Radiology Paper2ppt

CommunityPopular

huang-sir1

radiology-paper2ppt

Turn an imaging-research paper, preprint, PDF, abstract, or reading notes into a concise Chinese .pptx deck for journal club / 读片会 / 组会 / paper sharing. Use when the user wants a paper PPT, journal-club slides, 读片会/文献汇报 slides, or paper-to-slides for an imaging study. Identifies the paper type and evidence chain, selects only the figures/tables that carry the argument (imaging panels, ROC/KM/calibration), writes Chinese slide text + speaker notes, builds a real .pptx, and runs package QA. Never fabricates results, metrics, or figure details.

Overview

Publisher	huang-sir1
Repository	`radiology-skills`
Skill name	`radiology-paper2ppt`
Stars	1.7K
Forks	17
Bundled files	1
License	MIT
Links	Skill source Repository

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 huang-sir1 on GitHub. Read the source before you install it.

Installation

Install the Radiology Paper2ppt AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/modules/radiology-paper2ppt

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/huang-sir1/radiology-skills.git /tmp/radiology-skills
mkdir -p .claude/skills
cp -r /tmp/radiology-skills/radiology-skills/modules/radiology-paper2ppt .claude/skills/radiology-paper2ppt

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Radiology Paper2ppt 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 Radiology Paper2ppt 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 Radiology Paper2ppt 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.

Imaging Paper → Chinese Journal-Club Deck

Turn an imaging paper into a concise, faithful Chinese .pptx for 读片会 / 文献汇报 / 组会. The deck follows the paper's scientific argument, not its section order.

Core stance

Argument as the spine. Classify the paper (diagnostic-accuracy / prediction model / radiomics / radiogenomics / review), then build the slide flow from its evidence chain.
Figures are evidence. Use the paper's key figures/tables (imaging panels, ROC, calibration, Kaplan-Meier, forest); crop or split dense panels rather than shrinking them unreadable. Keep windowing/arrows visible for imaging panels.
Real .pptx. Build an actual deck (use the pptx skill), Chinese slide text + speaker notes, not a text outline.
Integrity. Never fabricate results, numbers, datasets, mechanisms, or figure details; if the source is partial, label gaps.

When to use

"把这篇论文做成读片会/文献汇报 PPT。" / "Make journal-club slides from this imaging paper."
"组会要讲这篇 radiomics/AI 论文，做个中文 PPT。"

When to open extra files

File	Open when
references/deck-quality-qa.md	Building a full PPTX, repairing a weak deck, fixing cropped figures/text overflow/loose alignment, or running final slide QA

Slide flow (adapt to paper type)

标题页 — title, authors/journal/year, presenter/date.
背景与临床问题 — the gap (1–2 slides).
研究目的/假设.
方法 — 数据与队列 (n, source, scanner/protocol); 影像分析/参考标准/阅片; 模型/特征流程 (radiomics: IBSI/分割/谐化; AI: 架构/划分/验证). Use a pipeline figure.
主要结果 — performance with CIs; key figure (ROC/KM/calibration) per slide; comparison/validation.
关键图 — the decisive imaging panel(s) or chart, cropped legibly.
结论与局限 — bounded conclusion + honest limitations.
点评/讨论 — presenter's critique: 报告规范 (CLAIM/CLEAR), 有无外部验证/泄漏/校准, 可复现性, 临床意义 — a journal-club value-add (route critique points via radiology-reporting).
(可选) 思考/可借鉴 — what to borrow for our own work.

Workflow

Read/parse the paper (load pdf skill for PDFs; or radiology-reader for full bilingual extraction).
Open deck-quality-qa.md; classify paper type and choose the slide arc before writing slides.
Extract the evidence chain and the figures/tables that carry it.
Write Chinese slide titles, bullets (concise), captions, takeaways, and speaker notes. Maintain a terminology ledger for datasets, genes, metrics, models, and abbreviations.
Build the .pptx (load the pptx skill); place cropped figures with sources.
QA — use deck-quality-qa.md, reopen/inspect the package: slide count, embedded images, notes present, no unreadable panels, no fabricated content.

Output contract

.pptx deck (primary deliverable) — Chinese, with speaker notes.
Slide map — title → message → figure used, per slide.
QA — slide count, embedded media, notes, figure-crop completeness, text overflow, terminology consistency, any rendering limits or missing source content.

Handoffs

PDF/figure extraction → pdf / radiology-reader; deck construction → pptx; critique points (reporting/stats) → radiology-reporting / radiology-stats.

Bundled files

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

references/deck-quality-qa.md2 KB

Frequently asked questions

What does the Radiology Paper2ppt AI skill do?

Why use Radiology Paper2ppt on TypingMind?

Because you install it once and use it with any model. Radiology Paper2ppt 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 Radiology Paper2ppt in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/huang-sir1/radiology-skills/tree/main/radiology-skills/modules/radiology-paper2ppt. 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 Radiology Paper2ppt?

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 Radiology Paper2ppt?

As many as you like. As long as a model supports skills, you can use Radiology Paper2ppt with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Radiology Paper2ppt AI skill free?

Yes. It is published on GitHub by huang-sir1 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Imaging Paper → Chinese Journal-Club Deck

Core stance

When to use

When to open extra files

Slide flow (adapt to paper type)

Workflow

Output contract

Handoffs

Bundled files

Frequently asked questions

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