pptx-posters

GitHub

专用于生成HTML/CSS格式研究海报的技能,仅在用户明确要求PPTX或PowerPoint格式时启用。支持现代响应式布局、AI视觉集成及导出功能,非默认选项,标准需求应使用latex-posters。

backend/cli/skills/writing/pptx-posters/SKILL.md synthetic-sciences/openscience

Trigger Scenarios

用户明确要求PPTX或PowerPoint格式海报 用户指定使用HTML-based海报 用户需要在创建后于PowerPoint中编辑海报

Install

npx skills add synthetic-sciences/openscience --skill pptx-posters -g -y
More Options

Non-standard path

npx skills add https://github.com/synthetic-sciences/openscience/tree/main/backend/cli/skills/writing/pptx-posters -g -y

Use without installing

npx skills use synthetic-sciences/openscience@pptx-posters

指定 Agent (Claude Code)

npx skills add synthetic-sciences/openscience --skill pptx-posters -a claude-code -g -y

安装 repo 全部 skill

npx skills add synthetic-sciences/openscience --all -g -y

预览 repo 内 skill

npx skills add synthetic-sciences/openscience --list

SKILL.md

Frontmatter
{
    "name": "pptx-posters",
    "category": "writing",
    "description": "Create research posters using HTML\/CSS that can be exported to PDF or PPTX. Use this skill ONLY when the user explicitly requests PowerPoint\/PPTX poster format. For standard research posters, use latex-posters instead. This skill provides modern web-based poster design with responsive layouts and easy visual integration.",
    "allowed-tools": [
        "Read",
        "Write",
        "Edit",
        "Bash"
    ]
}

PPTX Research Posters (HTML-Based)

Overview

⚠️ USE THIS SKILL ONLY WHEN USER EXPLICITLY REQUESTS PPTX/POWERPOINT POSTER FORMAT.

For standard research posters, use the latex-posters skill instead, which provides better typographic control and is the default for academic conferences.

This skill creates research posters using HTML/CSS, which can then be exported to PDF or converted to PowerPoint format. The web-based approach offers:

  • Modern, responsive layouts
  • Easy integration of AI-generated visuals
  • Quick iteration and preview in browser
  • Export to PDF via browser print function
  • Conversion to PPTX if specifically needed

When to Use This Skill

ONLY use this skill when:

  • User explicitly requests "PPTX poster", "PowerPoint poster", or "PPT poster"
  • User specifically asks for HTML-based poster
  • User needs to edit poster in PowerPoint after creation
  • LaTeX is not available or user requests non-LaTeX solution

DO NOT use this skill when:

  • User asks for a "poster" without specifying format → Use latex-posters
  • User asks for "research poster" or "conference poster" → Use latex-posters
  • User mentions LaTeX, tikzposter, beamerposter, or baposter → Use latex-posters

AI-Powered Visual Element Generation

STANDARD WORKFLOW: Generate ALL major visual elements using AI before creating the HTML poster.

This is the recommended approach for creating visually compelling posters:

  1. Plan all visual elements needed (hero image, intro, methods, results, conclusions)
  2. Generate each element using scientific-schematics or Nano Banana Pro
  3. Assemble generated images in the HTML template
  4. Add text content around the visuals

Target: 60-70% of poster area should be AI-generated visuals, 30-40% text.


CRITICAL: Poster-Size Font Requirements

⚠️ ALL text within AI-generated visualizations MUST be poster-readable.

When generating graphics for posters, you MUST include font size specifications in EVERY prompt. Poster graphics are viewed from 4-6 feet away, so text must be LARGE.

MANDATORY prompt requirements for EVERY poster graphic:

POSTER FORMAT REQUIREMENTS (STRICTLY ENFORCE):
- ABSOLUTE MAXIMUM 3-4 elements per graphic (3 is ideal)
- ABSOLUTE MAXIMUM 10 words total in the entire graphic
- NO complex workflows with 5+ steps (split into 2-3 simple graphics instead)
- NO multi-level nested diagrams (flatten to single level)
- NO case studies with multiple sub-sections (one key point per case)
- ALL text GIANT BOLD (80pt+ for labels, 120pt+ for key numbers)
- High contrast ONLY (dark on white OR white on dark, NO gradients with text)
- MANDATORY 50% white space minimum (half the graphic should be empty)
- Thick lines only (5px+ minimum), large icons (200px+ minimum)
- ONE SINGLE MESSAGE per graphic (not 3 related messages)

