AI Image Prompts Skill
LeoYeAI/openclaw-master-skills
Recommend curated prompts from a 10,000+ real-world image generation prompt library.
Adapt and convert AI prompts between different models and platforms.
Install Prompt Adapt
$ npx skills add AgriciDaniel/claude-prompts --skill prompt-adapt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install AgriciDaniel/claude-prompts prompt-adapt --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-prompts.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prompt-adapt .claude/skills/prompt-adapt && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "prompt-adapt" agent skill from https://github.com/AgriciDaniel/claude-prompts/tree/main/skills/prompt-adapt into .claude/skills/prompt-adapt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-adapt", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/AgriciDaniel/claude-prompts/tree/main/skills/prompt-adaptType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add AgriciDaniel/claude-prompts --skill prompt-adapt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install AgriciDaniel/claude-prompts prompt-adapt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-prompts.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/prompt-adapt .agents/skills/prompt-adapt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "prompt-adapt" agent skill from https://github.com/AgriciDaniel/claude-prompts/tree/main/skills/prompt-adapt into .agents/skills/prompt-adapt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-adapt", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AgriciDaniel/claude-prompts --skill prompt-adapt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install AgriciDaniel/claude-prompts prompt-adapt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-prompts.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/prompt-adapt .cursor/skills/prompt-adapt && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "prompt-adapt" agent skill from https://github.com/AgriciDaniel/claude-prompts/tree/main/skills/prompt-adapt into .cursor/skills/prompt-adapt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-adapt", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/AgriciDaniel/claude-prompts.git --path skills/prompt-adapt--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add AgriciDaniel/claude-prompts --skill prompt-adapt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install AgriciDaniel/claude-prompts prompt-adapt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-prompts.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/prompt-adapt .gemini/skills/prompt-adapt && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "prompt-adapt" agent skill from https://github.com/AgriciDaniel/claude-prompts/tree/main/skills/prompt-adapt into .gemini/skills/prompt-adapt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-adapt", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install AgriciDaniel/claude-prompts prompt-adaptInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add AgriciDaniel/claude-prompts --skill prompt-adapt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-prompts.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/prompt-adapt .github/skills/prompt-adapt && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "prompt-adapt" agent skill from https://github.com/AgriciDaniel/claude-prompts/tree/main/skills/prompt-adapt into .github/skills/prompt-adapt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-adapt", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add AgriciDaniel/claude-prompts --skill prompt-adapt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install AgriciDaniel/claude-prompts prompt-adapt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-prompts.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/prompt-adapt .opencode/skills/prompt-adapt && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "prompt-adapt" agent skill from https://github.com/AgriciDaniel/claude-prompts/tree/main/skills/prompt-adapt into .opencode/skills/prompt-adapt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "prompt-adapt", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
prompt-adapt- GitHub stars
- 111
- Token cost
- ~793 tokens
- SKILL.md length
- 331 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- MIT
At a glance
Adapt and convert AI prompts between different models and platforms.
- Works in 5 steps: Identify Source and Target → Analyze Source Prompt → Apply Model Translation Rules → …
- User says adapt prompt
- SKILL.md covers Adaptation Workflow and Common Pitfalls
- Calls python3
What it does
Prompt Adapt is an agent skill from AgriciDaniel/claude-prompts. 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 "adapt prompt", "convert prompt", "translate prompt", "port to flux", "midjourney to dall-e", or "change model".
Its SKILL.md is about 790 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering Diffusion and image models, AI video generation and Translation. It works with Midjourney, OpenAI and Stable Diffusion. The repository describes itself as: AI prompt database and builder skill for Claude Code. 2,500+ curated prompts across 19 categories and 17 AI models. The licence is MIT.
When your agent uses it
- User says adapt prompt
- Translate prompt
- Midjourney to dall-e
Example prompts
- “adapt prompt”
- “convert prompt”
- “translate prompt”
- “/prompt-adapt”
Requirements
- Python 3
Workflow steps
5 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 23e8ff9. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Prompt Adapt loads about 793 tokens when it runs. Until then it costs about 105 tokens; SKILL.md has 331 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from AgriciDaniel/claude-prompts at commit 23e8ff9, republished under its MIT licence (© AgriciDaniel). 331 words, ~793 tokens.
Download SKILL.mdSave it as
.claude/skills/prompt-adapt/SKILL.md (or your agent's skills folder).- name
- prompt-adapt
- description
- 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 "adapt prompt", "convert prompt", "translate prompt", "port to flux", "midjourney to dall-e", or "change model".
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,--chaosparameters - 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
--arfor aspect ratio - Add
--v 6.1or appropriate version - Condense long descriptions into key phrases
- Add style parameters (
--style rawfor 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 3Use 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.,
--nijiis Midjourney-only)
© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/prompt-adapt of AgriciDaniel/claude-prompts.
