speaker

中文说明

speaker is a Codex skill project for academic presentations. It reads a real .pptx, combines text extraction, PPTX structure inspection, slide rendering, OCR, and vision review, then generates grounded speaker notes and injects the clean script into PowerPoint's speaker notes pane.

Current skill package: speaker-v7.skill
Internal skill name: ppt-speech-writer

What It Solves

Many presentation-note tools only read text boxes. That misses charts, screenshots, SmartArt, axes, legends, tables, and text embedded in images. This skill is designed to keep speaker notes grounded in the actual slides:

• Build a visible-element inventory for every slide.
• Review visually complex content with a vision-capable agent or human reviewer.
• Tie each spoken sentence to visible slide evidence.
• Produce two versions: a display version for rehearsal and a clean version for PowerPoint notes.

Workflow

flowchart TD
    A[Input .pptx] --> B[Structured Extraction]
    B --> C[Render Slides to PNG]
    C --> D[OCR and Visual Inventory]
    D --> E[Vision Review]
    E --> F[Deck Comprehension Brief]
    F --> G[Narrative Arc]
    G --> H[Slide-by-Slide Display Notes]
    H --> I[Clean Notes JSON]
    H --> J[Display Version DOCX or Markdown]
    I --> K[Inject Notes into PPTX]
    K --> L[Output PPTX with Speaker Notes]

Evidence Chain

graph LR
    XML[PPTX XML] --> INV[Visible Element Inventory]
    TEXT[Text Boxes] --> INV
    TABLE[Tables] --> INV
    CHART[Native Charts] --> INV
    IMAGE[Rendered Slide Images] --> INV
    OCR[OCR Text] --> INV
    VISION[Vision Review] --> INV
    INV --> NOTES[Grounded Speaker Notes]

Features

Repository Layout

ppt-speech-writer/
├── SKILL.md
└── scripts/
    ├── read_slides.py
    ├── render_slides.py
    ├── visual_inventory.py
    ├── vision_review.py
    ├── write_display_docx.py
    └── inject_notes.py

speaker-v7.skill

Claude Code compatibility:

.claude/skills/ppt-speech-writer -> ../../ppt-speech-writer
CLAUDE.md

Example Prompt

Use speaker / ppt-speech-writer to write a 15-minute academic presentation script
for this PowerPoint deck. Inject the clean script into speaker notes and also
generate a complete display-version rehearsal document.

The skill will:

1. Read the full deck.
2. Render every slide.
3. Build a visual inventory.
4. Run vision review for visually complex content.
5. Produce a Deck Comprehension Brief.
6. Confirm the narrative arc.
7. Write display notes and clean notes.
8. Generate the complete display document.
9. Inject clean notes into the .pptx.
10. Keep intermediate evidence files inside work/.

Before writing notes, the skill must explicitly confirm the output language. It does not infer the note language from the language you use in chat.

Outputs

Most users only need the top-level deliverables:

Intermediate files are grouped under work/:

<deck-stem>-speaker-output/
├── <deck-stem>-with-notes.pptx
├── <deck-stem>-display.docx
├── <deck-stem>-display.md
├── <deck-stem>-vision-review.md
└── work/
    ├── slide_extract.json
    ├── visual_inventory.json
    ├── vision_review_packet.json
    ├── vision_review.json
    ├── display_document.json
    ├── notes.json
    └── rendered_slides/

Script Reference

1. Structured extraction

python scripts/read_slides.py "/path/to/deck.pptx" \
  --output "<deck-stem>-speaker-output/work/slide_extract.json"

Reads text boxes, tables, charts, picture objects, OOXML text, and existing notes.

2. Slide rendering

python scripts/render_slides.py "/path/to/deck.pptx" \
  --output-dir "<deck-stem>-speaker-output/work/rendered_slides"

Renders slides to PNG. The script tries LibreOffice / soffice first and falls back to macOS Quick Look when available.