⚠️ BEFORE GENERATING: Review your prompt and count elements

  • If your description has 5+ items → STOP. Split into multiple graphics
  • If your workflow has 5+ stages → STOP. Show only 3-4 high-level steps
  • If your comparison has 4+ methods → STOP. Show only top 3 or Our vs Best Baseline

Example - WRONG (7-stage workflow):

# ❌ Creates tiny unreadable text
python scripts/generate_schematic.py "Drug discovery workflow: Stage 1 Target ID, Stage 2 Synthesis, Stage 3 Screening, Stage 4 Lead Opt, Stage 5 Validation, Stage 6 Clinical Trial, Stage 7 FDA Approval with metrics." -o figures/workflow.png

Example - CORRECT (3 mega-stages):

# ✅ Same content, simplified to readable poster format
python scripts/generate_schematic.py "POSTER FORMAT for A0. ULTRA-SIMPLE 3-box workflow: 'DISCOVER' → 'VALIDATE' → 'APPROVE'. Each word in GIANT bold (120pt+). Thick arrows (10px). 60% white space. ONLY these 3 words. NO substeps. Readable from 12 feet." -o figures/workflow_simple.png

CRITICAL: Preventing Content Overflow

⚠️ POSTERS MUST NOT HAVE TEXT OR CONTENT CUT OFF AT EDGES.

Prevention Rules:

1. Limit Content Sections (MAXIMUM 5-6 sections):

✅ GOOD - 5 sections with room to breathe:
   - Title/Header
   - Introduction/Problem
   - Methods
   - Results (1-2 key findings)
   - Conclusions

❌ BAD - 8+ sections crammed together

2. Word Count Limits:

  • Per section: 50-100 words maximum
  • Total poster: 300-800 words MAXIMUM
  • If you have more content: Cut it or make a handout

Core Capabilities

1. HTML/CSS Poster Design

The HTML template (assets/poster_html_template.html) provides:

  • Fixed poster dimensions (36×48 inches = 2592×3456 pt)
  • Professional header with gradient styling
  • Three-column content layout
  • Block-based sections with modern styling
  • Footer with references and contact info

2. Poster Structure

Standard Layout:

┌─────────────────────────────────────────┐
│  HEADER: Title, Authors, Hero Image     │
├─────────────┬─────────────┬─────────────┤
│ Introduction│   Results   │  Discussion │
│             │             │             │
│   Methods   │   (charts)  │ Conclusions │
│             │             │             │
│  (diagram)  │   (data)    │   (summary) │
├─────────────┴─────────────┴─────────────┤
│  FOOTER: References & Contact Info      │
└─────────────────────────────────────────┘

3. Visual Integration

Each section should prominently feature AI-generated visuals:

Hero Image (Header):

<img src="figures/hero.png" class="hero-image">

Section Graphics:

<div class="block">
  <h2 class="block-title">Methods</h2>
  <div class="block-content">
    <img src="figures/workflow.png" class="block-image">
    <ul>
      <li>Brief methodology point</li>
    </ul>
  </div>
</div>

4. Generating Visual Elements

Before creating the HTML, generate all visual elements:

# Create figures directory
mkdir -p figures

# Hero image - SIMPLE, impactful
python scripts/generate_schematic.py "POSTER FORMAT for A0. Hero banner: '[TOPIC]' in HUGE text (120pt+). Dark blue gradient background. ONE iconic visual. Minimal text. Readable from 15 feet." -o figures/hero.png

# Introduction visual - ONLY 3 elements
python scripts/generate_schematic.py "POSTER FORMAT for A0. SIMPLE visual with ONLY 3 icons: [icon1] → [icon2] → [icon3]. ONE word labels (80pt+). 50% white space. Readable from 8 feet." -o figures/intro.png

# Methods flowchart - ONLY 4 steps
python scripts/generate_schematic.py "POSTER FORMAT for A0. SIMPLE flowchart with ONLY 4 boxes: STEP1 → STEP2 → STEP3 → STEP4. GIANT labels (100pt+). Thick arrows. 50% white space. NO sub-steps." -o figures/workflow.png

# Results visualization - ONLY 3 bars
python scripts/generate_schematic.py "POSTER FORMAT for A0. SIMPLE bar chart with ONLY 3 bars: BASELINE (70%), EXISTING (85%), OURS (95%). GIANT percentages ON bars (120pt+). NO axis, NO legend. 50% white space." -o figures/results.png

