the Read tool (Claude is multimodal)
3. Evaluate — For each: what it shows, USABLE or NOT USABLE (with reason), what concept it represents, dominant colors
4. Co-design the outline — Curated images inform slide structure alongside text. This is NOT "plan slides then add images" — design around both from the start (e.g., 3 screenshots → 3 feature slides, 1 logo → title/closing slide)
5. Confirm via AskUserQuestion (header: "Outline"): "Does this slide outline and image selection look right?" Options: Looks good / Adjust images / Adjust outline

Logo in previews: If a usable logo was identified, embed it (base64) into each style preview in Phase 2 — the user sees their brand styled three different ways.

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Phase 2: Style Discovery

This is the "show, don't tell" phase. Most people can't articulate design preferences in words.

Step 2.0: Style Path

Ask how they want to choose (header: "Style"):

• "Show me options" (recommended) — Generate 3 previews based on mood
• "I know what I want" — Pick from preset list directly

If direct selection: Show preset picker and skip to Phase 3. Available presets are defined in STYLE_PRESETS.md.

Step 2.1: Mood Selection (Guided Discovery)

Ask (header: "Vibe", multiSelect: true, max 2): What feeling should the audience have? Options:

• Impressed/Confident — Professional, trustworthy
• Excited/Energized — Innovative, bold
• Calm/Focused — Clear, thoughtful
• Inspired/Moved — Emotional, memorable

Step 2.2: Generate 3 Style Previews

Based on mood, generate 3 distinct single-slide HTML previews showing typography, colors, animation, and overall aesthetic. Read STYLE_PRESETS.md for available presets and their specifications.

Mood	Suggested Presets
Impressed/Confident	Bold Signal, Electric Studio, Dark Botanical
Excited/Energized	Creative Voltage, Neon Cyber, Split Pastel
Calm/Focused	Notebook Tabs, Paper & Ink, Swiss Modern
Inspired/Moved	Dark Botanical, Vintage Editorial, Pastel Geometry

Save previews to .claude-design/slide-previews/ (style-a.html, style-b.html, style-c.html). Each should be self-contained, ~50-100 lines, showing one animated title slide.

Open each preview automatically for the user.

Step 2.3: User Picks

Ask (header: "Style"): Which style preview do you prefer? Options: Style A: [Name] / Style B: [Name] / Style C: [Name] / Mix elements

If "Mix elements", ask for specifics.

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Phase 3: Generate Presentation

Generate the full presentation using content from Phase 1 (text, or text + curated images) and style from Phase 2.

If images were provided, the slide outline already incorporates them from Step 1.2. If not, CSS-generated visuals (gradients, shapes, patterns) provide visual interest — this is a fully supported first-class path.

Before generating, read these supporting files:

• html-template.md — HTML architecture and JS features
• viewport-base.css — Mandatory CSS (include in full)
• animation-patterns.md — Animation reference for the chosen feeling

Key requirements:

• Single self-contained HTML file, all CSS/JS inline
• Include the FULL contents of viewport-base.css in the <style> block
• Use fonts from Fontshare or Google Fonts — never system fonts
• Add detailed comments explaining each section
• Every section needs a clear /* === SECTION NAME === */ comment block

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Phase 4: PPT Conversion

When converting PowerPoint files:

1. Extract content — Run python scripts/extract-pptx.py <input.pptx> <output_dir> (install python-pptx if needed: pip install python-pptx)
2. Confirm with user — Present extracted slide titles, content summaries, and image counts
3. Style selection — Proceed to Phase 2 for style discovery
4. Generate HTML — Convert to chosen style, preserving all text, images (from assets/), slide order, and speaker notes (as HTML comments)

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Phase 5: Delivery

1. Clean up — Delete .claude-design/slide-previews/ if it exists
2. Open — Use open [filename].html to launch in browser
3. Summarize — Tell the user:
   • File location, style name, slide count
   • Navigation: Arrow keys, Space, scroll/swipe, click nav dots
   • How to customize: :root CSS variables for colors, font link for typography, .reveal class for animations
   • If inline editing was enabled: Hover top-left corner or press E to enter edit mode, click any text to edit, Ctrl+S to save

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Supporting Files

File	Purpose	When to Read
STYLE_PRESETS.md	12 curated visual presets with colors, fonts, and signature elements	Phase 2 (style selection)
viewport-base.css	Mandatory responsive CSS — copy into every presentation	Phase 3 (generation)
html-template.md	HTML structure, JS features, code quality standards	Phase 3 (generation)
animation-patterns.md	CSS/JS animation snippets and effect-to-feeling guide	Phase 3 (generation)
scripts/extract-pptx.py	Python script for PPT content extraction	Phase 4 (conversion)