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What the MCP returns at this step

05 · Image & Video · Image Prompting

Cinematic Image Prompts

Write cinematic still-image prompts with composition, lighting and identity anchors.

bildpromptcinematic-image-prompting

Cinematic Image Prompting · Original SKILL.md

---
name: cinematic-image-prompting
description: "Generate cinematic image prompts for characters, locations, props, costumes, keyframes, posters, concept art, reference sheets, and scene stills using creative intent plus camera, lighting, texture, and continuity anchors."
---

# cinematic-image-prompting

## When to use
- The user wants still image prompts, character sheets, location references, prop/costume concepts, keyframes, posters, thumbnails, concept art, or scene stills.
- The user needs image prompts before video generation to lock identity, composition, or style.
- The task requires photorealism, cinematic language, texture, camera/lens terms, or negative/positive constraints.

## When not to use
- The user asks for moving video prompts only.
- The user asks to adapt a finished prompt to a named model only.
- The user wants actual image generation rather than prompt writing, unless paired with image generation tools.

## Required inputs
- Subject or asset type
- Purpose of image
- Creative intent
- Continuity anchors
- Style/genre/tone

## Optional inputs
- Target model
- Aspect ratio
- Reference images
- Text/logo needs
- Photorealism level
- Negative constraints

## Workflow
1. Start with creative intent: who/what, why this image exists, emotional read, and audience impression.
2. Build cinematic execution: subject specificity, action/pose, environment, framing, lens feel, lighting direction/quality, color, texture, and realism level.
3. Add continuity anchors from the bible: face, wardrobe, prop state, location geography, palette, and design rules.
4. Select format: natural prose, priority stack, shot card, or model-specific export through model-adaptation.
5. Handle exclusions according to model behavior: true negative field where supported, positive restatement where not.
6. Create variants only by changing one meaningful variable at a time.
7. Add quality checklist and revision hooks.

## Decision logic
- If character consistency matters, create a clean reference sheet before dramatic scene stills.
- If the image contains text, route to model-adaptation and choose a model/profile that supports text better.
- If the style is too broad, ask for or infer one strong visual anchor plus specific execution details.
- If the target model is unknown, output a universal prompt brief and flag model-dependent fields.

## Output formats
- Universal image prompt brief
- Cinematic still prompt
- Character/location/prop reference prompt
- Negative or positive constraint block
- Prompt variants
- Model-adaptation handoff

## Quality checks
- Prompt has a clear subject, action/pose, environment, composition, lighting, style, texture, and output purpose.
- The first sentence front-loads the most important identity and scene elements.
- No contradictory style or lighting instructions.
- Continuity anchors are explicit and not overlong.
- Model-specific claims are not guessed.

## Anti-patterns
- Keyword soup for natural-language models
- Overloaded prompts with many competing references
- Negative prompts in models that lack negative support
- Vague words like epic or cinematic without camera/lighting specifics
- Using copyrighted or trademarked specifics when a generic visual description is safer.

## Exit criteria
- The prompt is ready for universal use or handoff to model-adaptation for a named image model.

## Supporting files
Read only the supporting file needed for the active task:
- `references/image_prompt_components.md`
- `references/lighting_and_photorealism.md`
- `references/prompt_anatomy.md`
- `references/negative_prompt_patterns.md`
- `templates/cinematic_still_prompt.md`
- `templates/character_reference_sheet_prompt.md`

When to use

Write cinematic still-image prompts with composition, lighting and identity anchors.

What you get

The complete original workflow, with source attribution and the limitations below.

How it works

Confirm the task, check actual dependencies, then apply the relevant original instructions within authorized scope.

Requirements

Subject, purpose, visual style, continuity anchors and target model if known.

Delivery and review notes

Published after an obvious-danger screen under the user-requested policy, not a functional test. Supporting files required conditionally by the original are not supplied: references/image_prompt_components.md, references/lighting_and_photorealism.md, references/prompt_anatomy.md, references/negative_prompt_patterns.md, templates/cinematic_still_prompt.md, templates/character_reference_sheet_prompt.md. Related model-adaptation/continuity handoffs must be available for the actual task; loading this source does not load them. No media generation, model-capability verification or code execution was performed. Treat named-model parameters as unknown until checked and use authorized references/assets.

Starting prompt

Use Cinematic Image Prompts for [TASK]. Ask for missing inputs: Subject, purpose, visual style, continuity anchors and target model if known. Check the declared dependencies and limitations before execution. Return the original output structure with known facts, assumptions and unresolved requirements separated.

Not for

Claiming that unavailable source dependencies are bundled or that generated outputs, integrations or model behavior have been tested. Actual media generation without a separately available authorized tool.

What M11 added

M11 added German routing, task inputs and explicit source-package limitations; the original author remains separate from M11 curation. Published after an obvious-danger screen under the user-requested policy, not a functional test. Supporting files required conditionally by the original are not supplied: references/image_prompt_components.md, references/lighting_and_photorealism.md, references/prompt_anatomy.md, references/negative_prompt_patterns.md, templates/cinematic_still_prompt.md, templates/character_reference_sheet_prompt.md. Related model-adaptation/continuity handoffs must be available for the actual task; loading this source does not load them. No media generation, model-capability verification or code execution was performed. Treat named-model parameters as unknown until checked and use authorized references/assets.

Original authorship remains with 0xhughs/director-skills · Original source ↗

Original license & copyright

MIT License

Copyright (c) 2026 0xhughs

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Source SHA-256: 41e9c8bf3cecf2c929c3169f41aaeec6195a4fc50ce4d669dac025a7db400fde
Snapshot checked: 2026-09-28T15:16:05.544Z

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