image-prompt-generator
Generate AI images using Gemini image generation API. Use this skill when content needs images - thumbnails, social posts, blog headers, or creative visuals. Follows an iterative workflow - brainstorm concepts, select direction, generate in multiple styles, then produce via API.
How do I install this agent skill?
npx skills add https://github.com/cdeistopened/skill-stack --skill image-prompt-generatorIs this agent skill safe to install?
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The skill provides comprehensive guidance and utility scripts for generating and editing images using the Google Gemini API. It implements standard practices for API usage and style management, with no malicious patterns detected.
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What does this agent skill do?
Image Prompt Generator
Generate professional, non-generic images using Google's Gemini API for image generation.
Prerequisites & Setup
Getting Your Gemini API Key
- Go to Google AI Studio
- Sign in with your Google account
- Click "Create API Key"
- Copy the generated key
Configuring the API Key
Option 1: Environment file (recommended)
Create a .env file in your project root:
GEMINI_API_KEY=your_api_key_here
Option 2: Direct environment variable
export GEMINI_API_KEY=your_api_key_here
Install Dependencies
pip install google-generativeai python-dotenv pillow
Available Models
| Model | API Name | Best For |
|---|---|---|
| Flash | gemini-2.5-flash-image | Speed, drafts, iteration |
| Pro | gemini-3-pro-image-preview | Final assets, 16:9 aspect ratio, quality |
Image Size (CRITICAL for quality)
| Size | Output | Use For |
|---|---|---|
| 1K | ~400KB | Drafts, iteration |
| 2K | ~2MB | Thumbnails, web assets (default) |
| 4K | ~7MB | Print, high-resolution needs |
CRITICAL: Always specify --size 2K or --size 4K for final assets. Without this, output defaults to 1K which looks low-quality.
Skill Stack Thumbnails - MANDATORY SETTINGS
For ANY Skill Stack thumbnail, you MUST use:
python scripts/images/generate_image.py "YOUR PROMPT" \
--model pro \
--size 2K \
--aspect 16:9 \
--output public/images/thumbnails \
--name your-slug
And your prompt MUST include risograph style instructions:
STYLE: Risograph / screen print aesthetic. Visible halftone dots throughout.
Slight misregistration between color layers. Indie printmaking quality - warm, tactile, handmade.
COLOR: Warm cream base. Charcoal and gray tones. Terracotta (#D4654A) accent on ONE key element.
TEXTURE: Visible halftone pattern. Paper grain. NOT smooth digital gradients.
AVOID: Empty white borders, photorealism, glossy renders, smooth gradients, clip art aesthetic.
WHY: Without --size 2K, output is ~400KB garbage that looks like it was made with Flash. Without risograph style, output looks generic and AI-generated.
Workflow Overview
- Brainstorm Concepts - Generate 4-6 high-level visual ideas
- Select Direction - User picks the concept they like
- Optimize Prompt - Refine into a strong, detailed prompt
- Style Variations - Adapt to 2-3 different visual styles
- Generate Images - Run via Gemini API
Step 1: Brainstorm Concepts
When the user provides a topic or use case, generate 3 high-level visual concepts and indicate your pick. Each concept should be:
- One sentence describing the visual idea
- Concrete and immediate - you can picture it instantly
- Conceptual but not abstract - a clear object/scene with meaning
- Non-generic - avoid cliches (no lightbulbs for ideas, no handshakes for partnership)
Format:
**Concept A:** One sentence description of the visual concept and why it works.
**Concept B:** One sentence description...
**Concept C:** One sentence description...
**My pick: Concept X** — Brief reasoning why this one is strongest.
Example for "newsletter about personal productivity":
**Concept A:** A vintage compass where the needle points toward a coffee ring stain on a map—direction emerges from daily rituals.
**Concept B:** A clock where the 12 hours show seasonal changes—time management over long arcs, not just hours.
**Concept C:** One small key attached to dozens of decorative keychains—we overcomplicate simple solutions.
**My pick: Concept A** — The coffee stain is unexpected and personal, the compass is concrete without being cliché.
Wait for user to confirm or redirect before proceeding.
Step 2: Optimize the Prompt
Once the user selects a concept, develop it into a full prompt. Structure:
Create a [style type] illustration of [subject].
