Create professional research posters in LaTeX using beamerposter, tikzposter, or baposter. Support for conference presentations, academic posters, and scientific communication. Includes layout design, color schemes, multi-column formats, figure integration, and poster-specific best practices for visual communication.
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Research posters are a critical medium for scientific communication at conferences, symposia, and academic events. This skill provides comprehensive guidance for creating professional, visually appealing research posters using LaTeX packages. Generate publication-quality posters with proper layout, typography, color schemes, and visual hierarchy.
When to Use This Skill
This skill should be used when:
Creating research posters for conferences, symposia, or poster sessions
Designing academic posters for university events or thesis defenses
Preparing visual summaries of research for public engagement
Converting scientific papers into poster format
Creating template posters for research groups or departments
Designing posters that comply with specific conference size requirements (A0, A1, 36×48", etc.)
Building posters with complex multi-column layouts
Integrating figures, tables, equations, and citations in poster format
AI-Powered Visual Element Generation
STANDARD WORKFLOW: Generate ALL major visual elements using AI before creating the LaTeX poster.
This is the recommended approach for creating visually compelling posters:
Plan all visual elements needed (title, intro, methods, results, conclusions)
Generate each element using scientific-schematics or Nano Banana Pro
Assemble generated images in the LaTeX template
Add text content around the visuals
Target: 60-70% of poster area should be AI-generated visuals, 30-40% text.
Hard limits (do not exceed)
These are limits, not guidelines. Violating them is the single most common cause of a
failed poster. Full reasoning, per-graphic-type tables, and worked examples are in
references/ai_graphics_for_posters.md.
| Constraint | Limit |
| --- | --- |
| Elements per AI-generated graphic | 3-4 maximum (3 ideal) |
| Words per graphic | 10 maximum |
| White space per graphic | 50% minimum (60% better) |
| Key numbers / metrics | 120pt+ |
| Labels | 80pt+ |
| Body text on the poster | 24pt+ |
| Content sections (A0) | 5-6 maximum |
| Total words on the poster | 300-800 |
| Figure width | 0.85\linewidth, never 1.0 |
Every graphic prompt must include: POSTER FORMAT for A0, an explicit element or word
count (ONLY 3 icons, 3 words total), a font size (GIANT (120pt+)), 60% white space,
and a viewing distance (readable from 10-12 feet).
Two mandatory review gates. Skipping either is how unreadable posters happen:
Before generating — for each planned graphic, confirm it is 3-4 items, one message,
under 10 words, and not a 5+ stage workflow. If not, split it into several graphics.
After generating, before assembly — open each figure at 25% zoom. All text readable,
4 or fewer elements, 50%+ white space, understandable in 2 seconds. Any failure means
regenerate or split. Do not assemble a poster from figures that failed.
Patterns that always fail: 7-stage workflow, timeline with annual milestones,
3 case studies in one graphic, comparison of 5+ methods, architecture with all layers.
Collapse each to 3 high-level items, or make several separate graphics.
Overflow is an error, not a warning. After compiling, run grep -i overfull poster.log
and inspect all four edges at 100% zoom. See
references/compilation_and_quality_control.md.
Scientific Schematics Integration
For detailed guidance on creating schematics, refer to the scientific-schematics skill documentation.
Key capabilities:
Nano Banana Pro automatically generates, reviews, and refines diagrams
Creates publication-quality images with proper formatting
Ensures accessibility (colorblind-friendly, high contrast)
Supports iterative refinement for complex diagrams
Core Capabilities
Three poster packages are supported — beamerposter (Beamer syntax, institutional
themes), tikzposter (modern, colorful, flexible), and baposter (structured
multi-column). Package comparison, layout and grid systems, design principles, standard
sizes, per-package templates, figure and image integration, color schemes, typography,
and QR codes are all documented in
references/latex_poster_reference.md.
Reusable per-section content patterns, accessibility requirements, and presentation-day
guidance are in
references/poster_patterns_and_presentation.md.
