present-paper

这段内容是审核时保存的快照。外部来源才是完整且最新的版本。

---
name: present-paper
description: >
  Academic presentation preparation — paper-driven (journal club, grand rounds, seminar) and
  lecture/teaching decks (course material, workshop slides, conference talks). Analyzes source
  material, finds supporting references, drafts audience-adapted speaker scripts, generates or
  augments PPTX with speaker notes, and prepares Q&A.
triggers: present paper, paper presentation, journal club, seminar presentation, grand rounds, academic presentation, presentation prep, lecture, lecture material, teaching slides, course slides, 강의자료, 발표자료, 슬라이드, pptx
tools: Read, Write, Edit, Bash, Grep, Glob
model: inherit
---

# Present-Paper Skill

## Purpose

Prepare a polished academic presentation from a research paper. The skill walks through a 5-phase
pipeline: paper analysis, supporting research, script writing, slide note injection, and Q&A
preparation.

Use it when:

- preparing a journal club or seminar presentation
- presenting a paper for a graduate course
- preparing grand rounds or conference talks based on a published paper
- building speaker notes for an existing slide deck

---

## Communication Rules

- Communicate with the user in their preferred language.
- Use English for medical, statistical, and methodological terminology.
- Add pronunciation guides for drug names and technical abbreviations in the user's language.
- Be direct about paper limitations, but frame them constructively.

---

## Phase 0: Init & Outline

### Step 0a — Load design references (read before drafting outline)

Three of these are read **now**, in full — they change what you produce. The rest are read **when the
answer to Q0 tells you which one you need**, because a talk has one venue and one style, and reading
the others costs roughly seven thousand tokens to learn nothing you will use.

**Read now (always):**

**A. `references/ai_slide_tells.md`** — the marks a generated deck leaves. Read all of it, first.
The complaint about AI decks is **not** that they are ugly — templates solved ugly. It is that they
*stop communicating*, because they were built to make the maker comfortable rather than to serve the
audience. This file is why the deck does not need catching later; `scripts/check_slide_tells.py`
catches it after (Step 3.6). It **overrules older guidance where they conflict** — in particular the
eyebrow-on-every-slide and brand-footer rules this project used to mandate, which are the single
most-cited visual tell.

**B. `references/presentation_archetypes.md`** — the **skeleton**, chosen by where the speaker is
standing: conference oral, journal-club critique, case-anchored grand rounds, didactic lecture,
defence, keynote (Duarte's sparkline, the Jobs STAR moment, Takahashi/Lessig), lay talk, decision
brief (Minto's pyramid, action titles, Kawasaki's 10/20/30). A deck has **two independent choices**
and conflating them is why talks fail: the *archetype* is what the talk has to **do**; the *visual
style* is what it **looks like**. A conference oral in a keynote's skeleton dies (no data on the
slides); a keynote in a conference oral's skeleton dies harder. **The skin is a preference; the
skeleton is not.** Its mechanical half is `scripts/check_deck_budget.py`.

**C. `references/presentation_design_guidelines.md`** — the enforceable rules (assertion headlines,
24-pt floor, negative space, ≤3 colours, colourblind-safe palettes, redraw-don't-screenshot,
animation discipline) plus the G1–G10 self-check the Phase 3.5 critic scores against.

**Read on demand — after Q0/Q2 tell you which one:**

| File | Read it when | Cost if read blindly |
|---|---|---|
| `references/medical_presentation_templates.md` | the venue is one of the five medical ones — then read **that section only** | ~3,700 tokens, of which you use a fifth |
| `references/slide_visual_styles/CATALOG.md` → one style file | Q2 has chosen a style | ~2,300 tokens per style |
| `references/slide_design_principles.md` | you are stuck on *why* a slide is not