CONCEPT: [Expand the one-sentence idea into a clear visual description]
STYLE: [Artistic approach - load from references/styles/ if brand-specific]
COMPOSITION: [Framing, focal point, negative space, balance]
COLORS: [Palette - describe by name, not hex codes which may render as text]
TEXTURE: [Surface qualities, analog/digital feel]
AVOID: [What should NOT appear - be specific]
FORMAT: [Aspect ratio]
Key principles:
- Natural language, full sentences - no tag soup
- Describe colors by name (burnt orange, sky blue, near-black) not hex codes
- Maximum 2-3 elements - if it feels busy, remove something
- Favor metaphor over literal depiction
Step 3: Style Variations
MANDATORY for Skill Stack: Risograph style. Every thumbnail must include risograph style instructions in the prompt. See references/styles/risograph.md.
Key risograph elements to ALWAYS include in prompt:
- "Visible halftone dots throughout"
- "Slight misregistration between color layers"
- "Indie printmaking quality - warm, tactile, handmade"
- "NOT smooth digital gradients"
Available styles in references/styles/ (for non-Skill-Stack projects):
- risograph.md - DEFAULT. Halftone dots, misregistration, indie printmaking aesthetic.
- minimalist-ink.md - High-contrast black and white, crosshatching.
- watercolor-line.md - Ink linework with watercolor washes.
- editorial-conceptual.md - Conceptual, sophisticated, editorial wit.
Step 4: Generate via API
Running the Script
# Generate 2K thumbnail (recommended for web)
python scripts/images/generate_image.py "prompt here" --model pro --aspect 16:9 --size 2K
# Generate 4K for print/high-res
python scripts/images/generate_image.py "prompt here" --model pro --size 4K
# Save to specific folder
python scripts/images/generate_image.py "prompt" --output "./images" --name "my_image" --size 2K
Options:
--model pro(default, higher quality) or--model flash(faster)--size 2K(default),1K, or4K- always use 2K or 4K for final assets--aspect 16:9(default),1:1,9:16,3:4,4:3--variations N- generate N versions--output ./path- save location--name prefix- filename prefix
Output location: Save images alongside the content they belong to - not a generic images dump.
Step 5: Iterate
After user reviews generated images:
- 80% good? Request specific edits conversationally rather than regenerating
- Composition off? Adjust framing or element placement in prompt
- Wrong style? Try a different style reference
- Too busy? Simplify to fewer elements
- Colors wrong? Be more explicit about palette
Prompting Principles
Write Like a Creative Director
Brief the model like a human artist. Use proper grammar, full sentences, and descriptive adjectives.
| Don't | Do |
|---|---|
| "Cool car, neon, city, night, 8k" | "A cinematic wide shot of a futuristic sports car speeding through a rainy Tokyo street at night. The neon signs reflect off the wet pavement and the car's metallic chassis." |
Be specific about:
- Subject: Instead of "a woman," say "a sophisticated elderly woman wearing a vintage chanel-style suit"
- Materiality: Describe textures - "matte finish," "brushed steel," "soft velvet," "crumpled paper"
- Setting: Define location, time of day, weather
- Lighting: Specify mood and light source
- Mood: Emotional tone of the image
Provide Context
Context helps the model make logical artistic decisions. Include the "why" or "for whom."
Example: "Create an image of a sandwich for a Brazilian high-end gourmet cookbook." (Model infers: professional plating, shallow depth of field, perfect lighting)
Keep It Simple
- One clear focal point
- Maximum 2-3 elements total
- Generous negative space
- If it feels busy, remove something
Avoid the Generic
Hard rules:
- NEVER include text in images - Text renders poorly and looks amateur
- No lightbulbs for "ideas"
- No handshakes for "partnership"
- No audio waveforms for "podcasts" or "audio"
- No gears/cogs for "systems" or "process"
- No happy stock photo poses
- No glossy AI aesthetic
- No puzzle pieces for "connection" or "integration"
Metaphors That Work
Strong concepts from past generations:
- Orange cut open revealing neural network - organic exterior, systematic interior (knowledge systems, RAG)
- Mail slot with origami bird emerging - delivery transforms into something alive (newsletters)
- Exercise club crossed with quill pen - physical culture meets intellectual work (body + mind)
- Typewriter key extreme close-up with radiating impact - decisive action, command (books, authority)
- Medicine dropper with mandala bloom - clinical precision meets transcendence (therapy, transformation)
- Straight razor on leather strop - precision tool, polishing, refinement (editing, production)
- Prism dispersing light into distinct beams - one input, multiple outputs (frameworks)
- Compass with coffee stain on map - direction from daily rituals (productivity)
Resources
references/styles/
Aesthetic style definitions:
risograph.md- DEFAULT - Halftone, misregistration, indie printmakingminimalist-ink.md- Black and white ink illustrationwatercolor-line.md- Ink with watercolor washeseditorial-conceptual.md- Conceptual editorial style
scripts/
generate_image.py- Gemini API image generation
Prompt Modifiers Reference
| Category | Examples |
|---|---|
| Lighting | golden hour, dramatic shadows, soft diffused light, neon glow, overcast |
| Style | cinematic, editorial, technical diagram, hand-drawn, photorealistic |
| Texture | matte finish, brushed steel, soft velvet, crumpled paper, weathered wood |
| Composition | wide shot, close-up, bird's eye view, dutch angle, symmetrical |
| Mood | energetic, serene, dramatic, playful, sophisticated |
| Quality | 4K, high-fidelity, pixel-perfect, professional grade |
Advanced Capabilities
Text Rendering & Infographics
Put exact text in quotes. Specify style: "polished editorial," "technical diagram," or "hand-drawn whiteboard."
