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Frontend Slides

Community
JasonxzWen
frontend-slides

Load when a task needs a browser-based HTML presentation, talk or pitch deck, existing-deck enhancement, or PPT/PPTX-to-web conversion; do not load for reports, product UI, or interactive courses.

Overview

PublisherJasonxzWen
Repositoryharness-hub
Skill namefrontend-slides
Stars
71
Forks
0
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by JasonxzWen on GitHub. Read the source before you install it.

Installation

Install the Frontend Slides AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/JasonxzWen/harness-hub.git /tmp/harness-hub
mkdir -p .claude/skills
cp -r /tmp/harness-hub/skills/frontend-slides .claude/skills/frontend-slides
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Frontend Slides in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Frontend Slides on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Frontend Slides is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Frontend Slides

Create a polished, self-contained HTML presentation on a fixed 1920×1080 stage that scales uniformly to the browser viewport.

Boundaries

Use this Skill for a presentation artifact:

  • a new talk, pitch, workshop, or internal deck;
  • conversion of an existing .ppt or .pptx to HTML;
  • visual, motion, or layout improvement of an existing HTML deck.

Do not use it for product UI, report pages, public articles, or a codebase-derived interactive course. Route those to frontend-design, effective-interact, source-post, or codebase-to-course.

The core deliverable is local. Do not install dependencies, authenticate services, deploy, upload, or publish merely because a deck was generated. Export or remote sharing is a separate user-authorized action and must reuse tools that are already available.

Fixed-Stage Contract

  • Author every slide at exactly 1920×1080 inside one .deck-stage.
  • Scale the stage as a whole and allow letterboxing or pillarboxing; never reflow slide content by device.
  • Copy the complete viewport-base.css into the final HTML.
  • Control slide visibility with .active and .visible; do not switch slides with display: none and display: block.
  • Keep every slide clipped to its stage. Split content instead of shrinking text into unreadability.
  • Keep controls outside the stage and support keyboard, wheel, and touch navigation.
  • Respect prefers-reduced-motion.

Read viewport-base.css before implementation. Read STYLE_PRESETS.md only when selecting or applying a visual direction, and animation-patterns.md only when motion is part of the accepted direction.

Build

1. Resolve content

Ask only for missing decisions that change the result:

  • purpose and audience;
  • approximate length;
  • available copy, notes, images, or source deck;
  • speaker-led low density or reading-first high density.

Ask independent questions together. If the user already supplied enough context, state the assumptions and continue.

For supplied images, inspect them before outlining the deck. Let usable images influence slide structure instead of treating them as decoration added at the end.

2. Resolve visual direction

If the user named a style or supplied an authoritative brand system, use it.

Otherwise create three compact, self-contained title-slide previews under .frontend-slides/slide-previews/. Make the options genuinely different in typography, palette, composition, and motion. Each preview must look like a real first slide for the user's deck:

  • show real title, author, date, or company content when available;
  • never show internal labels such as preview, option, preset, file paths, prompts, or style slugs;
  • do not turn the user's design instructions into visible slide copy.

Present the three previews for selection before building the full deck. Remove the preview directory at delivery unless the user asks to keep it.

3. Generate

Default to one named .html file with inline CSS and JavaScript. Add an adjacent assets directory only for real user-supplied or extracted media.

Include:

  • semantic main, section, and navigation elements;
  • CSS custom properties for the chosen theme;
  • a small presentation controller with keyboard, wheel, and touch input;
  • a visible progress or slide-position indicator;
  • meaningful reveal transitions, not motion on every element;
  • comments at major structure and theme boundaries;
  • readable contrast, focus visibility, and reduced-motion behavior.

Use the selected density consistently:

  • speaker-led decks favor one idea, large type, and generous space;
  • reading-first decks may use denser grids, tables, annotations, and captions while remaining legible.

4. Convert PowerPoint only with available tools

Preserve slide order, text, images, and speaker notes. Use an existing parser when one is already available. If conversion requires a new package or application, report the missing dependency and ask before installing or adding it.

Do not treat extraction as design fidelity. After confirming extracted content, apply the same visual-direction and fixed-stage process as a new deck.

Verify

Rendered evidence is mandatory. At minimum:

  • inspect every slide at 1920×1080 and 1280×720;
  • inspect the fixed-stage scaling at 768×1024 and 375×667;
  • confirm there is no text overflow, clipped essential content, panel overlap, or internal scrollbar;
  • exercise forward/back keyboard navigation and one pointer or touch path;
  • check the browser console;
  • verify the first slide and one densest slide with reduced motion enabled.

A DOM size check alone does not prove that panels do not overlap. Use rendered screenshots or equivalent visual inspection.

Handoff

Report the absolute file path, slide count, chosen visual direction, validation evidence, and the smallest useful customization points. Mention unavailable export or browser evidence honestly. Do not claim a deployment, upload, or PDF exists unless that separate action succeeded.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Frontend Slides AI skill do?

Load when a task needs a browser-based HTML presentation, talk or pitch deck, existing-deck enhancement, or PPT/PPTX-to-web conversion; do not load for reports, product UI, or interactive courses.

Why use Frontend Slides on TypingMind?

Because you install it once and use it with any model. Frontend Slides is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Frontend Slides in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonxzWen/harness-hub/tree/main/skills/frontend-slides. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Frontend Slides?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Frontend Slides?

As many as you like. As long as a model supports skills, you can use Frontend Slides with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Frontend Slides AI skill free?

Yes. It is published on GitHub by JasonxzWen under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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