One-sentence description
Automatically generate beautiful PPTs from HTML, supporting presentation editing, comment management, and content extraction.
Presentation Creation & Editing - Creating presentations from HTML, editing content, managing comments, extracting text.
Use Cases
Applicable:
- Automatically generate standardized PPT reports from data/HTML
- Create beautiful presentations (sales, training, reporting)
- Extract PPT text, comments, speaker notes
- Modify slide content, layout, theme
- Batch generate multiple presentations
Not Applicable:
- Complex animation production (use professional software)
- Real-time collaborative editing (use Google Slides for real-time collaboration)
Core Workflow
用户需求 → 内容分析 → 配色选择 → 工具选择 → 生成 PPT → 验证输出
User request → Content analysis → Color palette → Tool selection → Generate PPT → Validate
Task Classification:
Creating Presentations
-
HTML to PPT Workflow (RECOMMENDED)
- Write HTML slides with styling
- Convert using html2pptx library
- Accurate positioning and formatting
- Web-safe fonts only (Arial, Helvetica, Georgia, etc.)
-
Python-PPTX Workflow
- Programmatic slide creation
- Batch generation from data
- Template-based automation
Reading & Analysis
- Text extraction → markitdown (convert to markdown)
- Comments & Notes → Unpack OOXML and read XML
- Design analysis → Extract theme, colors, fonts from XML
Editing Existing
- Simple edits → python-pptx library
- Complex edits → Unpack OOXML, modify XML, repack
Task Completion Criteria
Must Satisfy(all are required):
- PPT opens and plays normally
- Slide content is clear and readable
- Coordinated color scheme with clear visual hierarchy
- Reasonable layout with no crowded text
Quality Rating:
- ⭐⭐⭐⭐⭐ Excellent - Exquisite design + complete content + automated generation
- ⭐⭐⭐ Pass - Correct content + usable PPT + standard formatting
- ⭐ Fail - PPT is corrupted or content is incorrect
Reference Materials (for AI use)
| Type | Path | Description |
|---|---|---|
| Core Documentation | docs/00-SKILL-完整制作指南.md |
Complete PPT creation guide (~500 lines) |
| OOXML Library | ooxml/ |
Low-level XML operations |
| Tool Scripts | scripts/unpack.py |
Unpack PPTX files |
| Tool Scripts | scripts/pack.py |
Pack PPTX files |
Critical Principles (AI Must Read)
1. Design First - Content-Informed Approach
CRITICAL: Before creating any presentation, analyze the content:
- Consider subject matter: What is this about? What tone/industry/mood?
- Check branding: If company mentioned, consider brand colors
- Match palette to content: Select colors reflecting the subject
- State your approach: Explain design choices BEFORE writing code
2. Web-Safe Fonts Only
Allowed fonts: Arial, Helvetica, Times New Roman, Georgia, Courier New, Verdana, Tahoma, Trebuchet MS, Impact
- No custom fonts: They won't render correctly
- Font pairing: Use max 2-3 fonts per presentation
3. Visual Hierarchy
- Extreme size contrast: 72pt headlines vs 11pt body text
- Weight variation: Bold headers, normal body, light captions
- Color emphasis: Use accent color for key information
- Clear structure: Title → Main content → Supporting details
4. Chart & Table Layout Rules
PREFERRED - Two-column layout:
- Header spanning full width
- Text/bullets in one column (40%) + Chart/table in other (60%)
- Better balance and readability
Alternative - Full-slide layout:
- Chart/table takes entire slide for maximum impact
NEVER vertically stack:
- ❌ Do NOT place charts/tables below text in single column
- ❌ Causes poor readability and layout issues
5. Color Palette Selection (18 color schemes)
Think beyond defaults: What colors genuinely match this topic? Consider multiple angles: Topic, industry, mood, energy, audience, brand Be adventurous: Healthcare doesn't have to be green, finance doesn't have to be navy
18 Selected Color Palettes
Business & Professional
- Classic Blue: Navy (#1C2833), Slate (#2E4053), Silver (#AAB7B8), Off-white (#F4F6F6)
- Black & Gold: Gold (#BF9A4A), Black (#000000), Cream (#F4F6F6)
- Charcoal & Red: Charcoal (#292929), Red (#E33737), Light Gray (#CCCBCB)
Creative & Vibrant
- Teal & Coral: Teal (#5EA8A7), Deep Teal (#277884), Coral (#FE4447), White (#FFFFFF)
- Retro Rainbow: Purple (#722880), Pink (#D72D51), Orange (#EB5C18), Amber (#F08800), Gold (#DEB600)
- Vibrant Orange: Orange (#F96D00), Light Gray (#F2F2F2), Charcoal (#222831)
- Bold Red: Red (#C0392B), Bright Red (#E74C3C), Orange (#F39C12), Yellow (#F1C40F), Green (#2ECC71)
