prompts
Show GenAI prompt templates for sprite generation.
Usage
pxl prompts [TEMPLATE]
Arguments
| Argument | Description |
|---|---|
[TEMPLATE] | Template name to show. If omitted, lists all available templates |
Available Templates
| Template | Description |
|---|---|
character | Character sprite generation prompt |
item | Item and object sprite generation |
tileset | Tileset and terrain generation |
animation | Animation sequence generation |
Description
The prompts command provides ready-to-use prompt templates for generating Pixelsrc content with AI models. Each template includes:
- Clear instructions for the AI
- Format specifications
- Example output structure
- Common parameters to customize
Examples
List available templates
# Show all available templates
pxl prompts
Get specific template
# Get character sprite template
pxl prompts character
# Get animation template
pxl prompts animation
Use with AI tools
# Copy template to clipboard (macOS)
pxl prompts character | pbcopy
# Pipe to AI tool
pxl prompts character | ai-chat --model gpt-4
# Save template for editing
pxl prompts tileset > tileset-prompt.txt
Preview AI output quickly
# After generating sprite, preview in terminal
pxl show sprite.pxl -s character
# View with coordinates for debugging
pxl grid sprite.pxl -s character
# Get structural breakdown
pxl explain sprite.pxl -s character
Sample Template Output
# Character Sprite Generation
Generate a pixel art character sprite in Pixelsrc format.
## Requirements
- Size: 16x16 pixels
- Style: Retro game aesthetic
- Include: Front-facing idle pose
## Output Format
Create a palette with 4-8 colors, then a sprite referencing those colors.
Example structure:
palette: name: character_colors colors: outline: #000000 skin: #E0A070 ...
sprite: name: character palette: character_colors grid: _ _ _ _ ...
## Guidelines
- Use `_` for transparent pixels
- Keep outlines consistent (usually 1px black)
- Center the character in the grid
...
Use Cases
- Quick start: Get working prompts without writing from scratch
- Consistency: Ensure AI outputs match expected format
- Training: Understand effective prompt structure
- Integration: Build into AI-powered workflows