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01 · Category

What the MCP returns at this step

02 · Image & Video · Visual Prompting

Visual Prompt Model Adaptation

Adapt a visual brief to model-specific syntax while flagging unknown capabilities.

modelladaptionmodel-adaptation

Cross-Model Visual Prompt Adapter · Original SKILL.md

---
name: model-adaptation
description: "Translate universal cinematic image/video briefs into model-specific prompt formats, settings, constraints, and export packages for image and video models including Grok/Aurora, Gemini/Nano Banana, GPT-image, Le Chat/FLUX, Kling, Seedance, Veo, Sora, Runway, Pika, Luma, Midjourney, Stable Diffusion, Ideogram, Hailuo, and unknown tools."
---

# model-adaptation

## When to use
- The user names a specific image or video model/tool.
- The user asks to convert a prompt from one model to another.
- The user asks why a prompt works in one model but fails in another.
- The user wants best settings, a model-agnostic package, or exports for multiple tools.
- The prompt uses model-dependent features: negative prompts, reference images, seeds, duration, aspect ratio, resolution, camera control, audio, or text rendering.

## When not to use
- The user only wants story ideation with no target tool.
- The user asks for unsafe policy bypasses.
- The user wants live, up-to-date official specs and source verification; in that case browse or check current docs before asserting changed capabilities.

## Required inputs
- Universal prompt brief or existing prompt
- Target model(s)
- Modality: image, T2V, I2V, editing, extension, upscaling, etc.
- Desired aspect ratio/duration/resolution if relevant

## Optional inputs
- Reference assets and their roles
- Negative constraints
- Seed/settings
- Known failure from previous output
- Current docs supplied by user

## Workflow
1. Parse the universal brief into creative intent, cinematic execution, and model-dependent controls.
2. Look up the relevant model profile and capability matrix. If a capability is not in the references, mark it unknown rather than guessing.
3. Choose prompt structure: natural prose, slot template, time-blocked prompt, shot list, or parameterized export.
4. Translate negatives correctly: separate field where supported, positive restatement where unsupported, capped constraints for video.
5. Map reference assets to supported syntax and roles. If unsupported, describe a workaround or mark unknown.
6. Map settings: aspect ratio, duration, resolution, seed/reference controls, audio, and text/logo constraints.
7. Produce a translation report noting preserved intent, changed syntax, unsupported fields, unknowns, and likely failure modes.
8. For multi-model exports, keep one universal brief plus per-model prompts/settings.

## Decision logic
- If the target model is absent from profiles, create a conservative generic export and mark all capabilities unknown.
- If the prompt depends on text/logos, route to models with stronger documented text support or simplify text.
- If video motion is overloaded, simplify before model export.
- If a source guide conflicts with another, prefer model-specific guide for that model and record confidence.

## Output formats
- Model-specific prompt export
- Model comparison table
- Prompt translation report
- Multi-model export package
- Unknown capability log
- Failure-mode warning

## Quality checks
- No unsupported capability is invented.
- The adapted prompt preserves creative intent while changing syntax for the model.
- Settings are separated from prompt text where the target supports parameters.
- Reference and negative-prompt behavior is explicit.
- The export is ready to paste or hand to an API/tool.

## Anti-patterns
- Using one universal prompt format for all models
- Assuming negative prompts work everywhere
- Guessing current model specs from memory
- Mixing source-image preservation with redescribing the whole image for I2V
- Providing safety or filter bypass instructions.

## Exit criteria
- The user has model-specific prompt(s), settings, unknowns, and a translation rationale.

## Supporting files
Read only the supporting file needed for the active task:
- `references/model_capability_matrix.md`
- `references/image_model_profiles.md`
- `references/video_model_profiles.md`
- `references/prompt_translation_rules.md`
- `references/parameter_compatibility.md`
- `references/failure_modes_by_model.md`
- `references/model_update_protocol.md`

When to use

Adapt a visual brief to model-specific syntax while flagging unknown capabilities.

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

Universal brief, target model, modality, references and current model specifications.

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/model_capability_matrix.md, references/image_model_profiles.md, references/video_model_profiles.md, references/prompt_translation_rules.md, references/parameter_compatibility.md, references/failure_modes_by_model.md, references/model_update_protocol.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 Visual Prompt Model Adaptation for [TASK]. Ask for missing inputs: Universal brief, target model, modality, references and current model specifications. 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/model_capability_matrix.md, references/image_model_profiles.md, references/video_model_profiles.md, references/prompt_translation_rules.md, references/parameter_compatibility.md, references/failure_modes_by_model.md, references/model_update_protocol.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: 98fba9bef326e49262797024137e34d7365cf44bbb47ff779035772945c2a228
Snapshot checked: 2026-09-28T15:16:05.544Z

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