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…
AI Image (Gemini/DALL-E/Midjourney) Prompt Writing Guide. An agent skill from revfactory/harness-100.
Install Image Prompt Engineering
$ npx skills add revfactory/harness-100 --skill image-prompt-engineering -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 image-prompt-engineering --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/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/15-visual-storytelling/.claude/skills/image-prompt-engineering .claude/skills/image-prompt-engineering && 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 "image-prompt-engineering" agent skill from https://github.com/revfactory/harness-100/tree/main/en/15-visual-storytelling/.claude/skills/image-prompt-engineering into .claude/skills/image-prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt-engineering", 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/revfactory/harness-100/tree/main/en/15-visual-storytelling/.claude/skills/image-prompt-engineeringType 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 revfactory/harness-100 --skill image-prompt-engineering -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 image-prompt-engineering --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/en/15-visual-storytelling/.claude/skills/image-prompt-engineering .agents/skills/image-prompt-engineering && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "image-prompt-engineering" agent skill from https://github.com/revfactory/harness-100/tree/main/en/15-visual-storytelling/.claude/skills/image-prompt-engineering into .agents/skills/image-prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt-engineering", 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 revfactory/harness-100 --skill image-prompt-engineering -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 image-prompt-engineering --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/en/15-visual-storytelling/.claude/skills/image-prompt-engineering .cursor/skills/image-prompt-engineering && 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 "image-prompt-engineering" agent skill from https://github.com/revfactory/harness-100/tree/main/en/15-visual-storytelling/.claude/skills/image-prompt-engineering into .cursor/skills/image-prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt-engineering", 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/revfactory/harness-100.git --path en/15-visual-storytelling/.claude/skills/image-prompt-engineering--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 revfactory/harness-100 --skill image-prompt-engineering -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 image-prompt-engineering --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/en/15-visual-storytelling/.claude/skills/image-prompt-engineering .gemini/skills/image-prompt-engineering && 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 "image-prompt-engineering" agent skill from https://github.com/revfactory/harness-100/tree/main/en/15-visual-storytelling/.claude/skills/image-prompt-engineering into .gemini/skills/image-prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt-engineering", 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 revfactory/harness-100 image-prompt-engineeringInstalls 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 revfactory/harness-100 --skill image-prompt-engineering -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/en/15-visual-storytelling/.claude/skills/image-prompt-engineering .github/skills/image-prompt-engineering && 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 "image-prompt-engineering" agent skill from https://github.com/revfactory/harness-100/tree/main/en/15-visual-storytelling/.claude/skills/image-prompt-engineering into .github/skills/image-prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt-engineering", 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 revfactory/harness-100 --skill image-prompt-engineering -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 image-prompt-engineering --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/en/15-visual-storytelling/.claude/skills/image-prompt-engineering .opencode/skills/image-prompt-engineering && 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 "image-prompt-engineering" agent skill from https://github.com/revfactory/harness-100/tree/main/en/15-visual-storytelling/.claude/skills/image-prompt-engineering into .opencode/skills/image-prompt-engineering/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "image-prompt-engineering", 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
image-prompt-engineering- GitHub stars
- 1.3k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 314 words
- Files
- 1
- Skills in repo
- 464
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
AI Image (Gemini/DALL-E/Midjourney) Prompt Writing Guide. An agent skill from revfactory/harness-100.
- Works in 4 steps: Prompt in Style → color palette : Color when → Emotion/ → …
- Tasks that involve Prompt engineering
- SKILL.md covers subject Agent, Prompt Structure Formula, Style Consistency technique and Prompt Pattern, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Image Prompt Engineering is an agent skill from revfactory/harness-100. AI Image (Gemini/DALL-E/Midjourney) Prompt Writing Guide. compositionper Prompt , Style before, Consistency technique, Prompt Pattern image-prompter Extended Skill. 'Image Prompt', 'AI Image Style', 'Prompt Writing', 'composition ', 'Style Consistency', ' Prompt' etc. AI Image Prompt Optimization when . , Image candidates of .
Its SKILL.md is about 1.2k 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 Prompt engineering and Image generation. It works with Midjourney and OpenAI. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Prompt engineering
- Tasks that involve Image generation
Example prompts
- “Image Prompt”
- “AI Image Style”
- “Prompt Writing”
- “/image-prompt-engineering”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Prompt in Style
- color palette : Color when
- Emotion/
- /ratio : before Image
What it can do on your machine
Read from SKILL.md and the folder at commit 8e8d35c. 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
No scripts in the folder and no shell commands in SKILL.md.
