storyboard-prompting
Generate detailed image prompts for storyboard frames optimized for Midjourney, DALL-E, and Stable Diffusion
npx skills add a5c-ai/babysitter --skill storyboard-prompting --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Storyboard Prompting Skill ## Purpose Create detailed, production-ready image generation prompts for storyboard frames. These prompts should produce consistent, cinematic images that communicate composition, lighting, mood, and action for pre-visualization. ## Prompt Architecture ### Core Structure ``` [SUBJECT] + [COMPOSITION] + [LIGHTING] + [MOOD/ATMOSPHERE] + [STYLE] + [TECHNICAL] ``` ### Component Breakdown | Component | Description | Examples | |-----------|-------------|----------| | Subject | Who/what is in frame | "detective in trench coat" | | Composition | Framing and arrangement | "medium close-up, rule of thirds" | | Lighting | Light sources and quality | "rim lighting, high contrast" | | Mood | Emotional atmosphere | "tense, ominous" | | Style | Visual reference | "noir, cinematic" | | Technical | Camera/image specs | "35mm, shallow DOF" | ## Platform-Specific Optimization ### Midjourney ``` Midjourney v6 parameters: --ar [aspect ratio] (16:9, 2.39:1, 4:3) --s [stylize] (0-1000, default 100) --c [chaos] (0-100, for variation) --q [quality] (0.25, 0.5, 1, 2) --style raw (less Midjourney aesthetic) Structure: [Subject and action], [composition], [lighting], [mood], [st
- Purpose
- Prompt Architecture
- Core Structure
- Component Breakdown
- Platform-Specific Optimization
- Midjourney
- DALL-E
- Stable Diffusion
- Shot Type Prompts
- Extreme Wide Shot (EWS)
- Wide Shot (WS)
- Medium Shot (MS)
- Close-Up (CU)
- Extreme Close-Up (ECU)
What does the storyboard-prompting skill do?
Generate detailed image prompts for storyboard frames optimized for Midjourney, DALL-E, and Stable Diffusion
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill storyboard-prompting --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.