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Markdown To Storyboard

CommunityPopular
dp-archive
markdown-to-storyboard

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".

Overview

Publisherdp-archive
Repositoryarchive
Skill namemarkdown-to-storyboard
Stars
1.1K
Forks
100
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by dp-archive on GitHub. Read the source before you install it.

Installation

Install the Markdown To Storyboard AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dp-archive/archive/tree/main/seed_skills/markdown-to-storyboard
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dp-archive/archive.git /tmp/archive
mkdir -p .claude/skills
cp -r /tmp/archive/seed_skills/markdown-to-storyboard .claude/skills/markdown-to-storyboard
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Markdown To Storyboard in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Markdown To Storyboard on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Markdown To Storyboard is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

TypePurposeTypical layout
coverOpening slidefull_bg
tocTable of contents (optional, 12+ slides)center_text
sectionChapter dividercenter_text
contentCore informationleft_img_right_text or top_img_bottom_text
quoteKey quote or statisticfull_bg
dataChart / number-driventwo_column
summaryClosing recapcenter_text or left_img_right_text
endThank-you / Q&A / CTAfull_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:

python
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:

ColumnTypeDescription
slide_noint1-indexed
slide_typestrOne of the types above
titlestrSlide headline, ≤ 10 words
bullet_pointsstrNewline-separated (\n). Each ≤ 20 chars. Max 5 items
image_promptstrEnglish prompt for image generation
speaker_notesstrOptional presenter notes
layoutstrOne 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"

Frequently asked questions

What does the Markdown To Storyboard AI skill do?

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".

Why use Markdown To Storyboard on TypingMind?

Because you install it once and use it with any model. Markdown To Storyboard is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Markdown To Storyboard in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dp-archive/archive/tree/main/seed_skills/markdown-to-storyboard. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Markdown To Storyboard?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Markdown To Storyboard?

As many as you like. As long as a model supports skills, you can use Markdown To Storyboard with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Markdown To Storyboard AI skill free?

Yes. It is published on GitHub by dp-archive under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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