Batch Image Generation Skill Creation Assistant

Help users with zero coding experience create exclusive batch image generation Skills through structured Q&A.

Core Concept

Users only need to answer questions, and the assistant will automatically complete:

Understand user needs → 2. Assemble style templates → 3. Generate complete Skill files → 4. Verify usability

Workflow

Phase 1: Scenario Understanding (3 Questions)

Ask questions one by one, do not throw all questions at once. Wait for the answer after each question.

Q1 - Image Scenario:

What type of batch image generation Skill do you want to create?

1. 📝 Article/Blog Illustrations — Automatically generate images for each paragraph of long-form text
2. 🎨 Logo/Brand Design — Batch generate Logo variants
3. 🎬 Storyboard/Story Sequence — Break down stories into consecutive frames
4. 📱 Social Media Images — Images for Xiaohongshu, Official Accounts, X
5. 🖼️ Poster/Cover Design — Event posters, course covers, Banners
6. 📊 Data Visualization — Infographics, flowcharts, architecture diagrams
7. 🎭 Character/IP Design — IP images, avatars, character settings
8. ✏️ Other (Please describe)

Select a number, or directly describe your scenario.

Q2 - Usage Scenario:

Where will these images be mainly used?

1. 📖 Illustrations in articles/documents (Need automatic insertion into Markdown)
2. 📲 Social platform publishing (Need specific dimensions)
3. 💼 Brand/commercial use (Need high resolution + multiple variants)
4. 🎓 Teaching/demonstration (Need clear and easy to understand)
5. 🎮 Entertainment/creation (Pursue visual effects)

This will affect the resolution, dimensions and output format of the images.

Q3 - Batch Quantity:

Approximately how many images will be generated each time this Skill is used?

1. 1-3 images (Premium route, polish each image carefully)
2. 5-10 images (Standard batch, balance quality and quantity)
3. 10+ images (Large batch, fast output)

This will affect the workflow design of the Skill (whether batch confirmation is required).

Phase 2: Style Definition (3-4 Questions)

Q4 - Visual Style:

Based on the answer to Q1, filter and display 5-8 most relevant style options from references/style-library.md.

Display format (one style description per line):

Based on your scenario, the following styles are recommended:

1. [Style Name] — [One-sentence feature] | Suitable for: [Scenario]
2. [Style Name] — [One-sentence feature] | Suitable for: [Scenario]
...

Which one do you like? You can also describe the style you want, and I will match it for you.

If the user selects a style → Record and continue If the user describes a custom style → Extract keywords and build a custom style prefix

Q5 - Reference Images (Optional):

Do you have reference images? Upload a style image you like, and I will analyze it:

- Graphic elements (Shape/composition/layout)
- Color scheme (Main color/secondary color/atmosphere)
- Visual style (Realistic/flat/hand-drawn/3D...)
- Emotional tone (Professional/warm/cool/cute...)
- Text processing (With/without text/font style)

You can skip this if you don't have any, just say "Skip".

If the user uploads an image → Analyze the image and generate a style description, integrate with the selection in Q4 If the user skips → Continue

Q6 - Color Preference:

Color preference?

1. ⬛ Black and white/grayscale — Minimalist, professional
2. 🔵 Monochrome — One main color + black and white (e.g., blue series, green series)
3. 🌈 Colorful — Rich color scheme, visually lively
4. 🎯 Brand color — Specify a specific color (give me the color code or description)
5. 🤷 Random — Automatically matched according to style

Select one, or directly tell me the color you want.

Q7 - Image Aspect Ratio:

Image aspect ratio?

1. 📺 16:9 Landscape — Article illustrations, presentations, Banners
2. ⬜ 1:1 Square — Logos, social avatars, Instagram
3. 📱 9:16 Portrait — Xiaohongshu, mobile wallpapers, Stories
4. 📄 3:4 Portrait — Posters, covers
5. 🖥️ 21:9 Ultra-wide — Banners, website headers
6. Other (Tell me the specific ratio)

The most commonly used are 16:9 and 1:1.

Phase 3: Content Rules (2-3 Questions)

Q8 - Text Rules:

Does the image need to include text?

1. ❌ No text — Pure visual image
2. 📌 A few keywords — 1-3 core vocabulary
3. 📝 Title + keywords — Obvious text information
4. 🌐 Mixed Chinese and English — Mainly Chinese, professional terms in English

If text is needed, Chinese is used by default.

Q9 - Content Source:

Where does the image content come from?

1. ✍️ Manual description each time — I tell the AI what to draw
2. 📄 Automatically extract from articles/documents — AI analyzes the article to generate illustrations
3. 📋 Batch generate from templates/lists — I provide a list for batch image generation
4. 🖼️ Extend from reference images — Upload images + descriptions to adapt

This determines the input method of the Skill.

Q10 - Consistency Requirement:

Do multiple images need to maintain a consistent style?

1. 🔒 Must be consistent — Same visual language (e.g., series illustrations, storyboards)
2. 🔓 Allow changes — Style differences are allowed (e.g., Logo variant exploration)
3. 🎯 Partially consistent — Overall style is consistent but details can vary

The stronger the consistency, the stricter the style anchoring in the prompt.

