Frontend Slides

Overview

This public intake copy packages

plugins/antigravity-awesome-skills-claude/skills/frontend-slides

https://github.com/sickn33/antigravity-awesome-skills

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses

metadata.json

ORIGIN.md

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

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Design Aesthetics, Phase 0: Detect Mode, Phase 1: Content Discovery (New Presentations), Phase 2: Style Discovery, Phase 3: Generate Presentation, Phase 4: PPT Conversion.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• Use when the user asks to create a presentation, slide deck, or pitch from scratch.
• Use when the user wants to convert an existing PPT or PPTX file into a web-based presentation.
• Use when designing visually rich, animated HTML content that needs to fit exactly within the viewport.
• Use when the request clearly matches the imported source intent: Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files.
• Use when the operator should preserve upstream workflow detail instead of rewriting the process from scratch.
• Use when provenance needs to stay visible in the answer, PR, or review packet.

Operating Table

metadata.json

ORIGIN.md

scripts/extract-pptx.py

STYLE_PRESETS.md

## Related Skills

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: 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!

Examples

Example 1: Ask for the upstream workflow directly

Use @frontend-slides to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @frontend-slides against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @frontend-slides for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @frontend-slides using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

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

Imported Operating Notes

Imported: 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.

Imported: 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

Content Density Limits Per Slide

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

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in

plugins/antigravity-awesome-skills-claude/skills/frontend-slides

metadata.json

ORIGIN.md

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated

SKILL.md

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @2d-games

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @3d-games

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @daily-gift

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

• @design-taste-frontend

  - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

references

references/n/a

examples

examples/n/a

scripts

scripts/extract-pptx.py

agents

agents/n/a

assets

assets/n/a

• extract-pptx.py
• STYLE_PRESETS.md
• animation-patterns.md
• html-template.md
• extract-pptx.py
• viewport-base.css

Imported Reference Notes

Imported: 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.

Imported: 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.

Imported: 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.

Save previews to

.claude-design/slide-previews/

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.

Imported: 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

Imported: 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)

Imported: 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

Imported: Supporting Files

Imported: Limitations

• Use this skill only when the task clearly matches the scope described above.
• Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
• Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.