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storyboard-prompting
Generate detailed image prompts for storyboard frames optimized for Midjourney, DALL-E, and Stable Diffusion
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Generate detailed image prompts for storyboard frames optimized for Midjourney, DALL-E, and Stable Diffusion
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Reference for querying the Atlas knowledge graph through its MCP tools — the SECONDARY enrichment/comparison layer that adds best-practice context to systems you have ALREADY scanned from your real sources (`az`, repos, dirs). Use when you need to look up nodes, edges, kinds, clusters, stats, or wiki pages in Atlas to compare against your real inventory. (atlas graph, query atlas, atlas mcp, search the graph, graph neighbors, atlas record, atlas kinds, enrichment layer)
Atlas turns your STATED NEED into a real systems atlas by SCANNING your actual sources (Azure via `az`, git repos, local dirs) and process/data mining them, THEN enriching against the Atlas knowledge graph. Use this skill when asked to inventory/map your real systems, scan your cloud + repos + directories, mine the real processes or data they contain, or collect their real constraints/gotchas. (atlas, scan my systems, inventory our azure account, map my repos, real systems atlas, process mining, data mining, collect nuances, system discovery)
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Zero-knowledge circuit development using Circom and Noir languages. Supports constraint optimization, ZK-friendly cryptographic primitives, proof generation (Groth16, PLONK), and Merkle tree implementations.
| name | storyboard-prompting |
| id | SK-FTV-005 |
| version | 1.0.0 |
| description | Generate detailed image prompts for storyboard frames optimized for Midjourney, DALL-E, and Stable Diffusion |
| specialization | film-tv-production |
| graph | {"domains":["domain:arts-culture"],"skillAreas":["skill-area:visual-design","skill-area:prompt-engineering","skill-area:image-processing"],"roles":["role:creative-director","role:design-lead"]} |
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.
[SUBJECT] + [COMPOSITION] + [LIGHTING] + [MOOD/ATMOSPHERE] + [STYLE] + [TECHNICAL]
| 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" |
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], [style reference],
cinematic still, film photography --ar 16:9 --s 150
DALL-E 3 optimization:
- Natural language descriptions work well
- Be specific about what you want
- Include negative instructions when needed
- Reference artistic styles by description, not artist name
Structure:
A cinematic film still of [subject], [composition description].
The scene has [lighting description] creating a [mood] atmosphere.
Shot on [camera/lens], [style description].
Positive prompt:
(cinematic:1.3), (film still:1.2), [subject], [composition], [lighting],
[mood], [style], detailed, high quality, 8k
Negative prompt:
cartoon, anime, illustration, drawing, painting, blurry, low quality,
watermark, text, deformed, ugly, bad anatomy
Settings:
- CFG Scale: 7-12
- Steps: 30-50
- Sampler: DPM++ 2M Karras or Euler a
vast landscape with tiny silhouetted figure, establishing shot,
epic scale, environmental storytelling, cinematic composition,
golden hour lighting, anamorphic lens flare --ar 2.39:1
full body shot of [character] standing in [environment],
environmental context visible, subject in lower third,
motivated practical lighting, cinematic atmosphere --ar 16:9
medium shot of [character] from waist up, [action/pose],
[background environment], shallow depth of field,
three-point lighting setup, film grain --ar 16:9
close-up portrait of [character], [expression],
face fills frame, soft key light, dramatic shadows,
intimate composition, emotional intensity, 85mm lens --ar 16:9
extreme close-up of [detail/feature], macro detail,
selective focus, dramatic lighting, texture emphasis,
cinematic tension, tight framing --ar 16:9
golden hour sunlight, warm tones, long shadows,
natural window light, overcast diffusion,
magic hour, practical sun
three-point lighting, rim light, motivated light,
practical lamps, neon glow, fluorescent overhead,
spotlight, volumetric light
chiaroscuro, high contrast, low key, high key,
silhouette, backlit, lens flare, god rays,
atmospheric haze, dusty light beams
rule of thirds, centered composition, symmetrical frame,
off-center subject, negative space, frame within frame,
leading lines, diagonal composition, Dutch angle
foreground elements, layered composition, deep focus,
shallow depth of field, background blur bokeh,
environmental depth, atmospheric perspective
## Frame [ID]: [Beat Description]
### Scene Context
- **Scene:** [Number and title]
- **Shot:** [Size and angle]
- **Action:** [What's happening]
### Visual Specifications
- **Composition:** [Framing details]
- **Lighting:** [Light sources and mood]
- **Characters:** [Who's in frame, expressions]
- **Environment:** [Setting details]
### Image Prompts
**Midjourney:**
[Full prompt with parameters]
**DALL-E:**
[Natural language prompt]
**Stable Diffusion:**
Positive: [prompt] Negative: [negative prompt]
### Frame Notes
- **Dialogue:** "[Any dialogue]"
- **Duration:** [Estimated seconds]
- **Movement:** [Camera or subject movement]
high contrast black and white, dramatic shadows,
venetian blind shadows, rain-slicked streets,
cigarette smoke, fedoras, low-key lighting
neon lights, holographic displays, lens flares,
futuristic architecture, chrome surfaces,
volumetric lighting, blue and orange color grade
underexposed, deep shadows, obscured faces,
practical effects, desaturated colors, fog,
dutch angles, motivated darkness
soft focus, warm lighting, golden hour,
lens flare, shallow depth of field,
intimate framing, natural expressions