Workflow for Poster Creation
Stage 1: Planning and Content Development
Determine poster requirements:
Conference size specifications (A0, 36×48", etc.)
Orientation (portrait vs. landscape)
Submission deadlines and format requirements
Develop content outline:
Identify 1-3 core messages
Select key figures (typically 3-6 main visuals)
Draft concise text for each section (bullet points preferred)
Aim for 300-800 words total
Choose LaTeX package:
beamerposter: If familiar with Beamer, need institutional themes
tikzposter: For modern, colorful designs with flexibility
baposter: For structured, professional multi-column layouts
Stage 2: Generate Visual Elements (AI-Powered)
CRITICAL: Generate SIMPLE figures with MINIMAL content. Each graphic = ONE message.
Content limits:
Maximum 4-5 elements per graphic
Maximum 15 words total per graphic
50% white space minimum
GIANT fonts (80pt+ for labels, 120pt+ for key numbers)
Create figures directory:
mkdir -p figures
Generate SIMPLE visual elements:
# Introduction - ONLY 3 icons/elements
python scripts/generate_schematic.py "POSTER FORMAT for A0. SIMPLE visual with ONLY 3 elements: [icon1] [icon2] [icon3]. ONE word labels (80pt+). 50% white space. Readable from 8 feet." -o figures/intro.png
# Methods - ONLY 4 steps maximum
python scripts/generate_schematic.py "POSTER FORMAT for A0. SIMPLE flowchart with ONLY 4 boxes: STEP1 → STEP2 → STEP3 → STEP4. GIANT labels (100pt+). 50% white space. NO sub-steps." -o figures/methods.png
# Results - ONLY 3 bars/comparisons
python scripts/generate_schematic.py "POSTER FORMAT for A0. SIMPLE chart with ONLY 3 bars. GIANT percentages ON bars (120pt+). NO axis, NO legend. 50% white space." -o figures/results.png
# Conclusions - EXACTLY 3 items with GIANT numbers
python scripts/generate_schematic.py "POSTER FORMAT for A0. EXACTLY 3 key findings: '[NUMBER]' (150pt) '[LABEL]' (60pt) for each. 50% white space. NO other text." -o figures/conclusions.png
Review generated figures - check for overflow:
View at 25% zoom: All text still readable?
Count elements: More than 5? → Regenerate simpler
Check white space: Less than 40%? → Add "60% white space" to prompt
Font too small?: Add "EVEN LARGER" or increase pt sizes
Still overflowing?: Reduce to 3 elements instead of 4-5
Allocate space for title (10-15%), content (70-80%), footer (5-10%)
Set typography:
Configure font sizes for different hierarchy levels
Ensure minimum 24pt body text
Test readability from 4-6 feet distance
Stage 4: Content Integration
Create poster header:
Title (concise, descriptive, 10-15 words)
Authors and affiliations
Institution logos (high-resolution)
Conference logo if required
Integrate AI-generated figures:
Add all figures from Stage 2 to appropriate sections
Use \includegraphics with proper sizing
Ensure figures dominate each section (visuals first, text second)
Center figures within blocks for visual impact
Add minimal supporting text:
Keep text minimal and scannable (300-800 words total)
Use bullet points, not paragraphs
Write in active voice
Text should complement figures, not duplicate them
Add supplementary elements:
QR codes for supplementary materials
References (cite key papers only, 5-10 typical)
Contact information and acknowledgments
Stage 5: Refinement and Testing
Review and iterate:
Check for typos and errors
Verify all figures are high resolution
Ensure consistent formatting
Confirm color scheme works well together
Test readability:
Print at 25% scale and read from 2-3 feet (simulates poster from 8-12 feet)
Check color on different monitors
Verify QR codes function correctly
Ask colleague to review
Optimize for printing:
Embed all fonts in PDF
Verify image resolution
Check PDF size requirements
Include bleed area if required
Stage 6: Compilation and Delivery
Compile final PDF:
pdflatex poster.tex
# Or for better font support:
lualatex poster.tex
Verify output quality:
Check all elements are visible and correctly positioned
Zoom to 100% and inspect figure quality
Verify colors match expectations
Confirm PDF opens correctly on different viewers
Prepare for printing:
Export as PDF/X-1a if required
Save backup copies
Get test print on regular paper first
Order professional printing 2-3 days before deadline
Create supplementary materials:
Save PNG/JPG version for social media
Create handout version (8.5×11" summary)
Prepare digital version for email sharing
Integration with Other Skills
This skill works effectively with:
Scientific Schematics: CRITICAL - Use for generating all poster diagrams and flowcharts
Generate Image / Nano Banana Pro: For stylized graphics, conceptual illustrations, and summary visuals
Scientific Writing: For developing poster content from papers
Literature Review: For contextualizing research
Data Analysis: For creating result figures and charts
Recommended workflow: Always use scientific-schematics and generate-image skills BEFORE creating the LaTeX poster to generate all visual elements.
