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Poster Storyline Builder

OrganizationPopular
aipoch
poster-storyline-builder

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".

Overview

Publisheraipoch
Repositorymedical-research-skills
Skill nameposter-storyline-builder
Stars
1.9K
Forks
175
Bundled files
3
LicenseMIT
Links
  • 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.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aipoch on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Poster Storyline Builder 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 Poster Storyline Builder 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 Poster Storyline Builder 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.

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

Bundled files

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

Frequently asked questions

What does the Poster Storyline Builder AI skill do?

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".

Why use Poster Storyline Builder on TypingMind?

Because you install it once and use it with any model. Poster Storyline Builder 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 Poster Storyline Builder in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aipoch/medical-research-skills/tree/main/awesome-med-research-skills/Academic%20Writing/poster-storyline-builder. 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 Poster Storyline Builder?

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 Poster Storyline Builder?

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

Is the Poster Storyline Builder AI skill free?

Yes. It is published on GitHub by aipoch 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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