Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
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".
インストールする前に、エージェントに与えられる指示の中身を確認できます。
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.
This skill accepts:
Out-of-scope:
"Poster Layout Planner creates the content plan and section structure. The actual visual design file should be created in a poster design tool."
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
| 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% |
From the provided abstract or paper, identify:
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:
Cut for poster:
For each included figure, suggest:
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 |
Provide:
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概要と使いどころ
Transform lengthy academic papers into concise, structured 250-word abstracts.
日本語の概要は準備中です。原文の説明を表示しています。
Precision editing tool that reduces abstract word count through intelligent compression techniques, maintaining scientific rigor while meeting strict journal and conference requirements.
日本語の概要は準備中です。原文の説明を表示しています。
Refines long medical academic texts into SCI-style unstructured Chinese and English abstracts; use when you need to condense drafts/reports/summaries into bilingual abstracts and generate Summary_Report.md.
日本語の概要は準備中です。原文の説明を表示しています。
Generates submission-ready Elsevier/SCI Highlights from manuscript text or extracted PDF/DOCX/TXT content. Use when a user needs 3-5 concise, evidence-grounded highlight bullets for a research paper, review, meta-analysis, case report, or bioinformatics manuscript.
日本語の概要は準備中です。原文の説明を表示しています。
Generates complete FAERS pharmacovigilance study designs for multi-drug or class-level safety comparison inside one predefined SOC or AE family using active comparators, disproportionality analysis, subgroup characterization, and reviewer-facing evidence control.
日本語の概要は準備中です。原文の説明を表示しています。
Analyze data with `adme-property-predictor` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
日本語の概要は準備中です。原文の説明を表示しています。