# Conclusions - EXACTLY 3 key findings
python scripts/generate_schematic.py "POSTER FORMAT for A0. EXACTLY 3 cards: '95%' (150pt) 'ACCURACY' (60pt), '2X' (150pt) 'FASTER' (60pt), checkmark 'READY' (60pt). 50% white space. NO other text." -o figures/conclusions.png

Workflow for PPTX Poster Creation

Stage 1: Planning

  1. Confirm PPTX is explicitly requested
  2. Determine poster requirements:
    • Size: 36×48 inches (most common) or A0
    • Orientation: Portrait (most common)
  3. Develop content outline:
    • Identify 1-3 core messages
    • Plan 3-5 visual elements
    • Draft minimal text (300-800 words total)

Stage 2: Generate Visual Elements (AI-Powered)

CRITICAL: Generate SIMPLE figures with MINIMAL content.

mkdir -p figures

# Generate each element with POSTER FORMAT specifications
# (See examples in Section 4 above)

Stage 3: Create HTML Poster

  1. Copy the template:

    cp skills/pptx-posters/assets/poster_html_template.html poster.html
    
  2. Update content:

    • Replace placeholder title and authors
    • Insert AI-generated images
    • Add minimal supporting text
    • Update references and contact info
  3. Preview in browser:

    open poster.html  # macOS
    # or
    xdg-open poster.html  # Linux
    

Stage 4: Export to PDF

Browser Print Method:

  1. Open poster.html in Chrome or Firefox
  2. Print (Cmd/Ctrl + P)
  3. Select "Save as PDF"
  4. Set paper size to match poster dimensions
  5. Remove margins
  6. Enable "Background graphics"

Command Line (if Chrome available):

# Chrome headless PDF export
google-chrome --headless --print-to-pdf=poster.pdf \
  --print-to-pdf-no-header \
  --no-margins \
  poster.html

Stage 5: Convert to PPTX (If Required)

Option 1: PDF to PPTX conversion

# Using LibreOffice
libreoffice --headless --convert-to pptx poster.pdf

# Or use online converters for simple cases

Option 2: Direct PPTX creation with python-pptx

from pptx import Presentation
from pptx.util import Inches, Pt

prs = Presentation()
prs.slide_width = Inches(48)
prs.slide_height = Inches(36)

slide = prs.slides.add_slide(prs.slide_layouts[6])  # Blank

# Add images from figures/
slide.shapes.add_picture("figures/hero.png", Inches(0), Inches(0), width=Inches(48))
# ... add other elements

prs.save("poster.pptx")

HTML Template Structure

The provided template (assets/poster_html_template.html) includes:

CSS Variables for Customization

/* Poster dimensions */
body {
  width: 2592pt;   /* 36 inches */
  height: 3456pt;  /* 48 inches */
}

/* Color scheme - customize these */
.header {
  background: linear-gradient(135deg, #1a365d 0%, #2b6cb0 50%, #3182ce 100%);
}

/* Typography */
.poster-title { font-size: 108pt; }
.authors { font-size: 48pt; }
.block-title { font-size: 52pt; }
.block-content { font-size: 34pt; }

Key Classes

Class Purpose Font Size
.poster-title Main title 108pt
.authors Author names 48pt
.affiliations Institutions 38pt
.block-title Section headers 52pt
.block-content Body text 34pt
.key-finding Highlight box 36pt

Quality Checklist

Step 0: Pre-Generation Review (MANDATORY)

For EACH planned graphic, verify:

  • Can describe in 3-4 items or less? (NOT 5+)
  • Is it a simple workflow (3-4 steps, NOT 7+)?
  • Can describe all text in 10 words or less?
  • Does it convey ONE message (not multiple)?

Reject these patterns:

  • ❌ "7-stage workflow" → Simplify to "3 mega-stages"
  • ❌ "Multiple case studies" → One case per graphic
  • ❌ "Timeline 2015-2024 annual" → "ONLY 3 key years"
  • ❌ "Compare 6 methods" → "ONLY 2: ours vs best"

Step 2b: Post-Generation Review (MANDATORY)

For EACH generated figure at 25% zoom:

✅ PASS criteria (ALL must be true):

  • Can read ALL text clearly
  • Count: 3-4 elements or fewer
  • White space: 50%+ empty
  • Understand in 2 seconds
  • NOT a complex 5+ stage workflow
  • NOT multiple nested sections

