Agent Skillsaipoch/medical-research-skills › poster-storyline-builder

poster-storyline-builder

GitHub

协助科研人员将论文内容重组为适合学术会议的Poster故事线,规划章节结构、标题层级、图片选择及现场讲解流程。

awesome-med-research-skills/Academic Writing/poster-storyline-builder/SKILL.md aipoch/medical-research-skills

Trigger Scenarios

help me design a poster layout what sections should my poster have how do I arrange my poster poster structure for conference which figures should I use for my poster

Install

npx skills add aipoch/medical-research-skills --skill poster-storyline-builder -g -y
More Options

Non-standard path

npx skills add https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Academic Writing/poster-storyline-builder -g -y

Use without installing

npx skills use aipoch/medical-research-skills@poster-storyline-builder

指定 Agent (Claude Code)

npx skills add aipoch/medical-research-skills --skill poster-storyline-builder -a claude-code -g -y

安装 repo 全部 skill

npx skills add aipoch/medical-research-skills --all -g -y

预览 repo 内 skill

npx skills add aipoch/medical-research-skills --list

SKILL.md

Frontmatter
{
    "name": "poster-storyline-builder",
    "author": "AIPOCH",
    "license": "MIT",
    "description": "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\"."
}

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

Section Proportion of total poster area
Introduction / Background 10–15%
Objectives / Aims 5–8%
Methods 15–20%
Results 35–45%
Conclusions 10–15%
References + Acknowledgments 5–8%

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:

Section Target word count
Title 10–15 words
Introduction (problem + gap) 60–100 words
Objectives 20–40 words (or 2–3 bullets)
Methods 80–120 words (or visual schematic)
Results (text supporting figures) 60–100 words per figure
Conclusions 80–120 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

Version History

  • f5ef65b Current 2026-07-24 17:03

Same Skill Collection

awesome-med-research-skills/Academic Writing/author-response-builder/SKILL.md
awesome-med-research-skills/Academic Writing/claim-strength-calibrator/SKILL.md
awesome-med-research-skills/Academic Writing/conference-abstract-writer/SKILL.md
awesome-med-research-skills/Academic Writing/consistency-checker-across-manuscript/SKILL.md
awesome-med-research-skills/Academic Writing/cover-letter-drafter/SKILL.md
awesome-med-research-skills/Academic Writing/discussion-composer/SKILL.md
awesome-med-research-skills/Academic Writing/figure-legend-writer/SKILL.md
awesome-med-research-skills/Academic Writing/grant-specific-aims-writer/SKILL.md
awesome-med-research-skills/Academic Writing/graphical-abstract-generator/SKILL.md
awesome-med-research-skills/Academic Writing/introduction-logic-builder/SKILL.md
awesome-med-research-skills/Academic Writing/introduction-section-writer/SKILL.md
awesome-med-research-skills/Academic Writing/latex-manuscript-format-converter/SKILL.md
awesome-med-research-skills/Academic Writing/medical-english-precision-editor/SKILL.md
awesome-med-research-skills/Academic Writing/paper-sprint-review/SKILL.md
awesome-med-research-skills/Academic Writing/reference-integrity-checker/SKILL.md
awesome-med-research-skills/Academic Writing/reporting-guideline-compliance-checker/SKILL.md
awesome-med-research-skills/Academic Writing/results-section-structurer/SKILL.md
awesome-med-research-skills/Academic Writing/results-section-writer/SKILL.md
awesome-med-research-skills/Academic Writing/revision-strategy-planner/SKILL.md
awesome-med-research-skills/Academic Writing/slide-deck-for-lab-meeting/SKILL.md
awesome-med-research-skills/Academic Writing/table-narrative-writer/SKILL.md
awesome-med-research-skills/Academic Writing/target-journal-matcher/SKILL.md
awesome-med-research-skills/Academic Writing/title-and-abstract-optimizer/SKILL.md
awesome-med-research-skills/Data Analysis/batch-effect-correction/SKILL.md
awesome-med-research-skills/Data Analysis/cerna-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/cibersort-immune-infiltration-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/consensus-clustering-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/decision-curve-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/decision-tree-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/deg-screening-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/differential-expression-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/elastic-net-feature-selection/SKILL.md
awesome-med-research-skills/Data Analysis/estimate-immune-score-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/external-model-validation/SKILL.md
awesome-med-research-skills/Data Analysis/gene-protein-expression-matrix-normalization/SKILL.md
awesome-med-research-skills/Data Analysis/gokegg/SKILL.md
awesome-med-research-skills/Data Analysis/gsea/SKILL.md
awesome-med-research-skills/Data Analysis/gsva-analysis-and-visualization/SKILL.md
awesome-med-research-skills/Data Analysis/hierarchical-clustering-plot/SKILL.md
awesome-med-research-skills/Data Analysis/immune-pathway-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/km-survival-curve/SKILL.md
awesome-med-research-skills/Data Analysis/knn-imputation/SKILL.md
awesome-med-research-skills/Data Analysis/lasso-logistics-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/LightGBM-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/lncrna-regulatory-network-construction-analysis/SKILL.md
awesome-med-research-skills/Data Analysis/model-calibration-curve/SKILL.md
awesome-med-research-skills/Data Analysis/nomogram-construction/SKILL.md
awesome-med-research-skills/Data Analysis/pca-dimensionality-reduction/SKILL.md
awesome-med-research-skills/Data Analysis/ppi-network-analysis/SKILL.md

Metadata

Files
0
Version
f5ef65b
Hash
06168355
Indexed
2026-07-24 17:03

inicio - Wiki
Copyright © 2011-2026 iteam. Current version is 2.155.2. UTC+08:00, 2026-08-16 20:13
浙ICP备14020137号-1 $mapa de visitantes$