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Slideshow

OrganizationPopular
heygen-com
slideshow

Build a HyperFrames slideshow to present live - slides, fragment reveals, branching hotspots and presenter mode with speaker notes, served by `hyperframes present` - or turn an existing page into one. Use when the person wants a deck or presentation rather than a rendered video.

Overview

Publisherheygen-com
Repositoryhyperframes
Skill nameslideshow
Stars
73.3K
Forks
6.6K
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

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

  • Open source

    Published by heygen-com on GitHub. Read the source before you install it.

Installation

Install the Slideshow 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.
    https://github.com/heygen-com/hyperframes/tree/main/skills/slideshow
  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/heygen-com/hyperframes.git /tmp/hyperframes
mkdir -p .claude/skills
cp -r /tmp/hyperframes/skills/slideshow .claude/skills/slideshow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Slideshow 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 Slideshow 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 Slideshow 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.

Plugin installs: Before setup or freshness commands, follow plugin execution rules when this skill is inside a HyperFrames plugin.

HyperFrames slideshow

A slideshow is a normal composition (the /hyperframes contract applies) plus one JSON island that says which scenes are slides and how they connect. The deliverable is a running deck, not an MP4.

What changes from a video project

  • Each slide is a top-level scene in the composition file: data-composition-id, data-start, data-duration, data-label, data-width, data-height. There is no master root composition wrapping them.
  • One island per composition, near the top of <body>, written in the HTML (never generated by script; present reads the file statically):
html
<script type="application/hyperframes-slideshow+json">
  {
    "slides": [
      { "sceneId": "hook", "notes": "Pause on the number." },
      {
        "sceneId": "problem",
        "fragments": [11.0, 15.0],
        "hotspots": [
          {
            "id": "h1",
            "label": "Where does $40B come from?",
            "target": "market-detail",
            "region": { "x": 55, "y": 60, "w": 40, "h": 20 }
          }
        ]
      }
    ],
    "slideSequences": [
      { "id": "market-detail", "label": "Market sizing", "slides": [{ "sceneId": "mkt-math" }] }
    ]
  }
</script>
  • sceneId equals a scene's data-composition-id (or give startTime/endTime). notes are presenter-only. ttsScript, ttsAudioUrl and ttsDurationMs are reserved and not wired yet.
  • Fragments are absolute timeline times (the same clock as data-start, not offsets inside the slide) within the slide's [start, end]. Navigation seeks, it never plays: each hold state must look right when the timeline is seeked straight to that time. A slide without fragments enters at a rest frame inside it.
  • Branch slides are ordinary scenes listed only in slideSequences, never in the main slides array. A hotspot's target is a sequence id; region is a percentage box (omit it for a full-slide button). Back returns to the slide that held the hotspot.
  • Text the audience must read is at least 40 px at 1920×1080. Before hand-building any named visual, search npx hyperframes catalog --query "<the visual, in English>" --json: it ranks the whole registry with nothing installed.

Porting an existing page

  • Keep the source's look, motion, interactions and media behaviour; port its widgets, players and visualizers rather than approximating them.
  • Movement the page drove by scroll, wheel or a camera layer becomes a camera move from one focal point to the next on slide navigation, never a page visibly scrolling. Keep each move direct, without reversals the source doesn't make.
  • Screenshots, posts, charts, code and any image with readable text are evidence: keep their aspect (object-fit: contain) and check all four edges for crops.
  • Every copied <video>/<audio> needs data-start and data-duration (data-has-audio="true" when its sound plays), and no preload="none". Custom media chrome reads the native element's events and currentTime, never its own timer.
  • Hidden stacked slides need opacity: 0, visibility: hidden and pointer-events: none together, or an invisible layer swallows clicks.

Present and hand off

  • Never render a deck to MP4: render keeps only the first scene and truncates silently. For stills, snapshot --at each slide.
  • Run npx hyperframes check --json until it is clean. The slideshow rule checks that every sceneId resolves, every hotspot target exists, fragments sit inside their slide, and main-line slides don't overlap.
  • Serve it with npx hyperframes present <project-dir> and hand over the URL it prints: "Click Present, or press P, to open the audience tab."
  • The project's root index.html should open as a working deck: <hyperframes-slideshow> around <hyperframes-player src="…">, with the raw composition in a subfolder if needed. The component owns Present (P), Prev/Next, the counter, global mute, fullscreen, swipe, hotspots, presenter notes (editable, kept per deck) and stopping media on slide exit. Don't build your own versions of any of these.
  • Screen sharing: in Google Meet share the audience tab, which keeps rendering in the background. In Zoom drag the audience tab into its own window and share that; a fully covered window freezes.
  • A deck opened from the bare player bundle without present needs workarounds: references/standalone-harness.md.

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 Slideshow AI skill do?

Build a HyperFrames slideshow to present live - slides, fragment reveals, branching hotspots and presenter mode with speaker notes, served by `hyperframes present` - or turn an existing page into one. Use when the person wants a deck or presentation rather than a rendered video.

Why use Slideshow on TypingMind?

Because you install it once and use it with any model. Slideshow 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 Slideshow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/heygen-com/hyperframes/tree/main/skills/slideshow. 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 Slideshow?

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 Slideshow?

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

Is the Slideshow AI skill free?

Yes. It is published on GitHub by heygen-com under the Apache-2.0 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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