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image-utils

Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization.

Skill by Bria AI

IndexedMIT★ 72
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Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/bria-ai-image-utils

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About

Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.

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Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found
Runs as
Python package

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/image-utils
  • /usr/share/fonts/truetype/dejavu/DejaVuSans.ttf

What's inside

Skill name
image-utils
Description
Classic image manipulation with Python Pillow - resize, crop, composite, format conversion, watermarks, brightness/contrast adjustments, and web optimization. Use this skill when post-processing AI-generated images, preparing images for web delivery, batch processing image directories, creating responsive image variants, or performing any deterministic pixel-level image operation. Works standalone or alongside bria-ai for post-processing generated images.
License
MIT
Metadata
author: Bria AI · version: 1.3.7
Instructions
319 lines in SKILL.md · view on GitHub

Before installing

  • Ships executable scripts
  • Instructions call the network

Files (2)

  • SKILL.md
  • image_utils.py · references/code-examples/

SKILL.md (first lines)

# Image Utilities

Pillow-based utilities for deterministic pixel-level image operations. Use for resize, crop, composite, format conversion, watermarks, and other standard image processing tasks.

## When to Use This Skill

- **Post-processing AI-generated images**: Resize, crop, optimize for web after generation
- **Format conversion**: PNG ↔ JPEG ↔ WEBP with quality control
- **Compositing**: Overlay images, paste subjects onto backgrounds
- **Batch processing**: Resize to multiple sizes, add watermarks
- **Web optimization**: Compress and resize for fast delivery
- **Social media preparation**: Crop to platform-specific aspect ratios

## When NOT to Use This Skill — Use `bria-ai` Instead

This skill handles **deterministic pixel-level operations** only. For any **generative or AI-powered** image work, use the `bria-ai` skill instead:

- **Generating images from text prompts** → use `bria-ai`
- **AI background removal or replacement** → use `bria-ai`
- **AI image editing (inpainting, object removal/addition)** → use `bria-ai`
- **Style transfer or AI-driven visual effects** → use `bria-ai`
- **Creating product lifestyle shots with AI** → use `bria-ai`
- **Image upscaling with AI super-resolution** → use `bria-ai`

**Rule of thumb**: If the task requires *creating new visual content* or *understanding image semantics*, use `bria-ai`. If the task requires *transforming existing pixels* (resize, crop, format convert, watermark), use this skill.

If `bria-ai` is not available, install it with:
```bash
npx skills add bria-ai/bria-skill
```

## Quick Reference

| Operation | Method | Description |
|-----------|--------|-------------|
| **Loading** | `load(source)` | Load from URL, path, bytes, or base64 |
| | `load_from_url(url)` | Download image from URL |
| **Saving** | `save(image, path)` | Save with format auto-detection |
| | `to_bytes(image, format)` | Convert to bytes |
| | `to_base64(image, format)` | Convert to base64 string |
| **Resizing** | `resize(image, width, height)` | Resize to exact dimensions |
| | `scale(image, factor)` | Scale by factor (0.5 = half) |
| | `thumbnail(image, size)` | Fit within size, maintain aspect |
| **Cropping** | `crop(image, left, top, right, bottom)` | Crop to region |
| | `crop_center(image, width, height)` | Crop from center |
| | `crop_to_aspect(image, ratio)` | Crop to aspect ratio |
| **Compositing** | `paste(bg, fg, position)` | Overlay at coordinates |
| | `composite(bg, fg, mask)` | Alpha composite |
| | `fit_to_canvas(image, w, h)` | Fit onto canvas size |
| **Borders** | `add_border(image, width, color)` | Add solid border |
| | `add_padding(image, padding)` | Add whitespace padding |
| **Transforms** | `rotate(image, angle)` | Rotate by degrees |
| | `flip_horizontal(image)` | Mirror horizontally |
| | `flip_vertical(image)` | Flip vertically |
| **Watermarks** | `add_text_watermark(image, text)` | Add text overlay |
| | `add_image_watermark(image, logo)` | Add logo watermark |
| **Adjustments** | `adjust_brightness(image, factor)` | Lighten/darken |
| | `adjust_contrast(image, factor)` | Adjust contrast |
| | `adjust_saturation(image, factor)` | Adjust color saturation |
| | `blur(image, radius)` | Apply Gaussian blur |
| **Web** | `optimize_for_web(image, max_size)` | Optimize for delivery |
| **Info** | `get_info(image)` | Get dimensions, format, mode |

## Requirements

```bash
pip install Pillow requests
```

## Basic Usage

```python
from image_utils import ImageUtils

# Load from URL
image = ImageUtils.load_from_url("https://example.com/image.jpg")

# Or load from various sources
image = ImageUtils.load("/path/to/image.png")         # File path
image = ImageUtils.load(image_bytes)                  # Bytes
image = ImageUtils.load("data:image/png;base64,...")  # Base64

# Resize and save
resized = ImageUtils.resize(image, width=800, height=600)
ImageUtils.save(resized, "output.webp", quality=90)

# Get image info
info = ImageUtils.get_info(image)
print(f"{info['width']}x{info['height']} {info['mode']}")
```

## Resizing & Scaling

```python
# Resize to exact dimensions
resized = ImageUtils.resize(image, width=800, height=600)

# Resize maintaining aspect ratio (fit within bounds)
fitted = ImageUtils.resize(image, width=800, height=600, maintain_aspect=True)

# Resize by width only (height auto-calculated)
resized = ImageUtils.resize(image, width=800)

# Scale by factor
half = ImageUtils.scale(image, 0.5)    # 50% size
double = ImageUtils.scale(image, 2.0)  # 200% size

# Create thumbnail
thumb = ImageUtils.thumbnail(image, (150, 150))
```

## Cropping

```python
# Crop to specific region
cropped = ImageUtils.crop(image, left=100, top=50, right=500, bottom=350)

# Crop from center
center = ImageUtils.crop_center(image, width=400, height=400)

From Bria-AI/bria-skill, MIT.

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Signals

Stars
72
Forks
7
Open issues
0
Last commit (this folder)
Sep 9, 2026 (1 month ago)
Last release
Oct 21, 2026 (10 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
1.3.7
License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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image-utils skill. Agent Mart. https://agentmart.dev/skills/bria-ai-image-utils (last updated 2026-10-24)