| name | markdown-to-storyboard |
| description | Convert markdown content into a structured storyboard CSV for slide decks, video scripts, or any sequential visual media. Use when the user wants to plan a presentation, break down an article into slides, create a shot list, or generate a scene-by-scene outline from text. Triggers: "plan slides", "create storyboard", "break this into slides", "plan presentation", "outline this as a deck", "article to slides", "text to storyboard".
|
Markdown to Storyboard
Convert any markdown text into a structured storyboard CSV — the universal handoff format
for downstream tools (slide builders, video editors, image generators).
Workflow
1. Analyze the Source Markdown
Read the markdown and identify:
- Title and subtitle
- Section headings (H2/H3) → natural slide boundaries
- Key arguments / data points / quotes per section
- Narrative arc: setup → development → climax → conclusion
2. Ask User Preferences
Prompt for (defaults in parentheses):
- Slide count (auto: 8–15 based on content length, ~1 slide per 150–300 words)
- Audience (general)
- Tone (professional)
- Language (same as source)
If user declines to specify, use defaults and proceed.
3. Assign Slide Types and Layouts
Available slide_type values:
| Type | Purpose | Typical layout |
|---|
cover | Opening slide | full_bg |
toc | Table of contents (optional, 12+ slides) | center_text |
section | Chapter divider | center_text |
content | Core information | left_img_right_text or top_img_bottom_text |
quote | Key quote or statistic | full_bg |
data | Chart / number-driven | two_column |
summary | Closing recap | center_text or left_img_right_text |
end | Thank-you / Q&A / CTA | full_bg |
Available layout values:
full_bg, left_img_right_text, top_img_bottom_text, center_text, two_column
4. Write the Image Prompt for Each Slide
For each slide, write an image_prompt (English, regardless of content language) that:
- Describes a concrete scene, not an abstract concept
- Includes a style keyword consistent across all slides (e.g. "flat vector illustration, soft pastel palette")
- Specifies composition hints matching the layout (e.g. "wide shot, negative space on the right" for
left_img_right_text)
- Cover and end slides get more dramatic / visually impactful prompts
5. Draft Speaker Notes
speaker_notes column: 1–3 sentences of what the presenter would say. Leave empty if not requested.
6. Output the CSV
Write the storyboard to storyboard.csv using execute_code:
import csv
rows = [
]
header = ["slide_no", "slide_type", "title", "bullet_points", "image_prompt", "speaker_notes", "layout"]
with open("storyboard.csv", "w", newline="", encoding="utf-8") as f:
writer = csv.writer(f)
writer.writerow(header)
writer.writerows(rows)
Column spec:
| Column | Type | Description |
|---|
slide_no | int | 1-indexed |
slide_type | str | One of the types above |
title | str | Slide headline, ≤ 10 words |
bullet_points | str | Newline-separated (\n). Each ≤ 20 chars. Max 5 items |
image_prompt | str | English prompt for image generation |
speaker_notes | str | Optional presenter notes |
layout | str | One of the layouts above |
7. Present for Review
Display the storyboard as a markdown table for the user to review.
Wait for confirmation before the next pipeline step.
If changes requested, update storyboard.csv and re-display.
Pacing Guidelines
- Opening (slides 1–2): Hook — cover + bold opening statement or question
- Body (slides 3 to N-2): One idea per slide. Alternate
content and quote/data to vary rhythm
- Closing (slides N-1 to N): Summary of key takeaways + end slide
- Avoid consecutive slides of the same type. Insert a
section divider between major parts.
Text Density Rules
- Title: imperative or question form, ≤ 10 words
- Bullets: ≤ 5 per slide, each ≤ 20 characters (CJK) / ≤ 12 words (Latin)
- Prefer fragments over full sentences
- Numbers stand alone: "3x faster" not "It is three times faster"