Open the folder on GitHubat commit 23e8ff9
Compare with similar skills
Prompt Adapt next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Prompt Adapt this skillAgriciDaniel/claude-prompts | 111 | — | ~793 | Automated safety check: Pass | MIT | |
| AI Image Prompts SkillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| ImageNexus-JPF/note-companion | 870 | 3 repos | ~3.9k | Automated safety check: Pass | MIT | |
| Glmv Prompt Genzai-org/GLM-skills | 476 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Nano Banana Pro Prompts Recommend SkillYouMind-OpenLab/nano-banana-pro-prompts-recommend-skill | 1.9k | 1 repos | ~4.1k | Automated safety check: Pass | None | |
| AI Media GeneratorHao0321/ai-media-generator | 258 | — | ~5.6k | Automated safety check: Pass | MIT |
Similar skills
Image
Nexus-JPF/note-companion
When the user wants to create, generate, edit, or optimize images for marketing — blog heroes, social graphics, product mockups, profile banners, listing visuals, or brand assets.
Glmv Prompt Gen
zai-org/GLM-skills
Analyze images/videos and generate professional prompts for text-to-image and text-to-video AI tools (Midjourney, Stable Diffusion, DALL-E, Sora, Runway, Kling, Pika).
Nano Banana Pro Prompts Recommend Skill
YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill
Recommend suitable prompts from 10,000+ Nano Banana Pro image generation prompts based on user needs.
AI Media Generator
Hao0321/ai-media-generator
為使用者產生高品質的 AI 生圖、生影片、生音樂提示詞，並在需要時透過瀏覽器自動化實際送到目標平台。涵蓋 OiiOii、Kling 3.0/O-series、Seedance 2.0/2.5、Suno v5.5、Seedream 5.0/4.0、Vidu Q3、Midjourney V8.1、Flux 1.1 Pro / Kontext、Runway Gen-4.5 /…
AI Image Generation
aiskillstore/marketplace
Generate AI images with FLUX, Gemini, Grok, Seedream, Reve and 50+ models via inference.sh CLI.
More from AgriciDaniel/claude-prompts
Prompt Build
AgriciDaniel/claude-prompts
Build custom AI prompts from scratch using guided workflows and patterns from a 2,500+ prompt database.
Prompt Engine
AgriciDaniel/claude-prompts
Ultimate AI prompt database and builder with 2,500+ curated prompts across 19 categories and 17 AI models (Midjourney, Flux, Leonardo AI, DALL-E, Sora, Imagen, Mystic, Stable Diffusion, Ideogram…
Prompt Enhance
AgriciDaniel/claude-prompts
Enhance and improve existing AI prompts using professional techniques from a 2,500+ prompt database.
Prompt Library
AgriciDaniel/claude-prompts
Browse, filter, and explore a curated library of 2,500+ AI prompts organized by 19 categories, 17 models, and 4 output types.
Related
Works with
Questions about Prompt Adapt
What does Prompt Adapt do?
Adapt and convert AI prompts between different models and platforms. Prompt Adapt is an agent skill from AgriciDaniel/claude-prompts. Adapt and convert AI prompts between different models and platforms.
When should I use Prompt Adapt?
Prompt Adapt fits situations like: user says adapt prompt; translate prompt; midjourney to dall-e.
How do I install Prompt Adapt in Claude Code?
Run `npx skills add AgriciDaniel/claude-prompts --skill prompt-adapt -a claude-code`. Or copy the skill folder (skills/prompt-adapt in AgriciDaniel/claude-prompts) into .claude/skills/prompt-adapt in your project. Claude Code loads it when a task matches its description.
How do I install Prompt Adapt in Codex?
Run `npx skills add AgriciDaniel/claude-prompts --skill prompt-adapt -a codex`. Or copy the skill folder (skills/prompt-adapt in AgriciDaniel/claude-prompts) into .agents/skills/prompt-adapt in your project. Codex loads it when a task matches its description.
Can I use Prompt Adapt in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/claude-prompts --skill prompt-adapt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-adapt, .gemini/skills/prompt-adapt, .github/skills/prompt-adapt and .opencode/skills/prompt-adapt in your project.
What does Prompt Adapt need to run?
Going by SKILL.md and its folder, Prompt Adapt needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Prompt Adapt access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Prompt Adapt safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Prompt Adapt use?
Prompt Adapt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Prompt Adapt use?
About 793 tokens (SKILL.md is roughly 3.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Prompt Adapt?
Skills that share tags, products or a category with Prompt Adapt: AI Image Prompts Skill (LeoYeAI/openclaw-master-skills, 2.2k stars), Image (Nexus-JPF/note-companion, 870 stars), Glmv Prompt Gen (zai-org/GLM-skills, 476 stars) and Nano Banana Pro Prompts Recommend Skill (YouMind-OpenLab/nano-banana-pro-prompts-recommend-skill, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Prompt Adapt?
AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/claude-prompts, which has 111 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on April 10, 2026.
Source: AgriciDaniel/claude-prompts on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.