Natural & Warm
- Sage & Terracotta: Sage (#87A96B), Terracotta (#E07A5F), Cream (#F4F1DE), Charcoal (#2C2C2C)
- Forest Green: Black (#191A19), Green (#4E9F3D), Dark Green (#1E5128), White (#FFFFFF)
- Vintage Earthy: Mustard (#E3B448), Sage (#CBD18F), Forest Green (#3A6B35), Cream (#F4F1DE)
- Cream & Forest: Cream (#FFE1C7), Forest Green (#40695B), White (#FCFCFC)
Elegant & Soft
- Warm Blush: Mauve (#A49393), Blush (#EED6D3), Rose (#E8B4B8), Cream (#FAF7F2)
- Coastal Rose: Old Rose (#AD7670), Beaver (#B49886), Eggshell (#F3ECDC), Ash Gray (#BFD5BE)
- Pink & Purple: Pink (#F8275B), Coral (#FF574A), Rose (#FF737D), Purple (#3D2F68)
Luxury & Bold
- Burgundy Luxury: Burgundy (#5D1D2E), Crimson (#951233), Rust (#C15937), Gold (#997929)
- Deep Purple & Emerald: Purple (#B165FB), Dark Blue (#181B24), Emerald (#40695B), White (#FFFFFF)
Fresh & Modern
- Lime & Plum: Lime (#C5DE82), Plum (#7C3A5F), Coral (#FD8C6E), Blue-Gray (#98ACB5)
- Orange & Turquoise: Light Orange (#FC993E), Grayish Turquoise (#667C6F), White (#FCFCFC)
Quick Command Reference
Text Extraction
# Convert PPTX to markdown
python -m markitdown presentation.pptx
Create Simple Presentation
from pptx import Presentation
prs = Presentation()
slide = prs.slides.add_slide(prs.slide_layouts[0]) # Title slide
title = slide.shapes.title
subtitle = slide.placeholders[1]
title.text = "Hello World!"
subtitle.text = "My First Presentation"
prs.save("output.pptx")
Unpack PPTX for Analysis
# Unpack PPTX to access raw XML
python ooxml/scripts/unpack.py presentation.pptx output_dir
# Key files to examine:
# ppt/presentation.xml - Main metadata
# ppt/slides/slide1.xml - Individual slide contents
# ppt/theme/theme1.xml - Theme colors and fonts
# ppt/comments/ - Comments
# ppt/notesSlides/ - Speaker notes
Repack After Editing
# Pack modified XML back to PPTX
python ooxml/scripts/pack.py output_dir new_presentation.pptx
HTML to PPT Workflow
# Step 1: Write HTML slides
html_content = """
<!DOCTYPE html>
<html>
<head>
<style>
.slide { width: 960px; height: 720px; padding: 40px; }
h1 { font-family: Arial; font-size: 48px; color: #1C2833; }
p { font-family: Arial; font-size: 24px; color: #2E4053; }
</style>
</head>
<body>
<div class="slide">
<h1>Welcome</h1>
<p>This is my presentation</p>
</div>
</body>
</html>
"""
# Step 2: Convert to PPTX
from html2pptx import html2pptx
with open("slides.html", "w") as f:
f.write(html_content)
html2pptx("slides.html", "output.pptx")
Dependencies Installation
Python Dependencies
pip install -r requirements.txt
# Includes: python-pptx, html2pptx, markitdown
Common Scenarios
Scenario 1: Create Professional Title Slide
from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.dml.color import RGBColor
prs = Presentation()
slide = prs.slides.add_slide(prs.slide_layouts[6]) # Blank layout
# Add title
left = Inches(1)
top = Inches(2.5)
width = Inches(8)
height = Inches(1.5)
title_box = slide.shapes.add_textbox(left, top, width, height)
title_frame = title_box.text_frame
title_frame.text = "2024 Sales Report"
# Format title
title_para = title_frame.paragraphs[0]
title_para.font.size = Pt(72)
title_para.font.bold = True
title_para.font.color.rgb = RGBColor(28, 40, 51) # Navy
# Add subtitle
subtitle_box = slide.shapes.add_textbox(left, Inches(4), width, Inches(0.5))
subtitle_frame = subtitle_box.text_frame
subtitle_frame.text = "Q4 Performance Review"
subtitle_para = subtitle_frame.paragraphs[0]
subtitle_para.font.size = Pt(24)
subtitle_para.font.color.rgb = RGBColor(46, 64, 83) # Slate
prs.save("title_slide.pptx")
Scenario 2: Extract All Speaker Notes
# Step 1: Unpack PPTX
python ooxml/scripts/unpack.py presentation.pptx unpacked/
# Step 2: Extract notes using grep
cd unpacked/ppt/notesSlides/
grep -r "a:t>" . | sed 's/<[^>]*>//g' > ../../all_notes.txt
Scenario 3: Batch Generate Slides from Data
from pptx import Presentation
from pptx.util import Inches, Pt
data = [
{"name": "Product A", "sales": 1200, "growth": "15%"},
{"name": "Product B", "sales": 980, "growth": "8%"},
{"name": "Product C", "sales": 1450, "growth": "22%"}
]
prs = Presentation()
for item in data:
slide = prs.slides.add_slide(prs.slide_layouts[1]) # Title and content
title = slide.shapes.title
title.text = item["name"]
body = slide.placeholders[1]
tf = body.text_frame
tf.text = f"Sales: ${item['sales']}M"
p = tf.add_paragraph()
p.text = f"Growth: {item['growth']}"
p.level = 1
prs.save("batch_report.pptx")