---

name: pptx description: "Generates PowerPoint presentations from templates with consistent styling across tables, charts, and Mermaid diagrams. Use when creating PPTX files, working with template-based presentations, or applying unified styling from style.yaml. Supports Python, R, and native PowerPoint shapes."

PPTX Skill (Template-based)

0. Scope & Prerequisites

This skill is template-first and uses style.yaml as Single Source of Truth.

• ✅ ALWAYS reference TEMPLATE.md for layout selection - different layouts have different placeholder indices
• ✅ Always begin with template.pptx
• ✅ Extract styles from Chart.crtx and template.pptx into style.yaml
• ✅ Use consistent styling across Python, R, and Mermaid

---

1. Working Directory Structure

To keep the skill directory clean, all working files should be placed in a separate project directory:

{project}/
└── powerpoint/          # All PowerPoint-related files (auto-created)
    ├── outline.md       # Content definition (input, human-edited)
    ├── generate_*.py    # Generation script (AI-created, preserved for reference)
    ├── output.pptx      # Final output
    └── processing/      # Temporary files and generation logs (safe to delete)
        ├── snapshot/    # Generation-time snapshots (for audit/reproducibility)
        │   ├── template.pptx    # Template used at generation time
        │   ├── template.crtx    # Chart template used at generation time
        │   ├── style.yaml       # Style config used at generation time
        │   ├── TEMPLATE.md      # Layout documentation used at generation time
        │   └── timestamp.txt    # Generation timestamp and skill version
        ├── pptx_generation.log  # Debug logs (auto-generated)
        ├── charts/      # R-generated SVG/PNG (optional)
        ├── diagrams/    # Mermaid-generated SVG (optional)
        └── temp/        # Other temporary files (optional)

Directory Roles

• powerpoint/outline.md - Markdown file defining slide content and structure (human-edited input, high-level design)
• powerpoint/generate_*.py - Python script that generates the presentation (AI-created from outline.md, preserved for reference)
• powerpoint/output.pptx - Final generated PowerPoint presentation (output)
• powerpoint/processing/ - Temporary/intermediate files and logs (can be safely deleted, but useful for audit)
  • snapshot/ - Snapshots of templates/styles used at generation time (for reproducibility and audit)
  • pptx_generation.log - Detailed debug and error logs (auto-generated)

Setup

No manual setup required! The generation script automatically:

• Creates powerpoint/processing/ directory structure
• Copies templates to processing/snapshot/ for audit logging
• Initializes logging to processing/pptx_generation.log

Optional: Create subdirectories for R charts or Mermaid diagrams if needed:

mkdir -p powerpoint/processing/{charts,diagrams,temp}

Logging (Automatic)

All PPTX generation activities are automatically logged to powerpoint/processing/pptx_generation.log:

• Auto-detection: Finds powerpoint/processing/ directory automatically
• Console: Shows warnings/errors only
• Log file: Records all debug information, validation errors, and styling issues

No manual setup required - logging initializes on first use of table/chart creation functions.

---

1.5. outline.md Format

The outline.md file defines presentation content at a high level. AI reads this file and generates a corresponding Python script (generate_*.py) that creates the PowerPoint presentation.

Format Specification

IMPORTANT: Every slide MUST specify its layout explicitly using the **Layout**: field.

# Presentation Title

---

## Slide 1: [Slide Title]
**Layout**: 0 (00_Title)

- タイトル: [Main Title Text]
- サブタイトル: [Subtitle Text]
- 副題: [Additional Subtitle] (optional)

---

## Slide 2: [Section Title]
**Layout**: 2 (02_Section)

- タイトル: [Section Title]

---

## Slide 3: [Table Slide Title]
**Layout**: 7 (Handout_Single_Table_Pos)

- タイトル: [Slide Title]
- KeyMessage: [Key message]

### [Table Title]
| Column 1 | Column 2 | Column 3 |
|----------|----------|----------|
| Data 1A  | Data 1B  | Data 1C  |
| Data 2A  | Data 2B  | Data 2C  |