Common Pitfalls to Avoid
AI-Generated Graphics Mistakes (MOST COMMON):
❌ Too many elements in one graphic (10+ items) → Keep to 3-5 max
❌ Text too small in AI graphics → Specify "GIANT (100pt+)" or "HUGE (150pt+)"
❌ Too much detail in prompts → Use "SIMPLE" and "ONLY X elements"
❌ No white space specification → Add "50% white space" to every prompt
❌ Complex flowcharts with 8+ steps → Limit to 4-5 steps maximum
❌ Comparison charts with 6+ items → Limit to 3 items maximum
❌ Key findings with 5+ metrics → Show only top 3
Fixing Overflow in AI Graphics:
If your AI-generated graphics are overflowing or have small text:
Add "SIMPLER" or "ONLY 3 elements" to prompt
Increase font sizes: "150pt+" instead of "80pt+"
Add "60% white space" instead of "50%"
Remove sub-details: "NO sub-steps", "NO axis labels", "NO legend"
Regenerate with fewer elements
Design Mistakes:
❌ Too much text (over 1000 words)
❌ Font sizes too small (under 24pt body text)
❌ Low-contrast color combinations
❌ Cluttered layout with no white space
❌ Inconsistent styling across sections
❌ Poor quality or pixelated images
Content Mistakes:
❌ No clear narrative or message
❌ Too many research questions or objectives
❌ Overuse of jargon without definitions
❌ Results without context or interpretation
❌ Missing author contact information
Technical Mistakes:
❌ Wrong poster dimensions for conference requirements
❌ RGB colors sent to CMYK printer (color shift)
❌ Fonts not embedded in PDF
❌ File size too large for submission portal
❌ QR codes too small or not tested
Best Practices:
✅ Generate SIMPLE AI graphics with 3-5 elements max
✅ Use GIANT fonts (100pt+) for key numbers in graphics
✅ Specify "50% white space" in every AI prompt
✅ Follow conference size specifications exactly
✅ Test print at reduced scale before final printing
✅ Use high-contrast, accessible color schemes
✅ Keep text minimal and highly scannable
✅ Include clear contact information and QR codes
✅ Proofread carefully (errors are magnified on posters!)
Package Installation
Ensure required LaTeX packages are installed:
# For TeX Live (Linux/Mac)
tlmgr install beamerposter tikzposter baposter
# For MiKTeX (Windows)
# Packages typically auto-install on first use
# Additional recommended packages
tlmgr install qrcode graphics xcolor tcolorbox subcaption
Scripts and Automation
Helper scripts available in scripts/ directory:
review_poster.sh: Poster review and validation
generate_schematic.py: Generate scientific diagrams and schematics
References
references/ai_graphics_for_posters.md: full AI
graphic rules, per-type limits, worked prompt examples, and the review gates.
references/latex_poster_reference.md: packages,
layout, design, sizes, templates, figures, color, typography, QR codes.
references/compilation_and_quality_control.md:
compilation engines and the complete pre-print QC procedure.