❌ FAIL criteria (regenerate if ANY true):

  • Text small/hard to read → Regenerate with "150pt+"
  • More than 4 elements → Regenerate "ONLY 3 elements"
  • Less than 50% white space → Regenerate "60% white space"
  • Complex multi-stage → SPLIT into 2-3 graphics
  • Multiple cases cramped → SPLIT into separate graphics

After Export

  • NO content cut off at ANY of the 4 edges (check carefully)
  • All images display correctly
  • Colors render as expected
  • Text readable at 25% scale
  • Graphics look SIMPLE (not like complex 7-stage workflows)

Common Pitfalls to Avoid

AI-Generated Graphics Mistakes:

  • ❌ Too many elements (10+ items) → Keep to 3-5 max
  • ❌ Text too small → Specify "GIANT (100pt+)" in prompts
  • ❌ No white space → Add "50% white space" to every prompt
  • ❌ Complex flowcharts (8+ steps) → Limit to 4-5 steps

HTML/Export Mistakes:

  • ❌ Content exceeding poster dimensions → Check overflow in browser
  • ❌ Missing background graphics in PDF → Enable in print settings
  • ❌ Wrong paper size in PDF → Match poster dimensions exactly
  • ❌ Low-resolution images → Use 300 DPI minimum

Content Mistakes:

  • ❌ Too much text (over 1000 words) → Cut to 300-800 words
  • ❌ Too many sections (7+) → Consolidate to 5-6
  • ❌ No clear visual hierarchy → Make key findings prominent

Integration with Other Skills

This skill works with:

  • Scientific Schematics: Generate all poster diagrams and flowcharts
  • Generate Image / Nano Banana Pro: Create stylized graphics and hero images
  • LaTeX Posters: DEFAULT skill for poster creation (use this instead unless PPTX explicitly requested)

Template Assets

Available in assets/ directory:

  • poster_html_template.html: Main HTML poster template (36×48 inches)
  • poster_quality_checklist.md: Pre-submission validation checklist

References

Available in references/ directory:

  • poster_content_guide.md: Content organization and writing guidelines
  • poster_design_principles.md: Typography, color theory, and visual hierarchy
  • poster_layout_design.md: Layout principles and grid systems