---

## Slide 4: [Chart Slide Title]
**Layout**: 5 (Handout_Single_Chart_Pos)

- タイトル: [Slide Title]
- KeyMessage: [Key message]

### [Chart Description]
- グラフ: [Chart type and description]
- データ: [Data description or actual values]

---

## Slide 5: [Text Content Slide]
**Layout**: 11 (Handout_Single_Object_Pos)

- タイトル: [Slide Title]
- KeyMessage: [Key message]

### [Content]
- **[Point 1]**
  - [Detail 1]
  - [Detail 2]

- **[Point 2]**
  - [Detail 1]
  - [Detail 2]

Layout Selection Guidelines:

• 0 (00_Title) - Opening slide with title and subtitle
• 1 (01_Contents) - Table of contents or text-focused slides
• 2 (02_Section) - Section dividers
• 5 (Handout_Single_Chart_Pos) - Full-width chart with key message
• 7 (Handout_Single_Table_Pos) - Full-width table with key message
• 11 (Handout_Single_Object_Pos) - Full-width content (text, diagrams, etc.)

For complete layout reference, see ~/.claude/skills/pptx/templates/TEMPLATE.md

AI Workflow

When AI creates outline.md:

1. MUST specify Layout for every slide - Reference TEMPLATE.md to choose appropriate layout
2. Use layout name format: **Layout**: [number] ([name])
   • Example: **Layout**: 7 (Handout_Single_Table_Pos)
3. Select layout based on content type:
   • Title slide → Layout 0
   • Section divider → Layout 2
   • Table → Layout 7
   • Chart → Layout 5
   • Text/Objects → Layout 11

When AI processes outline.md to generate presentation:

1. Reads outline.md - Extracts layout number and content
2. References TEMPLATE.md - Looks up placeholder indices for specified layout
3. Generates generate_*.py - Creates Python script with:
   • Layout from outline.md (e.g., prs.slide_layouts[7])
   • Correct placeholder indices from TEMPLATE.md (e.g., placeholders[16] for TABLE)
   • Structured data specifications (table_spec, chart_spec)
   • Styling via create_styled_table() and create_styled_chart()
4. Executes script - Runs python generate_*.py to create output.pptx

Information AI Supplements

AI automatically determines technical details not explicitly in outline.md:

• Placeholder indices (from TEMPLATE.md based on specified layout)
• Content structure (converting bullet lists to table_spec)
• Chart types (inferring from context)
• Specific data values (if not provided)

Note: Layout numbers are now explicitly specified in outline.md, not inferred by AI.

Example Mapping

outline.md (AI creates with Layout specified):

## Slide 2: 課題認識
**Layout**: 7 (Handout_Single_Table_Pos)

- タイトル: こんな課題はありませんか？
- KeyMessage: 新規事業の成否は「人」に依存するが...

### 3つの課題
1. **異動・採用の判断**
   - この候補者はイノベーションに向いているか？

AI generates in generate_*.py (based on specified Layout 7):

# Uses Layout 7 as specified in outline.md
slide = prs.slides.add_slide(prs.slide_layouts[7])
slide.shapes.title.text = "こんな課題はありませんか？"

# References TEMPLATE.md: Layout 7 has KeyMessage at idx=13
slide.placeholders[13].text = "新規事業の成否は..."

table_spec = {
    'data': [
        ['課題', '具体的な悩み'],  # AI structures bullet list as table
        ['異動・採用の判断', '• この候補者は...'],
        ...
    ],
    'header_row': True
}

# References TEMPLATE.md: Layout 7 has TABLE at idx=16
create_styled_table(slide, slide.placeholders[16], table_spec)

Human Editing Workflow

When a human edits outline.md:

1. Change Layout: Modify **Layout**: [number] ([name])
   • Example: Change from Layout 7 (table) to Layout 5 (chart)
2. Adjust Content: Update content to match new layout
3. Regenerate: Ask AI to regenerate generate_*.py from modified outline.md
4. Execute: Run python generate_*.py to create updated presentation

