markdown-to-storyboard
Original:🇺🇸 English
Translated
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".
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NPX Install
npx skill4agent add moosegoose0701/skill-compose markdown-to-storyboardTags
Translated version includes tags in frontmatterSKILL.md Content
View Translation Comparison →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 values:
slide_type| Type | Purpose | Typical layout |
|---|---|---|
| Opening slide | |
| Table of contents (optional, 12+ slides) | |
| Chapter divider | |
| Core information | |
| Key quote or statistic | |
| Chart / number-driven | |
| Closing recap | |
| Thank-you / Q&A / CTA | |
Available values:
, , , ,
layoutfull_bgleft_img_right_texttop_img_bottom_textcenter_texttwo_column4. Write the Image Prompt for Each Slide
For each slide, write an (English, regardless of content language) that:
image_prompt- 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_notes6. Output the CSV
Write the storyboard to using :
storyboard.csvexecute_codepython
import csv
rows = [
# [slide_no, slide_type, title, bullet_points, image_prompt, speaker_notes, layout]
]
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 |
|---|---|---|
| int | 1-indexed |
| str | One of the types above |
| str | Slide headline, ≤ 10 words |
| str | Newline-separated ( |
| str | English prompt for image generation |
| str | Optional presenter notes |
| 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 and re-display.
storyboard.csvPacing Guidelines
- Opening (slides 1–2): Hook — cover + bold opening statement or question
- Body (slides 3 to N-2): One idea per slide. Alternate and
content/quoteto vary rhythmdata - Closing (slides N-1 to N): Summary of key takeaways + end slide
- Avoid consecutive slides of the same type. Insert a divider between major parts.
section
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"