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Writing101k · #642

humanize-ppt

Transforms information into visual presentations. Helps create slides with images and diagrams to communicate ideas clearly.

What it does

Transforms your notes or text into a presentation outline, deciding which images or videos to use on each slide. It also reviews the finished presentation to ensure it's easy to deliver.

When to use it

  • ✓When you have a long piece of text and want to turn it into slides.
  • ✓When you want the AI to suggest which images or videos to use.
  • ✓When you want to make sure your presentation is easy to deliver to an audience.

Example of what to ask your AI

“Turn these notes into a presentation outline, suggesting images for each slide: [your notes here]”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/nexu-io/open-design/blob/main/plugins/community/humanize-ppt/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/nexu-io/open-design/blob/main/plugins/community/humanize-ppt/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The AI first organizes your ideas into a logical slide structure. Then, it decides what kind of media (image, diagram, video) would best fit each slide. Finally, it checks if the final presentation is easy for a speaker to deliver.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add nexu-io/open-design --skill humanize-ppt

Or download just the file:

curl -L https://raw.githubusercontent.com/nexu-io/open-design/main/plugins/community/humanize-ppt/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Humanize PPT

Use this skill when a user wants to turn raw material, notes, voice transcripts, documents, or links into a presentation-ready outline and per-page media decisions before delegating rendering to a downstream skill. Old PPT/PPTX files are not read directly: extract their text first (see scripts/pptx_qa.py's dump/inspect output), then feed that text in as --source. A deck Humanize PPT already rendered goes through --qa-from <rendered.pptx> instead — the presentation checkup, not brief mode.

Positioning

Humanize PPT is a presentation system, born for the talk: an Outline Director (AST audience-state-transfer — every page turn moves the audience forward), a Per-Page Visual-Enhancement Director (real image / SVG diagram / Remotion video), a Production Brief Orchestrator, a Presentation Checkup Runner (演讲体检; formerly the QA loop, CLI flag still --qa-from), and a Presenter-Mode hand-off. The motivation: HTML-PPT template skills are great at concept display but blow a simple idea into a dozen pretty pages, while a real 90-minute talk is ~30 — the pretty shell outruns the content density. Humanize closes that gap: it keeps the beauty (rendered natively by the downstream template skill) and makes it presentable — a line you can stand up and deliver. Downstream template skills own "renders beautifully"; Humanize owns "it's a talk, and someone checked it."

The presentation checkup in one sentence: it does not grade beauty, it grades the outline. It compares every rendered page against its outline page, pulls out the pages that can only be looked at but not spoken from, and keeps going until every page is one the speaker can stand up and present. A failed page, in plain words: a page that holds only a few words and never finishes its point, or a page that fails the audience state transfer it promised (the listener walks out of that page in the same state they walked in). Such a page should not exist; the checkup pulls it out and generates fix instructions.

Humanize is broadly compatible with downstream renderers that can consume plain markdown + JSON. Verified routes are: Chinese HTML → guizang-ppt-skill; English HTML → frontend-slides / beautiful-html-templates; native editable PowerPoint → ppt-master. Other downstreams remain hot-pluggable; support levels live in registry/renderer_registry.json and move only on real output.

It runs before downstream PPT / HTML slide skills and around the post-render presentation checkup. It owns the AST contract, the per-page media decision (does this page need a photo, a system diagram, a 10-second process clip, nothing?), the production brief that the next agent consumes, and the checkup pass on rendered HTML/PPTX. It does not own the rendered deck itself.

There are two human review gates before rendering: the outline preview and the renderer's style gate. HTML routes use Humanize's ≥4 real-cover --style-gallery. PPT Master already owns a mandatory three-stage Confirm UI with native visual previews, so --renderer ppt-master --style-gallery delegates to that gate and writes style_gallery_plan.json + commands/style-gallery/ppt-master-confirm-ui.md rather than duplicating the catalog.

The user calls Humanize PPT once for the brief, hands the brief to a downstream skill for native rendering, then calls Humanize again with --qa-from <rendered.html|native.pptx> to run the 3-iteration presentation checkup. Each iteration writes qa_report.md, fix_prompt.md, and qa_iteration.json. After 3 rounds with remaining failures, status flips to needs-human.

Humanize PPT never copies a downstream skill's template, never injects custom sections into it, and never post-processes rendered HTML or PPTX. Fixes return to the downstream author source. See references/guizang-production-brief-orchestrator.md and adapters/ppt-master-bridge-notes.md.

For public positioning, describe Humanize PPT as a brief orchestrator that pairs with native downstream renderers. Do not frame it as a renderer itself, and do not present it as a "router" that picks the best visual style for the user — that decision lives in the brief, the downstream skill's own templates, and the human's review. When a user only wants a pretty template page, that is a rendering-skill job, not a Humanize job: state the choice, not a prohibition.

AST theory

AST means Audience-State-Transfer.

…

FAQ

What does 'AST' mean?

AST stands for 'Audience-State-Transfer'. It's the idea that a presentation should move the audience from one state of knowledge to another, slide by slide.

What is the 'presentation checkup'?

It's a process where the AI checks if each slide can be easily presented. It ensures slides aren't too wordy or incomplete, and that they help the audience learn something new.

Can I use old PPT or PPTX files?

Not directly. You need to extract the text from those files first and then provide that text to the AI as source material.

Details

Original description by the author

A presentation system for agent-made PPTs — born for the talk, not just the template. It turns raw material into an AST (audience-state-transfer) outline with per-page visual-enhancement decisions (image / SVG diagram / video), hands a production brief to a downstream renderer (HTML-PPT skills or native PPTX), then runs a capped 3-round presentation checkup (演讲体检) on the rendered deck. It never re

repo: nexu-io/open-design

Popularity

GitHub stars
101k
Ranking position
#642
License
Apache-2.0
Updated
10/16/2026

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