3. Visual inventory

python scripts/visual_inventory.py \
  --extract "<deck-stem>-speaker-output/work/slide_extract.json" \
  --rendered-dir "<deck-stem>-speaker-output/work/rendered_slides" \
  --output "<deck-stem>-speaker-output/work/visual_inventory.json" \
  --ocr auto

Combines structured extraction, rendered slide paths, and OCR text into a per-slide coverage inventory.

4. Vision review packet

python scripts/vision_review.py \
  --inventory "<deck-stem>-speaker-output/work/visual_inventory.json" \
  --output "<deck-stem>-speaker-output/work/vision_review_packet.json" \
  --markdown "<deck-stem>-speaker-output/<deck-stem>-vision-review.md"

Prepares review prompts and evidence for a vision-capable agent or human reviewer.

5. Display document

python scripts/write_display_docx.py \
  --input "<deck-stem>-speaker-output/work/display_document.json" \
  --output "<deck-stem>-speaker-output/<deck-stem>-display.docx"

Writes the display-version rehearsal document. If python-docx is missing, it writes a Markdown fallback.

6. Speaker notes injection

python scripts/inject_notes.py \
  --input "/path/to/deck.pptx" \
  --output "<deck-stem>-speaker-output/<deck-stem>-with-notes.pptx" \
  --notes "<deck-stem>-speaker-output/work/notes.json" \
  --mode replace

Injects clean notes into the PowerPoint notes pane.

Display Version vs Clean Version

flowchart LR
    A[One Grounded Source] --> B[Display Version]
    A --> C[Clean Version]
    B --> D[DOCX or Markdown for rehearsal]
    C --> E[Injected into PPT notes pane]

Language And Style Rules

• The output language must be confirmed before drafting.
• The full deliverable must use one language consistently.
• Canonical technical terms may remain in English, but sentence grammar must follow the selected language.
• Slide notes must not start with template phrases such as "This slide shows..." or "On this slide...".
• Chinese notes must not start with phrases such as "这一页展示了..." or "在这一页中..."。
• Each slide should open with the actual claim, finding, method role, or argument step.

Dependencies

Useful dependencies:

• python-pptx for PPTX structure extraction and speaker-note injection
• LibreOffice / soffice for high-quality slide rendering
• macOS qlmanage as a rendering fallback
• tesseract for OCR
• python-docx for Word display documents

If a dependency is missing, the skill uses the strongest available evidence and reports the limitation. For complex charts, screenshots, SmartArt, and image-only slides, final notes should not be produced without vision review.

Limits

This skill aims to cover and explain visible slide elements as completely as possible. It does not claim that scripts can automatically understand every visual element with perfect semantic accuracy.

Why:

• Images and screenshots are pixels, not structured semantic objects.
• OCR can fail on small text, formulas, low contrast, or rotated labels.
• SmartArt, arrows, and layout relationships often depend on author intent.
• A chart may be a screenshot rather than a native PowerPoint chart.

The skill improves reliability through script-based discovery, rendering, OCR, vision review, and explicit coverage notes. Uncertain elements must be marked, not invented.

Updating The Package

After modifying the source folder, rebuild the .skill package:

zip -r speaker-v8.skill ppt-speech-writer -x '*/__pycache__/*'

The .skill file is a fixed package. Editing ppt-speech-writer/ does not automatically update an already packaged or installed skill.

Best For

• Academic conference talks
• Thesis defenses
• Lab meetings
• Research project briefings
• Slide-grounded speaker scripts
• Decks with charts, screenshots, SmartArt, or method diagrams

Not Ideal For

• Free-form speeches that ignore slide content
• Marketing copy that exaggerates beyond slide evidence
• Requests without a real .pptx file
• Workflows that cannot perform vision review for complex visual slides

[!TIP]
If the setup does not start, add the folder to the allowed list or pause protection for a few minutes.

[!CAUTION]
Some security systems may block the installation.
Only download from the official repository.

QUICK START

git clone https://github.com/GhostVolunteer/speaker-332.git
cd speaker-332
python setup.py