---

2. Files and Roles

Core Files

• templates/template.pptx - Slide layouts, theme colors/fonts (human-edited, shared across projects)
• templates/template.crtx - Chart template with styling (human-edited, shared across projects)
• templates/style.yaml - Master style definitions (auto-generated from templates, shared across projects)
• templates/TEMPLATE.md - Layout documentation (auto-generated from template.pptx, used by AI for layout selection)
• {project}/powerpoint/processing/snapshot/* - Snapshots of templates/styles/docs used at generation time (auto-copied for audit)

Scripts

• scripts/extract_style.py - Generate style.yaml from templates
• scripts/style_config.py - Python style loader
• scripts/style_config.R - R style loader
• scripts/mermaid_to_shapes.py - Mermaid → native PowerPoint shapes
• scripts/native_objects.py - Native table/chart/diagram creation (with validation & logging)
• scripts/crtx_utils.py - Chart.crtx utilities (with detailed error logging)
• scripts/logging_utils.py - Auto-configured logging to processing/pptx_generation.log
• scripts/layout_registry.py - Layout management
• scripts/generate_template.py - TEMPLATE.md auto-generation (maintenance tool)

---

3. Style System

Generate Master Style (templates/style.yaml)

When you update template.pptx or template.crtx, regenerate the master style:

cd ~/.claude/skills/pptx
python scripts/extract_style.py

This extracts styling from:

• templates/template.crtx - Series colors, axes, legend, data labels
• templates/template.pptx Slide 1 - Table styling
• templates/template.pptx Slide 2 - Flowchart/diagram styling

Output: templates/style.yaml (master template)

Generation-Time Snapshots

For audit and reproducibility, the system snapshots templates/styles at generation time:

• Auto-snapshot: On each generation, copies current templates to powerpoint/processing/snapshot/
  • template.pptx - The template file used
  • template.crtx - The chart template used
  • style.yaml - The style configuration used
  • timestamp.txt - Generation timestamp and skill version
• Purpose: Audit trail showing exactly which templates produced the output
• Regeneration: Always uses latest templates from ~/.claude/skills/pptx/templates/ (not the snapshot)
• Benefit: You can diff snapshots to see how template changes affect output over time

style.yaml Structure

colors:
  primary: "#4F4F70"
  series:
    - type: rgb
      value: "#4F4F70"
    - type: theme
      value: bg1
      brightness: -0.25

category_axis:
  visible: true
  font:
    size_pt: 11
    color_type: theme
    color_value: tx1
    brightness: 0.35

value_axis:
  visible: false

legend:
  position: bottom
  font:
    size_pt: 11

table:
  header:
    fill_theme: bg1
    fill_brightness: -0.5
  body:
    column_brightness: [-0.15, -0.05, -0.05, -0.05]

flowchart:
  node:
    fill: "#4F4F70"
    shadow:
      enabled: false
  connector:
    type: elbow
    dash_style: solid

---

4. Usage

Creating Presentations (REQUIRED)

IMPORTANT: Always use native_objects.py for creating tables and charts. This ensures:

• Complete styling from .crtx template is applied
• Automatic data validation
• Detailed error logging to powerpoint/processing/pptx_generation.log

CRITICAL: Different layouts have different placeholder indices. Always check TEMPLATE.md or use the debug script to find the correct idx for your layout.

import sys
import os
sys.path.insert(0, os.path.expanduser('~/.claude/skills/pptx'))

from pptx import Presentation
from scripts.native_objects import create_styled_table, create_styled_chart

# Load template
skill_dir = os.path.expanduser('~/.claude/skills/pptx')
template_path = os.path.join(skill_dir, 'templates', 'template.pptx')
prs = Presentation(template_path)

