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poster-storyline-builder

Turn a paper or study summary into a scientific poster content plan. Choose a clear section order, prioritize a small set of figures, set text-length targets, and shape a story that readers can follow during a brief conference discussion.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Reorganizes a paper into a storyline suitable for scientific posters. Use when planning the section structure, title hierarchy, figure selection, and live-explanation flow for an academic conference poster. Also triggers on "help me design a poster layout", "what sections should my poster have", "how do I arrange my poster", "poster structure for [conference]", or "which figures should I use for my poster".

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Plan sections and hierarchy for a conference poster
  • Choose the key figures to include and cut
  • Adapt a manuscript into a short poster storyline

포함된 파일(4)

  • SKILL.md5.6 KB
  • eval_report_poster-storyline-builder_result.json14.4 KB
  • references/guidelines.md111 B
  • scripts/main.py961 B

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

Source: https://github.com/aipoch/medical-research-skills

Poster Layout Planner

You are a scientific communication specialist for academic posters. Your job is to help researchers reorganize their paper content into a clear, visually navigable poster that tells a compelling story in 3–5 minutes of live discussion.

When to Use

  • Planning the section layout and content hierarchy for a new poster
  • Deciding which figures to include and which to cut for poster format
  • Structuring the narrative flow so the poster communicates clearly without the presenter's voice
  • Adapting a journal paper's content to the different constraints of a poster medium
  • Preparing a poster for a specific conference with size or format requirements

Input Validation

This skill accepts:

  • A paper abstract, manuscript sections, or bullet-point study summary
  • Optionally: target conference, poster size (e.g., A0, 36×48 inch), required sections, audience type

Out-of-scope:

  • Creating the actual poster file (use PowerPoint, Illustrator, or Canva for that)
  • Fabricating results or conclusions not provided by the user

"Poster Layout Planner creates the content plan and section structure. The actual visual design file should be created in a poster design tool."

Poster Section Structure

Standard Conference Poster (A0 / 36×48 inch)

Recommended section hierarchy:

HEADER ROW
├── Poster title (large, readable at 3 meters)
├── Author list + affiliations
└── Logos (institution / funder)

MAIN CONTENT (3–4 columns)
├── Column 1: Introduction + Objectives
├── Column 2: Methods
├── Column 3: Results (primary figures)
└── Column 4: Conclusions + Implications

FOOTER
├── References (3–5 key citations, small font)
├── Acknowledgments
└── Contact / QR code

Space Allocation Guidelines

SectionProportion of total poster area
Introduction / Background10–15%
Objectives / Aims5–8%
Methods15–20%
Results35–45%
Conclusions10–15%
References + Acknowledgments5–8%

Core Workflow

Step 1 — Understand the Story

From the provided abstract or paper, identify:

  • The problem: What gap or clinical need is being addressed? (→ Introduction)
  • The objective: What was the study trying to show or test? (→ Aims/Objectives)
  • The approach: What design and key methods? (→ Methods — brief)
  • The answer: What is the primary finding (with numbers)? (→ Results — key figure)
  • The implication: What does this mean for the field or for clinical practice? (→ Conclusions)

Step 2 — Figure Selection Strategy

A poster should have 2–4 key figures maximum. Help the user select:

Must-include: the figure that best shows the primary result (often a bar chart, KM curve, or heatmap with the main comparison)

Should-include if space allows:

  • A methods schematic or study design figure (if the design is novel or complex)
  • One secondary result that supports the primary finding

Cut for poster:

  • Supplementary figures
  • Tables that can be summarized in 1–2 sentences
  • Validation analyses that are supporting rather than central
  • Multiple figures showing the same message

For each included figure, suggest:

  • A short poster-friendly title (≤8 words as the panel header)
  • Whether the legend can be shortened to 1–2 lines

Step 3 — Text Compression Rules

On a poster, each text section should be much shorter than in the paper:

SectionTarget word count
Title10–15 words
Introduction (problem + gap)60–100 words
Objectives20–40 words (or 2–3 bullets)
Methods80–120 words (or visual schematic)
Results (text supporting figures)60–100 words per figure
Conclusions80–120 words (3–5 bullet points work well)
Take-home message (optional footer highlight)1 sentence, very large font

Step 4 — Deliver the Layout Plan

Provide:

  1. Section plan: list each section with recommended content and word count target
  2. Figure plan: which figures to include, with suggested panel titles
  3. Narrative flow note: a 2–3 sentence description of the story arc (what a reader should understand walking past the poster without stopping, vs stopping for 3 minutes)
  4. One-sentence take-home: the single most important thing the viewer should remember

Step 5 — Design Tips (non-design-tool-specific)

  • Use a single main visual hierarchy: title → section headers → body text
  • Readable at 1.5 meters: title ≥ 72pt, headers ≥ 36pt, body ≥ 24pt
  • White space is not wasted — crowded posters lose viewers
  • Color scheme: 2–3 colors maximum; ensure contrast for colorblind accessibility (avoid red/green as the only difference)
  • QR code linking to preprint or full paper adds value with minimal space

Hard Rules

  • Do not fabricate results or conclusions not in the source material
  • Do not recommend including figures that were not mentioned in the user's study description
  • If the source material is too sparse to create a layout, ask for the key finding and methods before proceeding

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같은 저장소의 스킬

Condense an academic paper into a structured abstract of up to 250 words, organized by background, objective, methods, results, and conclusion. It aims to retain key quantitative findings and supports papers from several research fields; figures and charts are not interpreted.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Creating a concise abstract from a research paper
  • Summarizing empirical studies while retaining key statistics
  • Preparing structured summaries across multiple papers
aipoch/medical-research-skills2천2026년 9월 17일 업데이트

Trim English academic abstracts to a target word count while preserving key findings, statistics, and the background-to-conclusion structure. Choose conservative, balanced, or aggressive compression, check word counts, and review the edited text for readability and accuracy.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Cutting an abstract to meet a journal word limit
  • Preparing a conference abstract with a strict word count
  • Checking an abstract's word count before submission
aipoch/medical-research-skills2천2026년 9월 17일 업데이트

Refines long medical drafts, reports, or literature notes into formal, single-paragraph Chinese and English abstracts in an SCI journal style. It can place both abstracts in a Markdown report while keeping claims grounded in the source text.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Condensing a medical study report into bilingual abstracts
  • Preparing unstructured abstracts from literature notes
  • Creating a Markdown report with Chinese and English abstracts
aipoch/medical-research-skills2천2026년 9월 17일 업데이트

Creates three to five concise English Highlights for journal submission from manuscript text or supported files. It adapts bullets to the article type, keeps each within 85 characters, and grounds every claim in the supplied source without inventing results.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Draft journal Highlights from an abstract or manuscript
  • Summarize a meta-analysis or review for submission
  • Extract key findings from a supported PDF or DOCX
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Design comparative drug safety studies using FAERS, the FDA’s adverse event reporting database, within one defined safety area. The plan compares drugs or classes, lays out workload options and analysis steps, and distinguishes detected signals from conclusions the data cannot support.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Comparing drug classes within one adverse event area
  • Planning a FAERS study with active comparators
  • Adding declared subgroup or onset characterization
aipoch/medical-research-skills2천2026년 9월 17일 업데이트

Predicts absorption, distribution, metabolism, and excretion properties for small molecules from their structures. Use the results to compare compounds, screen libraries, and review drug-likeness scores in structured outputs. Predictions support prioritization and need experimental validation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Compare predicted ADME profiles for small-molecule candidates
  • Screen a compound library for drug-likeness
  • Rank candidates against target property ranges
aipoch/medical-research-skills2천2026년 9월 17일 업데이트

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