Version History

  • e9844a4 Current 2026-07-11 17:34

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backend/cli/skills/ml-training/hugging-face-evaluation/SKILL.md
backend/cli/skills/ml-training/knowledge-distillation/SKILL.md
backend/cli/skills/ml-training/litgpt/SKILL.md
backend/cli/skills/ml-training/llama-factory/SKILL.md
backend/cli/skills/ml-training/lm-evaluation-harness/SKILL.md
backend/cli/skills/ml-training/mamba/SKILL.md
backend/cli/skills/ml-training/megatron-core/SKILL.md
backend/cli/skills/ml-training/ml-benchmark-evaluation/SKILL.md
backend/cli/skills/ml-training/mlflow/SKILL.md
backend/cli/skills/ml-training/model-economics/SKILL.md
backend/cli/skills/ml-training/model-merging/SKILL.md
backend/cli/skills/ml-training/model-pruning/SKILL.md
backend/cli/skills/ml-training/moe-training/SKILL.md
backend/cli/skills/ml-training/nanogpt/SKILL.md
backend/cli/skills/ml-training/nemo-curator/SKILL.md
backend/cli/skills/ml-training/nnsight/SKILL.md
backend/cli/skills/ml-training/openrlhf/SKILL.md
backend/cli/skills/ml-training/peft/SKILL.md
backend/cli/skills/ml-training/prime-intellect-lab/SKILL.md
backend/cli/skills/ml-training/pufferlib/SKILL.md
backend/cli/skills/ml-training/pytorch-fsdp/SKILL.md
backend/cli/skills/ml-training/pytorch-lightning/SKILL.md
backend/cli/skills/ml-training/pyvene/SKILL.md
backend/cli/skills/ml-training/rwkv/SKILL.md
backend/cli/skills/ml-training/saelens/SKILL.md
backend/cli/skills/ml-training/simpo/SKILL.md
backend/cli/skills/ml-training/stable-baselines3/SKILL.md
backend/cli/skills/ml-training/tensorboard/SKILL.md
backend/cli/skills/ml-training/torchforge/SKILL.md
backend/cli/skills/ml-training/torchtitan/SKILL.md
backend/cli/skills/ml-training/training-data-pipeline/SKILL.md
backend/cli/skills/ml-training/transformer-lens/SKILL.md
backend/cli/skills/ml-training/trl-fine-tuning/SKILL.md
backend/cli/skills/ml-training/unsloth/SKILL.md
backend/cli/skills/ml-training/verl/SKILL.md
backend/cli/skills/other/hugging-face-trackio/SKILL.md
backend/cli/skills/other/labarchive-integration/SKILL.md
backend/cli/skills/other/skill-installer/SKILL.md
backend/cli/skills/physics/astropy/SKILL.md
backend/cli/skills/physics/autoregressive-neural-pde-solver/SKILL.md
backend/cli/skills/physics/bayesian-inference/SKILL.md
backend/cli/skills/physics/conservation-law-discovery/SKILL.md
backend/cli/skills/physics/dimensional-analysis/SKILL.md
backend/cli/skills/physics/dynamical-systems/SKILL.md
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backend/cli/skills/physics/fluidsim/SKILL.md
backend/cli/skills/physics/hamiltonian-mechanics/SKILL.md
backend/cli/skills/physics/neural-operator/SKILL.md
backend/cli/skills/physics/ode-solver/SKILL.md
backend/cli/skills/physics/pde-solver/SKILL.md
backend/cli/skills/physics/physics-databases/SKILL.md
backend/cli/skills/physics/physics-fitting/SKILL.md
backend/cli/skills/physics/physics-visualization/SKILL.md
backend/cli/skills/physics/pinn-training/SKILL.md
backend/cli/skills/physics/shock-capturing-neural-operators/SKILL.md
backend/cli/skills/physics/sindy-identification/SKILL.md
backend/cli/skills/physics/spectral-analysis/SKILL.md
backend/cli/skills/physics/statistical-mechanics/SKILL.md
backend/cli/skills/physics/symbolic-regression/SKILL.md
backend/cli/skills/physics/wave-propagation/SKILL.md
backend/cli/skills/quantum/cirq/SKILL.md
backend/cli/skills/quantum/pennylane/SKILL.md
backend/cli/skills/quantum/qiskit/SKILL.md
backend/cli/skills/quantum/qutip/SKILL.md
backend/cli/skills/research/hypothesis-generation/SKILL.md
backend/cli/skills/research/initialize-atlas-graph/SKILL.md
backend/cli/skills/research/market-research-reports/SKILL.md
backend/cli/skills/research/peer-review/SKILL.md
backend/cli/skills/research/research-grants/SKILL.md
backend/cli/skills/research/research-lookup/SKILL.md
backend/cli/skills/research/scientific-brainstorming/SKILL.md
backend/cli/skills/research/scientific-critical-thinking/SKILL.md
backend/cli/skills/visualization/dna-visualization/SKILL.md
backend/cli/skills/visualization/matplotlib/SKILL.md
backend/cli/skills/visualization/plotly/SKILL.md
backend/cli/skills/visualization/protein-diagram/SKILL.md
backend/cli/skills/visualization/scientific-visualization/SKILL.md
backend/cli/skills/visualization/seaborn/SKILL.md
backend/cli/skills/writing/citation-management/SKILL.md
backend/cli/skills/writing/hugging-face-paper-publisher/SKILL.md
backend/cli/skills/writing/latex-posters/SKILL.md
backend/cli/skills/writing/literature-review/SKILL.md
backend/cli/skills/writing/ml-paper-writing/SKILL.md
backend/cli/skills/writing/scientific-writing/SKILL.md
backend/cli/skills/writing/venue-templates/SKILL.md
backend/cli/skills/biology/clinical-decision-support/SKILL.md
backend/cli/skills/biology/esm/SKILL.md
backend/cli/skills/biology/lamindb/SKILL.md
backend/cli/skills/biology/pydicom/SKILL.md
backend/cli/skills/coding/exploratory-data-analysis/SKILL.md
backend/cli/skills/coding/matlab/SKILL.md
backend/cli/skills/coding/shap/SKILL.md
backend/cli/skills/coding/sympy/SKILL.md
backend/cli/skills/data-engineering/geopandas/SKILL.md
backend/cli/skills/ml-training/hugging-face-model-trainer/SKILL.md
backend/cli/skills/other/get-available-resources/SKILL.md
backend/cli/skills/other/hugging-face-jobs/SKILL.md
backend/cli/skills/other/iso-13485-certification/SKILL.md

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