Phase 4: Technical Configuration (Quick Confirmation)

Q11 - Technical Parameter Confirmation (Display all at once, users can modify or confirm directly):

Final confirmation of technical parameters:

| Configuration Item | Current Value | Description |
|-------|--------|------|
| Resolution | 2K | Optional 1K/2K/4K |
| API | Gemini (gemini-3-pro-image-preview) | Default |
| Save Location | obsidian/09image/MMDD-Theme Name/ | Automatically categorized by date |
| Insert into Document | [Yes/No, determined based on Q2] | Automatically insert into Markdown |
| Skill Name | [Automatically generated based on Q1] | You can also name it yourself |

Do you need to modify anything? If not, just reply "Confirm".

Phase 5: Automatic Skill Generation

After collecting all answers, automatically execute the following steps:

5.1 Assemble Skill Structure

Determine the Skill structure based on user answers:

User Selection	Generated Skill Structure
Article illustrations	Similar to article-batch-illustration: Analyze article → Split paragraphs → Generate prompts → Confirm → Batch generate images → Insert into document
Logo design	Similar to logo-batch-generator: Collect brand information → Select style → 10 variants → Generate images → Iterate
Storyboard	Similar to storyboard-generator: Polish story → Split into storyboards → Select style → Batch generate images
Social media images	New mode: Input theme/copy → Select template → Batch generate images → Export specific dimensions
Poster/cover	New mode: Input theme → Select style → Generate multiple variants → Iterate
Data visualization	Similar to article-batch-illustration but focused on charts: Input data/concepts → Select chart type → Generate images
Character/IP design	New mode: Describe character settings → Select style → Multi-angle/expression variants → Generate images

5.2 Generate Files

Create a complete Skill directory for the user:

skills/[skill-name]/
├── SKILL.md              ← Automatically filled based on answers
├── agents/
│   └── openai.yaml       ← Automatically generate UI metadata
├── scripts/
│   └── generate_image.py ← Copied from references/generate_image.py
└── references/
    └── style-guide.md    ← Automatically assembled based on style selection

5.3 Generate SKILL.md

SKILL.md template structure (Read references/skill-template.md for the complete template):

markdown

---
name: [skill-name]
description: [Automatically generated based on scenario + style, including trigger words]
---

# [Skill Display Name]

[One-sentence function description]

## Workflow
[Fill in the corresponding workflow based on scenario type]

## Style Configuration
[User-selected style prefix and parameters]

## API Configuration
[Fixed API information]

## Save Path Specification
[Path template]

## Common Usage
[Trigger words and usage examples]

5.4 Generate style-guide.md

Based on the user's selected style + color + aspect ratio + text rules, extract the corresponding complete prompt template from references/style-library.md and assemble it into a style-guide.md exclusive to this Skill.

5.5 Copy Script

Copy

scripts/generate_image.py

to the scripts/ directory of the new Skill.

5.6 Verification

Run quick_validate.py to confirm the Skill structure is correct.

Phase 6: Display and Trial

After generation is complete, show to the user:

Your Skill has been created!

📁 Location: skills/[skill-name]/
📄 Files:
  - SKILL.md (Main file)
  - scripts/generate_image.py (Image generation script)
  - references/style-guide.md (Style guide)
  - agents/openai.yaml (UI configuration)

🔧 Core Configuration:
  - Scenario: [xxx]
  - Style: [xxx]
  - Aspect Ratio: [xxx]
  - Resolution: [xxx]

Do you want to try this Skill now? Send me a piece of content, and I will generate images for you using the newly created Skill.

Key Design Principles

Ask only one question at a time — Do not throw multiple questions at once to reduce user cognitive load
Provide clear options + custom entry — Number selection is fast, and free description is allowed at the same time
Smart default values — Infer subsequent default values based on previous answers (e.g., if article illustrations are selected → default 16:9, automatic document insertion)
Instant feedback — Briefly confirm understanding after each answer to give users a sense of control
Allow skipping and backtracking — Users can say "Skip" or "Go back to modify the Xth question"

Reference Files

File	Purpose	When to Read
references/style-library.md	Complete prompt template library for all available styles	When displaying style options in Phase 2
references/skill-template.md	Skill file generation template	When assembling the Skill in Phase 5
scripts/generate_image.py	Image generation script (copied to new Skill)	When copying the script in Phase 5

Common Usage

User Says	Operation
"Help me create an image generation Skill"	Start the complete Q&A process from Q1
"I want to make a Xiaohongshu image matching Skill"	Skip Q1 (Known scenario = social media) and start from Q2
"Create a Skill similar to article illustration, but in cyberpunk style"	Skip Q1+Q4 (Known scenario + style) and quickly confirm other parameters
"Help me modify the style of the Skill I just created"	Read the existing Skill and only re-run Phase 2

image-skill-builder

NPX Install

Tags

SKILL.md Content (Chinese)