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
Image Prompt Engineering loads about 1.2k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 314 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 revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 314 words, ~1,201 tokens.
Download SKILL.mdSave it as
.claude/skills/image-prompt-engineering/SKILL.md (or your agent's skills folder).- name
- image-prompt-engineering
- description
- AI Image (Gemini/DALL-E/Midjourney) Prompt Writing Guide. compositionper Prompt , Style before, Consistency technique, Prompt Pattern image-prompter Extended Skill. 'Image Prompt', 'AI Image Style', 'Prompt Writing', 'composition ', 'Style Consistency', ' Prompt' etc. AI Image Prompt Optimization when . , Image candidates of .
Image Prompt Engineering — AI Image Prompt Writing Guide
Prompt structure, style keywords, and consistency technique references used by the image-prompter agent when generating AI images.
subject Agent
image-prompter — of Prompt Patternand Image in apply.
Prompt Structure Formula
5-Layer Prompt Structure
[1. media/Style] + [2. composition/] + [3. ] + [4. /background] + [5. /]Layer 1: media/Style
| and | ||
|---|---|---|
| photography | "editorial photography", "professional photo" | |
| illustration | "digital illustration", "vector art" | graphic |
| "watercolor painting", "soft watercolor" | ||
| "oil painting", "impressionist oil" | ||
| "minimalist flat design", "simple clean" | ||
| when | "cinematic still", "movie scene" | |
| "anime style", "Studio Ghibli inspired" | ||
| 3D | "3D render", "isometric 3D" |
Layer 2: composition/
| composition | ||
|---|---|---|
| and | "wide shot", "establishing shot" | , scale |
| "medium shot", "waist-up" | , vs | |
| to | "close-up", "macro detail" | Emotion, |
| "bird's eye view", "top-down" | total Structure, | |
| to | "low angle shot", "worm's eye" | , |
| "over-the-shoulder" | vs Scene | |
| vs | "symmetrical composition" | , Formality |
| "golden ratio composition" | when |
Layer 3:
- **specific > **: "woman" → "30-year-old Korean woman with short black hair"
- ** **: "standing" → "leaning against a wall, reading a book"
- ** when**: "smiling softly with closed eyes"
- **of **: "wearing a dark navy wool coat"
Layer 4: /background
| and | |
|---|---|
| "blurred background, bokeh" | |
| "detailed urban environment" | when context |
| "vast empty landscape" | / |
| "cozy indoor setting" | |
| "abstract gradient background" | , |
Layer 5: /
| and | Scene | |
|---|---|---|
| "golden hour light" | , | |
| "blue hour" | , | |
| "dramatic chiaroscuro" | , etc. | |
| "soft diffused light" | , daily life | |
| "neon glow" | when, SF | |
| "moonlight" | , | |
| "overcast, flat lighting" | lean | , daily life |
Style Consistency technique
when when Consistency core
- ** **: Prompt in Style
"Soft watercolor illustration style, muted pastel palette,
Noto Serif Korean typography feel, [Scene ]"- **color palette **: Color when
"Color palette: dusty rose (#D4A5A5), sage green (#9CAF88),
cream (#FFF8E7), charcoal (#36454F)"- ** **: Emotion/
"melancholic yet hopeful atmosphere, nostalgic feeling"- **/ratio **: before Image
"--ratio 16:9 --size 2K" ( application)Prompt Pattern
"NO text, NO watermark, NO signature, NO border, NO frame"photography
"NO distorted faces, NO extra fingers, NO deformed hands,
NO unnatural proportions, NO uncanny valley"background
"NO cluttered background, NO distracting elements,
NO busy patterns"Text
"Text MUST be in Korean: ' Text'"
(Text Image) "Absolutely NO text, NO letters, NO words, NO captions"Emotionper Prompt
| Emotion | Color | composition | ||
|---|---|---|---|---|
| **** | golden hour, warm | , , | to, and | "ascending", "opening" |
| **** | blue hour, dim | , | and, | "isolated figure", "vast space" |
| **** | harsh, chiaroscuro | , | to, | "sharp shadows", "contrast" |
| **** | soft diffused | , | and, vs | "serene", "still", "gentle" |
| **** | overcast, rain | , | , | "rain", "muted", "quiet" |
| **** | backlight, dramatic | , | to, and | "majestic", "awe-inspiring" |
| **** | candlelight, warm | , | to, | "cozy", "intimate", "soft" |
Scene typeper Prompt
in
"[Style] [whenbetweenvs] [] landscape. [/].
