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pptx

Use this skill any time a .pptx file is involved in any way — as input, output, or both. This includes: creating slide decks, pitch decks, or presentations; reading, parsing, or extracting text from any .pptx file (even if the extracted content will be used elsewhere, like in an email or summary); editing, modifying, or updating existing presentations; combining or splitting slide files; working with templates, layouts, speaker notes, or comments. Trigger whenever the user mentions "deck," "slides," "presentation," or references a .pptx filename, regardless of what they plan to do with the content afterward. If a .pptx file needs to be opened, created, or touched, use this skill.

文档与办公596SkillBank/Common/anthropics-skill/pptx/SKILL.md

安装

把这段话发给 Claude Code、Codex 或 Cursor。智能体会先检查安全性,你确认后才安装。

读取 https://funcoding.ai/skills/ecnu-icalk/autoskill/pptx/install.md ,按里面的步骤帮我安装这个 Skill。

SKILL.md

PPTX Skill

Quick Reference

TaskGuide
Read/analyze contentpython -m markitdown presentation.pptx
Edit or create from templateRead editing.md
Create from scratchRead pptxgenjs.md

Reading Content

# Text extraction
python -m markitdown presentation.pptx

# Visual overview
python scripts/thumbnail.py presentation.pptx

# Raw XML
python scripts/office/unpack.py presentation.pptx unpacked/

Editing Workflow

Read editing.md for full details.

  1. Analyze template with thumbnail.py
  2. Unpack → manipulate slides → edit content → clean → pack

Creating from Scratch

Read pptxgenjs.md for full details.

Use when no template or reference presentation is available.


Design Ideas

Don't create boring slides. Plain bullets on a white background won't impress anyone. Consider ideas from this list for each slide.

Before Starting

  • Pick a bold, content-informed color palette: The palette should feel designed for THIS topic. If swapping your colors into a completely different presentation would still "work," you haven't made specific enough choices.
  • Dominance over equality: One color should dominate (60-70% visual weight), with 1-2 supporting tones and one sharp accent. Never give all colors equal weight.
  • Dark/light contrast: Dark backgrounds for title + conclusion slides, light for content ("sandwich" structure). Or commit to dark throughout for a premium feel.
  • Commit to a visual motif: Pick ONE distinctive element and repeat it — rounded image frames, icons in colored circles, thick single-side borders. Carry it across every slide.

Color Palettes

Choose colors that match your topic — don't default to generic blue. Use these palettes as inspiration:

ThemePrimarySecondaryAccent
Midnight Executive1E2761 (navy)CADCFC (ice blue)FFFFFF (white)
Forest & Moss2C5F2D (forest)97BC62 (moss)F5F5F5 (cream)
Coral EnergyF96167 (coral)F9E795 (gold)2F3C7E (navy)
Warm TerracottaB85042 (terracotta)E7E8D1 (sand)A7BEAE (sage)
Ocean Gradient065A82 (deep blue)1C7293 (teal)21295C (midnight)
Charcoal Minimal36454F (charcoal)F2F2F2 (off-white)212121 (black)
Teal Trust028090 (teal)00A896 (seafoam)02C39A (mint)
Berry & Cream6D2E46 (berry)A26769 (dusty rose)ECE2D0 (cream)
Sage Calm84B59F (sage)69A297 (eucalyptus)50808E (slate)
Cherry Bold990011 (cherry)FCF6F5 (off-white)2F3C7E (navy)

For Each Slide

Every slide needs a visual element — image, chart, icon, or shape. Text-only slides are forgettable.

Layout options:

  • Two-column (text left, illustration on right)
  • Icon + text rows (icon in colored circle, bold header, description below)
  • 2x2 or 2x3 grid (image on one side, grid of content blocks on other)
  • Half-bleed image (full left or right side) with content overlay

Data display:

  • Large stat callouts (big numbers 60-72pt with small labels below)
  • Comparison columns (before/after, pros/cons, side-by-side options)
  • Timeline or process flow (numbered steps, arrows)

Visual polish:

  • Icons in small colored circles next to section headers
  • Italic accent text for key stats or taglines

Typography

Choose an interesting font pairing — don't default to Arial. Pick a header font with personality and pair it with a clean body font.

