Skills Agentes

Latex Posters

Crea pósteres de investigación profesionales en LaTeX con beamerposter, tikzposter o baposter, para conferencias y comunicación científica: layout, colores, columnas múltiples e integración de figuras.

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Estrellas
34.8k

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Actividad
69

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Actualizado
hace 15 días

último commit aquí

Commits
11

últimos 90 días

Contexto
3.9k tok

80 tok en reposo

Paquete
17 archivos

242 KB

Instalar

Funciona con cualquier agente que lea SKILL.md

npx -y skills add K-Dense-AI/scientific-agent-skills --skill latex-posters --agent claude-code

Se instala solo en este repositorio.

Este skill makes network requests, needs API credentials.

Qué hace

  • Genera pósteres científicos en LaTeX con beamerposter, tikzposter o baposter y diseño multi-columna
  • Crea elementos visuales con IA antes de montar el póster, hasta 60-70% del área en gráficos
  • Aplica límites estrictos de elementos, palabras y espacio en blanco por gráfico para evitar sobrecarga
  • Cubre la compilación con pdflatex/lualatex y el control de calidad contra desbordamientos (overfull)
  • Incluye plantillas listas para usar en beamerposter, tikzposter y baposter

Úsalo cuando

  • Crear pósteres de investigación para conferencias, simposios o defensas de tesis
  • Convertir un paper científico en formato póster
  • Diseñar pósteres que cumplan tamaños de conferencia específicos (A0, A1, 36×48")
  • Montar layouts complejos multi-columna con figuras, tablas y ecuaciones

No lo uses cuando

    Qué lo activa

    Di cualquiera de estas frases y el agente debería cargar este skill.

    • Crea un póster científico en LaTeX para una conferencia A0
    • Genera las figuras de mi póster con IA antes de montarlo
    • Revisa mi póster por desbordamientos antes de imprimir
    • Arma un póster con tikzposter para mi tesis

    SKILL.md

    En inglés

    LaTeX Research Posters

    Overview

    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:

    1. Plan all visual elements needed (title, intro, methods, results, conclusions)
    2. Generate each element using scientific-schematics or Nano Banana Pro
    3. Assemble generated images in the LaTeX template
    4. 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

    1. Determine poster requirements:

      • Conference size specifications (A0, 36×48", etc.)
      • Orientation (portrait vs. landscape)
      • Submission deadlines and format requirements
    2. 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
    3. 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)
    1. Create figures directory:

      mkdir -p figures
      
    2. 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
      
    3. 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

    Stage 3: Design and Layout

    1. Select or create template:

      • Start with provided templates in assets/
      • Customize color scheme to match branding
      • Configure page size and orientation
    2. Design layout structure:

      • Plan column structure (2, 3, or 4 columns)
      • Map content flow (typically left-to-right, top-to-bottom)
      • Allocate space for title (10-15%), content (70-80%), footer (5-10%)
    3. 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

    1. Create poster header:

      • Title (concise, descriptive, 10-15 words)
      • Authors and affiliations
      • Institution logos (high-resolution)
      • Conference logo if required
    2. 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
    3. 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
    4. 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

    1. Review and iterate:

      • Check for typos and errors
      • Verify all figures are high resolution
      • Ensure consistent formatting
      • Confirm color scheme works well together
    2. 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
    3. 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

    1. Compile final PDF:

      pdflatex poster.tex
      # Or for better font support:
      lualatex poster.tex
      
    2. 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
    3. 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
    4. 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:

    1. Add "SIMPLER" or "ONLY 3 elements" to prompt
    2. Increase font sizes: "150pt+" instead of "80pt+"
    3. Add "60% white space" instead of "50%"
    4. Remove sub-details: "NO sub-steps", "NO axis labels", "NO legend"
    5. 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

    Templates

    Ready-to-use poster templates in assets/ directory:

    • beamerposter templates (classic, modern, colorful)
    • tikzposter templates (default, rays, wave, envelope)
    • baposter templates (portrait, landscape, minimal)
    • Example posters from various scientific disciplines
    • Color scheme definitions and institutional templates

    Load these templates and customize for your specific research and conference requirements.

    Reproducido de K-Dense-AI/scientific-agent-skills bajo licencia MIT. Leer esta página en markdown.

    Archivos

    17 archivos en el paquete. Solo se lee SKILL.md al activarse — las referencias se cargan si el skill decide que las necesita.

    Antes de instalar

    Necesita LaTeX con los paquetes beamerposter, tikzposter y baposter instalados (vía tlmgr), y opcionalmente OPENROUTER_API_KEY para los pasos con IA.

    Necesita en el PATH:awk

    Variables de entorno:BLUEFILE_SIZEFILE_SIZE_BYTESFONT_OUTPUTGREENHEIGHTIMAGE_COUNTNON_EMBEDDEDOPENROUTER_API_KEYPAGE_COUNTPAGE_SIZEPOSTER_FILEWIDTHYELLOW

    Detalles

    Creador
    K-Dense-AI
    Categoría
    Documentos
    Licencia
    MIT
    Recursos incluidos
    scripts en bash, python + referencias
    Código fuente
    Ver SKILL.md

    Etiquetas

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