[before element]. [during element]. [ element].
[]. [ ]. NO text, NO people.""[Style] [composition] portrait of [ ].
[/]. [of]. [background].
[]. []. []."/
"[Style] [composition] [ ].
[placement/composition]. [background/].
[: soft diffused]. []. NO text."concept/
"[Style: illustration/abstract] visual metaphor for [concept].
[Visual element ]. [color palette].
[]. Clean composition, NO text."Image ratio Guide
| ratio | description | |
|---|---|---|
| 16:9 | , banner | |
| 3:2 | photography, | |
| 1:1 | SNS to, | |
| 4:5 | to between | |
| 9:16 | Story, , to banner | lean |
| 21:9 | when, to banner | traand |
© revfactory, Apache-2.0. 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 en/15-visual-storytelling/.claude/skills/image-prompt-engineering of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Compare with similar skills
Image Prompt Engineering 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 |
|---|---|---|---|---|---|---|
| Image Prompt Engineering this skillrevfactory/harness-100 | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Prompt EngineAgriciDaniel/claude-prompts | 110 | — | ~1.2k | Automated safety check: Pass | MIT | |
| AI Image Prompts SkillLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| Image Ad Clonekrusemediallc/arcads-claude-code | 1.6k | — | ~2.4k | Automated safety check: Notes | MIT | |
| AI Image Generation MasterFerroxLabs/wayland | 608 | — | ~4.1k | 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 |
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AI Image Generation Master
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Expert-level guide to AI image generation across Midjourney, DALL-E, and Stable Diffusion covering prompt engineering for visual output, style control, composition techniques, upscaling workflows…
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Related
Works with
Categories
Questions about Image Prompt Engineering
What does Image Prompt Engineering do?
AI Image (Gemini/DALL-E/Midjourney) Prompt Writing Guide. An agent skill from revfactory/harness-100. Image Prompt Engineering is an agent skill from revfactory/harness-100. AI Image (Gemini/DALL-E/Midjourney) Prompt Writing Guide.
When should I use Image Prompt Engineering?
Image Prompt Engineering fits situations like: tasks that involve Prompt engineering; tasks that involve Image generation.
How do I install Image Prompt Engineering in Claude Code?
Run `npx skills add revfactory/harness-100 --skill image-prompt-engineering -a claude-code`. Or copy the skill folder (en/15-visual-storytelling/.claude/skills/image-prompt-engineering in revfactory/harness-100) into .claude/skills/image-prompt-engineering in your project. Claude Code loads it when a task matches its description.
How do I install Image Prompt Engineering in Codex?
Run `npx skills add revfactory/harness-100 --skill image-prompt-engineering -a codex`. Or copy the skill folder (en/15-visual-storytelling/.claude/skills/image-prompt-engineering in revfactory/harness-100) into .agents/skills/image-prompt-engineering in your project. Codex loads it when a task matches its description.
Can I use Image Prompt Engineering 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 revfactory/harness-100 --skill image-prompt-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/image-prompt-engineering, .gemini/skills/image-prompt-engineering, .github/skills/image-prompt-engineering and .opencode/skills/image-prompt-engineering in your project.
What does Image Prompt Engineering need to run?
SKILL.md names no scripts, command-line tools or credentials: Image Prompt Engineering is instructions for the agent only.
Does Image Prompt Engineering 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 Image Prompt Engineering 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 Image Prompt Engineering use?
Image Prompt Engineering is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Image Prompt Engineering use?
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Image Prompt Engineering?
Skills that share tags, products or a category with Image Prompt Engineering: Prompt Engine (AgriciDaniel/claude-prompts, 110 stars), AI Image Prompts Skill (LeoYeAI/openclaw-master-skills, 2.2k stars), Image Ad Clone (krusemediallc/arcads-claude-code, 1.6k stars) and AI Image Generation Master (FerroxLabs/wayland, 608 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Image Prompt Engineering?
revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,290 GitHub stars. The repository holds 464 skills in this directory. The repository was last updated on March 22, 2026.
Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.