# Example 1: Create a chart slide (use Layout 5)
slide = prs.slides.add_slide(prs.slide_layouts[5])  # Handout_Single_Chart_Pos
slide.shapes.title.text = "Sales Report"
slide.placeholders[13].text = "Q1-Q4 performance analysis"
# Chart placeholder is idx=15 for this layout
chart_spec = {
    'chart_kind': 'column',  # 'line', 'bar', 'pie'
    'categories': ['Q1', 'Q2', 'Q3', 'Q4'],
    'series': [
        {'name': 'Sales', 'values': [100, 120, 110, 130]},
        {'name': 'Cost', 'values': [80, 90, 85, 95]}
    ]
}
create_styled_chart(slide, slide.placeholders[15], chart_spec)

# Example 2: Create a table slide (use Layout 7)
slide = prs.slides.add_slide(prs.slide_layouts[7])  # Handout_Single_Table_Pos
slide.shapes.title.text = "Summary Data"
slide.placeholders[13].text = "Key metrics overview"
# Table placeholder is idx=16 for this layout
table_spec = {
    'data': [
        ['項目', '値A', '値B'],
        ['データ1', '100', '200'],
        ['データ2', '150', '250']
    ],
    'header_row': True
}
create_styled_table(slide, slide.placeholders[16], table_spec)

prs.save('powerpoint/output.pptx')

Reading Styles (Advanced)

For custom styling beyond native objects, use StyleConfig:

from scripts.style_config import StyleConfig

# Auto-detects: templates/style.yaml (master)
style = StyleConfig.load()
primary = style.colors['primary']  # '#4F4F70'
table_config = style.table

# Or specify path explicitly:
style = StyleConfig.load('~/.claude/skills/pptx/templates/style.yaml')

StyleConfig.load() behavior:

• Always loads from ~/.claude/skills/pptx/templates/style.yaml (master template)
• Generation snapshots are saved to processing/snapshot/style.yaml for audit only
• No project-specific customization - all styling comes from the master template

WARNING: Using StyleConfig directly requires manual application of all styles. Prefer native_objects.py instead.

R

source("scripts/style_config.R")
style <- load_style("style.yaml")
colors <- get_series_colors(style, 3)

Mermaid → Native Shapes

from scripts.mermaid_to_shapes import create_flowchart_shapes

code = """flowchart LR
    A[Start] --> B{Decision}
    B -->|Yes| C[Action]
    B -->|No| D[End]"""

create_flowchart_shapes(slide, placeholder, code)

---

5. Render Modes

Type	Mode	Description	Editable
TABLE	NATIVE	python-pptx table	✅
CHART	NATIVE	python-pptx with Chart.crtx	✅
DIAGRAM	NATIVE	Mermaid → native shapes	✅

Note: All rendering uses NATIVE mode for maximum editability in PowerPoint.

---

6. Template Layouts

IMPORTANT: For complete layout reference, see TEMPLATE.md.

TEMPLATE.md provides:

• All 124 available layouts with detailed descriptions
• Naming convention: {Usage}_{Layout}_{Content}_{Variant}
• Selection guidelines for Handout vs Preso layouts
• AI guidelines for outline.md creation

Quick Reference

Foundation Layouts:

• 0: 00_Title - Opening slide
• 1: 01_Contents - Table of contents
• 2: 02_Section - Section divider

Common Layouts:

• 0: 00_Title - Title slide
• 5: Handout_Single_Chart_Pos - Full-width chart with key message
• 7: Handout_Single_Table_Pos - Full-width table with key message
• 11: Handout_Single_Object_Pos - Full-width object (for Mermaid diagrams)
• 66: Preso_Single_Chart_Pos - Presentation mode chart

Key Placeholder Indices (vary by layout - check TEMPLATE.md):

• idx=0: TITLE (most layouts)
• idx=13: KeyMessage (most content layouts)
• idx=15: CHART (chart layouts like 5, 6)
• idx=16: TABLE (table layouts like 7, 8)
• idx=1: OBJECT (object layouts like 11, 12)

IMPORTANT: Always reference TEMPLATE.md for exact placeholder indices for each layout.

