Prompt Adapter

prompt-adapt

Adapt and convert AI prompts between different models and platforms. Translates between Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Stable Diffusion, Adobe Firefly, Ideogram, and more. Handles syntax differences, parameter mapping, and model-specific optimizations. Use when user says "ad...

gabrielmoreira/agent-skills-mirror·0installs19stars

SKILL.md

Full skill instructions

Prompt Adapter

Convert prompts between AI models while preserving intent and maximizing output quality.

Adaptation Workflow

Step 1: Identify Source and Target

Determine:

Source model: What model was this prompt written for?
Target model: What model should it run on?
Priority: Preserve style fidelity or optimize for target strengths?

Step 2: Analyze Source Prompt

Break down the prompt into components:

Core subject/action
Style modifiers
Technical parameters (model-specific)
Negative prompts (if any)
Aspect ratio / dimensions

Step 3: Apply Model Translation Rules

Load {PROMPT_ENGINE_DIR}/references/model-guide.md for detailed rules. Key translations:

Midjourney -> Flux:

Remove --ar, --v, --style, --s, --chaos parameters
Expand shorthand into natural language descriptions
Flux prefers longer, more descriptive prompts
Remove :: weight syntax, integrate naturally

Midjourney -> DALL-E:

Remove all -- parameters
Rewrite as clear, direct descriptions
DALL-E prefers straightforward language over artistic jargon
Remove negative prompts (DALL-E doesn't support them well)

Flux -> Midjourney:

Add --ar for aspect ratio
Add --v 6.1 or appropriate version
Condense long descriptions into key phrases
Add style parameters (--style raw for photorealistic)

Any -> Sora (Video):

Add camera movement descriptions (pan, zoom, tracking, etc.)
Add temporal flow ("the scene transitions from... to...")
Specify duration if possible
Focus on motion and action over static details

Any -> Leonardo AI:

Reference specific Leonardo models (Phoenix, Alchemy, etc.)
Use Leonardo-specific quality tokens
Adapt negative prompts to Leonardo format

Step 4: Search for Target Model Examples

Find reference prompts in the target model:

python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "SUBJECT" --model TARGET_MODEL --limit 3

Use these as style references for the adaptation.

Step 5: Present Adaptation

Output format:

Original prompt (source model labeled)
Adapted prompt (target model labeled)
Translation notes (what changed and why)
Parameter mapping (source params -> target params)
Confidence level (High/Medium/Low -- based on model compatibility)

Common Pitfalls

Midjourney weight syntax (::2) has no direct equivalent in most models
DALL-E ignores most style parameters -- weave them into descriptions
Sora needs temporal language that image models don't use
Aspect ratios must be specified differently per platform
Some styles only work well on specific models (e.g., --niji is Midjourney-only)

Install skill

Copy and run in your terminal

npx -y skills add https://github.com/gabrielmoreira/agent-skills-mirror --skill prompt-adapt

View on GitHub

mirrors/repos/AgriciDaniel@claude-prompts/skills/prompt-adapt/SKILL.md

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