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Bento Slides

Community
open-fox
bento-slides

Create and edit Bento presentations — single-file .bento.html decks whose document is plain JSON in a "#bento-doc" script block. Use whenever the user wants a slide deck or presentation: starting from NOTHING (it downloads the latest Bento app from bento.page automatically), from source material, or by improving an existing .bento.html. Maps content to the right feature (charts, morph transitions, state slides, ken-burns, motion paths) instead of static text slides, then writes the document JSON in place. Full schema + recipes at https://bento.page/agents.md.

Overview

Publisheropen-fox
Repositoryagents
Skill namebento-slides
Stars
55
Forks
19
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by open-fox on GitHub. Read the source before you install it.

Installation

Install the Bento 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.
    https://github.com/open-fox/agents/tree/main/skills/bento-slides
  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/open-fox/agents.git /tmp/agents
mkdir -p .claude/skills
cp -r /tmp/agents/skills/bento-slides .claude/skills/bento-slides
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bento 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 Bento 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 Bento 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.

Authoring Bento decks

A Bento deck is one self-contained .bento.html file. The document is plain JSON in a single block:

html
<script type="application/bento+json" id="bento-doc"> { "format":"bento/slides", ... } </script>

You edit that block only, in place. Escape every < in the JSON as \u003c so it can never contain a literal </script>. Leave the rest of the file (the compressed runtime) untouched. In a chat context instead, the user copies the JSON out (Save ▾ → Copy document JSON) and pastes your replacement back (Save ▾ → Replace from JSON…); window.bento.loadDoc(json) does it from the console.

Starting from nothing

The user does NOT need Bento installed — the app ships inside every deck. When there is no .bento.html to edit, fetch the latest signed release yourself and author into it:

bash
# name the file after the deck's topic, e.g. Q4_Review.bento.html
curl -fsSL https://bento.page/releases/slides/Bento_Slides.bento.html -o "<Topic>.bento.html"

(Windows without curl: iwr https://bento.page/releases/slides/Bento_Slides.bento.html -OutFile <Topic>.bento.html.)

Then verify the download contains id="bento-doc", and write your document into that block. The block is empty in the downloaded file — a browser mints a showcase deck on first open, but on disk there is nothing to discard and nothing to copy from, so do not go looking for it. Rules for a fresh document:

  • Fetch https://bento.page/agents.md BEFORE authoring and start from its "Minimal valid document" skeleton. size and theme (including theme.fontFamily) are required — the app will not boot without them.
  • Fully specify element fields as the skeleton shows (shapes need stroke/strokeWidth; text needs fontFamily/align/valign) — missing fields render wrong or not at all.
  • Omit docId and collab entirely: the app mints a fresh identity and dormant collaboration credentials on first open.

When done, open it (open / xdg-open / start) — the file boots straight into the editor with the finished deck — and look at every slide before you report done. Text overflow, elements crowding each other, a heading that wrapped to three lines and a chart key the renderer dropped are all invisible in the JSON and obvious on screen. Author, render, check, fix; a deck nobody looked at is not finished.

Workflow

  1. Find the document. Locate the #bento-doc block; parse its JSON. Note doc.size (canonical 1280×720), doc.theme, existing element ids, and whether doc.template/doc.readonly are set.

    Check doc.collab first. If it carries ownerPriv, writerPriv or invite, this deck's live-session keys are in the file you are about to read — and anything that receives the file or its JSON can join that session and write to it. That is by design: the file is the invitation. Tell the user before you continue, because only they can decide, and they may not know the deck is shared. Offer the alternative: a read-only copy, or Share → Stop sharing on a duplicate. If it has already gone somewhere, the remedy is Share → Rotate keys — removing the keys afterwards does not retract them.

  2. Read the source material the user gave you and classify each piece — is it a stat? a table? a process? a definition to expand? a photo?

  3. Map material → feature (do NOT default to bullet text). This is the step that makes it a Bento deck rather than a slideshow of paragraphs:

    • numbers to compare visually (trend, magnitude, share) → a chart element
    • a comparison / spec / pricing / feature grid → a table element (columns weights + rows of cells + a style object)
    • consecutive slides about the same thing changing → morph: give shared elements the same id on both slides + transition:"morph" on the later one (Bento's signature move — reach for it liberally)
    • a point to drill into → a state slide (stateOf + element link)
    • a hero / full-slide image → full-bleed image + scrim rect + text, with ken-burns drift
    • a sequence / flow / timeline → a line/path with a dash-march loop, or morph a highlight through the steps
    • a headline number → big text + fx:{countUp:true}
    • every cover / divider → at least one ambient motion
    • repeated chrome / logo → keep its id stable across slides so it morphs in place
    • a demo clip / recording / soundbite → a media element (kind: video|audio); embed short clips as a data URI, link big ones by URL to keep the file small
  4. Author using the schema. Keep the full schema and copy-paste recipes open: fetch https://bento.page/agents.md (it has the element shapes, the morph/chart/state/ken-burns snippets, and the gotchas). Respect one accent colour, ≤2 typefaces, 96px side margins (right-most x ≤ 1184), and write speaker notes on each slide.

  5. Self-audit before finishing:

    • any numbers rendered as text that should be a chart?
    • do consecutive slides on one subject share ids + transition:"morph"?
    • at least one motion moment (ken-burns / loop / count-up), esp. the cover?
    • a drill-down that would work better as a state slide?
    • one accent colour, ≤2 typefaces, 96px margins?
    • speaker notes on every slide?
  6. Write back the edited #bento-doc block (escaping <), or return the replacement JSON. Never regenerate the whole HTML file.

Critical gotchas

  • Charts: bar/line series data must be plain numbers ({value,…} item objects coerce to 0 — only pie takes {name,value}); colour by series, not per bar; option is pure JSON, template formatters only ({b}/{c}/{d}), never functions.
  • Morph needs deterministic, stable ids shared across the slides that should animate together. Different ids = no morph (elements just cut).
  • Images/fonts must be embedded as data URIs in doc.assets and referenced by "asset:<key>" — the file stays self-contained.
  • Media: a media element (kind: video|audio) embeds short clips as a data URI in src (self-contained) or references a URL for big files (keeps the deck small). autoplay runs only in present mode and needs muted:true for video. Don't embed large videos — they bloat the file.
  • Never regenerate docId when editing an existing deck; it is the document's identity. (Fresh decks omit it — the app mints one.)
  • template:true → every open mints a fresh deck; readonly:true → the file boots straight into the show with no editor.

Working examples of every technique: open any template at https://bento.page and read its #bento-doc block.

Frequently asked questions

What does the Bento Slides AI skill do?

Create and edit Bento presentations — single-file .bento.html decks whose document is plain JSON in a "#bento-doc" script block. Use whenever the user wants a slide deck or presentation: starting from NOTHING (it downloads the latest Bento app from bento.page automatically), from source material, or by improving an existing .bento.html. Maps content to the right feature (charts, morph transitions, state slides, ken-burns, motion paths) instead of static text slides, then writes the document JSON in place. Full schema + recipes at https://bento.page/agents.md.

Why use Bento Slides on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/open-fox/agents/tree/main/skills/bento-slides. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Bento 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 Bento Slides?

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

Is the Bento Slides AI skill free?

It is published on GitHub by open-fox. Check the repository for licensing terms. 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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