Archive markdown-to-storyboard

install

source · Clone the upstream repo

git clone https://github.com/dp-archive/archive

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/dp-archive/archive "$T" && mkdir -p ~/.claude/skills && cp -r "$T/seed_skills/markdown-to-storyboard" ~/.claude/skills/dp-archive-archive-markdown-to-storyboard && rm -rf "$T"

manifest: seed_skills/markdown-to-storyboard/SKILL.md

source content

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 = [
    # [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
`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"