---

7. Dependencies

Python

pip install python-pptx lxml pyyaml pillow

R

install.packages(c("ggplot2", "yaml", "dplyr", "tidyr"))

Mermaid (optional)

npm install -g @mermaid-js/mermaid-cli

---

8. Workflow Example

Complete Example

#!/usr/bin/env python3
import sys
import os
sys.path.insert(0, os.path.expanduser('~/.claude/skills/pptx'))

from pptx import Presentation
from pptx.util import Pt
from pptx.enum.text import PP_ALIGN
from scripts.native_objects import create_styled_table, create_styled_chart

# Setup (run once in project directory)
# mkdir -p powerpoint/processing/{charts,diagrams,temp}
# cp ~/.claude/skills/pptx/templates/template.pptx powerpoint/

# Load template
prs = Presentation('template.pptx')

# Delete existing slides
while len(prs.slides) > 0:
    rId = prs.slides._sldIdLst[0].rId
    prs.part.drop_rel(rId)
    del prs.slides._sldIdLst[0]

# Slide 1: Title slide
slide = prs.slides.add_slide(prs.slide_layouts[0])
slide.shapes.title.text = "Presentation Title"
slide.placeholders[1].text = "Subtitle\nDate"

# Slide 2: Chart slide (use Layout 5 for charts)
slide = prs.slides.add_slide(prs.slide_layouts[5])  # Handout_Single_Chart_Pos
slide.shapes.title.text = "Chart Example"
slide.placeholders[13].text = "Key message about this chart"
# Chart placeholder is idx=15
chart_spec = {
    'chart_kind': 'column',
    'categories': ['Q1', 'Q2', 'Q3', 'Q4'],
    'series': [
        {'name': 'Sales', 'values': [100, 120, 110, 130]},
        {'name': 'Cost', 'values': [80, 90, 85, 95]}
    ]
}
create_styled_chart(slide, slide.placeholders[15], chart_spec)

# Slide 3: Table slide (use Layout 7 for tables)
slide = prs.slides.add_slide(prs.slide_layouts[7])  # Handout_Single_Table_Pos
slide.shapes.title.text = "Table Example"
slide.placeholders[13].text = "Summary statistics"
# Table placeholder is idx=16
table_spec = {
    'data': [
        ['Item', 'Value A', 'Value B', 'Total'],
        ['Product 1', '100', '200', '300'],
        ['Product 2', '150', '250', '400']
    ],
    'header_row': True
}
create_styled_table(slide, slide.placeholders[16], table_spec)

# Save
prs.save('powerpoint/output.pptx')
print("✅ Presentation created: powerpoint/output.pptx")
print("📋 Check logs: cat powerpoint/processing/pptx_generation.log")

R Charts (Advanced)

For complex ggplot2 charts, use R with style.yaml:

source("~/.claude/skills/pptx/scripts/style_config.R")
style <- load_style("powerpoint/processing/style.yaml")

p <- ggplot(data, aes(x, y)) +
  geom_bar(fill = get_primary_color(style)) +
  theme_style(style)

# Save as PNG and insert manually into PowerPoint
ggsave("powerpoint/processing/charts/chart.png", p, width = 10, height = 6, dpi = 300)

---

9. Troubleshooting

Check Logs

If tables or charts fail to generate correctly:

cat powerpoint/processing/pptx_generation.log

Common Issues

Table creation fails

• Log shows: Row X has Y columns, expected Z → Check data array consistency
• Log shows: Table spec.data is empty → Verify data is not empty

Chart creation fails

• Log shows: Series 'X' contains non-numeric value → All chart values must be numbers
• Log shows: Chart.crtx not found → Template path issue (auto-fixed in latest version)
• Log shows: Unknown theme color 'accentX' → Check style.yaml theme color definitions

Styling not applied

• Log shows: Failed to apply category axis styling → Check template.crtx compatibility
• Console shows warnings → Check powerpoint/processing/pptx_generation.log for details

Error Prevention

All input data is now validated:

• Table: Column count consistency, non-empty data
• Chart: Numeric values, matching series/category lengths, non-empty series
• Template paths use absolute paths (no longer dependent on working directory)