Header FontBody Font
GeorgiaCalibri
Arial BlackArial
CalibriCalibri Light
CambriaCalibri
Trebuchet MSCalibri
ImpactArial
PalatinoGaramond
ConsolasCalibri
ElementSize
Slide title36-44pt bold
Section header20-24pt bold
Body text14-16pt
Captions10-12pt muted

Spacing

  • 0.5" minimum margins
  • 0.3-0.5" between content blocks
  • Leave breathing room—don't fill every inch

Avoid (Common Mistakes)

  • Don't repeat the same layout — vary columns, cards, and callouts across slides
  • Don't center body text — left-align paragraphs and lists; center only titles
  • Don't skimp on size contrast — titles need 36pt+ to stand out from 14-16pt body
  • Don't default to blue — pick colors that reflect the specific topic
  • Don't mix spacing randomly — choose 0.3" or 0.5" gaps and use consistently
  • Don't style one slide and leave the rest plain — commit fully or keep it simple throughout
  • Don't create text-only slides — add images, icons, charts, or visual elements; avoid plain title + bullets
  • Don't forget text box padding — when aligning lines or shapes with text edges, set margin: 0 on the text box or offset the shape to account for padding
  • Don't use low-contrast elements — icons AND text need strong contrast against the background; avoid light text on light backgrounds or dark text on dark backgrounds
  • NEVER use accent lines under titles — these are a hallmark of AI-generated slides; use whitespace or background color instead

QA (Required)

Assume there are problems. Your job is to find them.

Your first render is almost never correct. Approach QA as a bug hunt, not a confirmation step. If you found zero issues on first inspection, you weren't looking hard enough.

Content QA

python -m markitdown output.pptx

Check for missing content, typos, wrong order.

When using templates, check for leftover placeholder text:

python -m markitdown output.pptx | grep -iE "xxxx|lorem|ipsum|this.*(page|slide).*layout"

If grep returns results, fix them before declaring success.

Visual QA

⚠️ USE SUBAGENTS — even for 2-3 slides. You've been staring at the code and will see what you expect, not what's there. Subagents have fresh eyes.

Convert slides to images (see Converting to Images), then use this prompt:

Visually inspect these slides. Assume there are issues — find them.

Look for:
- Overlapping elements (text through shapes, lines through words, stacked elements)
- Text overflow or cut off at edges/box boundaries
- Decorative lines positioned for single-line text but title wrapped to two lines
- Source citations or footers colliding with content above
- Elements too close (< 0.3" gaps) or cards/sections nearly touching
- Uneven gaps (large empty area in one place, cramped in another)
- Insufficient margin from slide edges (< 0.5")
- Columns or similar elements not aligned consistently
- Low-contrast text (e.g., light gray text on cream-colored background)
- Low-contrast icons (e.g., dark icons on dark backgrounds without a contrasting circle)
- Text boxes too narrow causing excessive wrapping
- Leftover placeholder content

For each slide, list issues or areas of concern, even if minor.

Read and analyze these images:
1. /path/to/slide-01.jpg (Expected: [brief description])
2. /path/to/slide-02.jpg (Expected: [brief description])

Report ALL issues found, including minor ones.

Verification Loop

  1. Generate slides → Convert to images → Inspect
  2. List issues found (if none found, look again more critically)
  3. Fix issues
  4. Re-verify affected slides — one fix often creates another problem
  5. Repeat until a full pass reveals no new issues

Do not declare success until you've completed at least one fix-and-verify cycle.


Converting to Images

Convert presentations to individual slide images for visual inspection:

python scripts/office/soffice.py --headless --convert-to pdf output.pptx
pdftoppm -jpeg -r 150 output.pdf slide

This creates slide-01.jpg, slide-02.jpg, etc.

To re-render specific slides after fixes:

pdftoppm -jpeg -r 150 -f N -l N output.pdf slide-fixed

Dependencies

  • pip install "markitdown[pptx]" - text extraction
  • pip install Pillow - thumbnail grids
  • npm install -g pptxgenjs - creating from scratch
  • LibreOffice (soffice) - PDF conversion (auto-configured for sandboxed environments via scripts/office/soffice.py)
  • Poppler (pdftoppm) - PDF to images

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