Example prompts:
Earnings Report Infographic:
"Generate a clean, modern infographic summarizing the key financial highlights from this earnings report. Include charts for 'Revenue Growth' and 'Net Income', and highlight the CEO's key quote in a stylized pull-quote box."
Whiteboard Summary:
"Summarize the concept of 'Transformer Neural Network Architecture' as a hand-drawn whiteboard diagram suitable for a university lecture. Use different colored markers for the Encoder and Decoder blocks, and include legible labels for 'Self-Attention' and 'Feed Forward'."
Character Consistency & Thumbnails
Use reference images and state "Keep the person's facial features exactly the same as Image 1." Describe expression/action changes while maintaining identity.
Example prompt:
Viral Thumbnail:
"Design a viral video thumbnail using the person from Image 1.
Face Consistency: Keep the person's facial features exactly the same as Image 1, but change their expression to look excited and surprised.
Action: Pose the person on the left side, pointing their finger towards the right side of the frame.
Subject: On the right side, place a high-quality image of a delicious avocado toast.
Graphics: Add a bold yellow arrow connecting the person's finger to the toast.
Text: Overlay massive, pop-style text in the middle: 'Done in 3 mins!'. Use a thick white outline and drop shadow.
Background: A blurred, bright kitchen background. High saturation and contrast."
Image Reworking (Edit Existing Images)
The --input flag enables "rework mode" - pass an existing image to Gemini and describe the changes you want.
Key use cases:
- Small tweaks - Adjust colors, add/remove elements, change lighting
- Style transfer - Keep composition but change artistic style
- Object manipulation - Remove, add, or modify specific objects
- Seasonal/temporal changes - Same scene, different time/season
Running in rework mode:
# Basic edit - add something
python scripts/generate_image.py "Add snow to the roof and yard" \
--input ./house.png \
--model pro
# Color adjustment
python scripts/generate_image.py "Change the accent color from red to teal, keep everything else identical" \
--input ./thumbnail.png \
--model pro
# Style transfer - keep composition, change aesthetic
python scripts/generate_image.py "Convert this to risograph style with halftone dots and slight color misregistration" \
--input ./photo.png \
--model pro
# Generate variations of an edit
python scripts/generate_image.py "Make the lighting warmer, like golden hour" \
--input ./portrait.png \
--variations 3 \
--model pro
Prompting tips for rework mode:
-
Be specific about what to preserve:
- "Keep the person's facial features exactly the same"
- "Maintain the composition and framing"
- "Don't change the background"
-
Be explicit about what to change:
- "Change ONLY the color of the shirt from blue to red"
- "Add snow to the roof and nothing else"
- "Remove the text overlay"
-
Use comparative language:
- "Make the colors more vibrant"
- "Increase the contrast slightly"
- "Make the lighting softer and more diffused"
Output naming: Files from rework mode are named {prefix}_{timestamp}_edit_{model}.png to distinguish from generated images (_gen_).
Advanced Editing Examples
Object Removal:
python scripts/generate_image.py \
"Remove the tourists from the background and fill with matching cobblestones and storefronts" \
--input ./street-photo.png \
--model pro
Seasonal Control:
python scripts/generate_image.py \
"Turn this into winter. Add snow to the roof and yard. Change lighting to cold, overcast afternoon. Keep architecture identical." \
--input ./house-summer.png \
--model pro
Character Consistency (thumbnail series):
python scripts/generate_image.py \
"Keep the person's face exactly the same. Change expression to surprised. Add a pointing gesture toward the right side of the frame." \
--input ./person-reference.png \
--model pro
Related Skills
- youtube-title-creator - Pair generated images with optimized titles
- social-content-creation - Use images in platform-optimized posts
For custom brand styles, create new style files in references/styles/ following the existing format
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/cdeistopened/skill-stack/image-prompt-generator">View image-prompt-generator on skillZs</a>