image-analysis

Extract color palettes from images (screenshots, Figma exports, design mockups) to help implement matching UI. Use when the user shares a screenshot, design image, or asks to "match these colors", "extract colors from this image", "implement this design", or "get the color palette".

Safety Notice

This listing is imported from skills.sh public index metadata. Review upstream SKILL.md and repository scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "image-analysis" with this command: npx skills add pascalorg/skills/pascalorg-skills-image-analysis

Image Analysis — Color Extraction

Extract dominant colors from any image file (PNG, JPG, WebP, BMP, GIF) and return a structured palette. Useful for implementing UIs that match a screenshot, Figma export, or design mockup.

When to Use

  • The user provides a screenshot or design image and wants to implement it
  • The user asks to extract or identify colors from an image
  • The user wants a color palette from a photo or mockup
  • The user wants to match their code's colors to a reference image

How It Works

  1. Reads the image file using get-pixels to obtain raw pixel data
  2. Passes pixel data to extract-colors to compute dominant colors
  3. Returns a sorted palette (by area/prominence) with hex, RGB, HSL values, and area coverage

Usage

Run the extraction script, passing the image path as the first argument:

bash <skill-path>/scripts/extract-colors.sh /path/to/image.png

Arguments:

  • $1 — Path to the image file (required). Supports PNG, JPG, WebP, BMP, GIF.

Examples:

# Extract colors from a screenshot
bash <skill-path>/scripts/extract-colors.sh ./screenshot.png

# Extract colors from a Figma export
bash <skill-path>/scripts/extract-colors.sh ~/Downloads/figma-design.jpg

Output

The script outputs a JSON array of colors sorted by prominence:

[
  {
    "hex": "#1a1a2e",
    "red": 26,
    "green": 26,
    "blue": 46,
    "hue": 0.6667,
    "saturation": 0.2778,
    "lightness": 0.1412,
    "area": 0.3241
  },
  {
    "hex": "#e94560",
    "red": 233,
    "green": 69,
    "blue": 96,
    "hue": 0.9724,
    "saturation": 0.7928,
    "lightness": 0.5922,
    "area": 0.1856
  }
]
FieldTypeDescription
hexStringColor as hex string (e.g. #1a1a2e)
redIntegerRed channel (0-255)
greenIntegerGreen channel (0-255)
blueIntegerBlue channel (0-255)
hueNumberHue (0-1)
saturationNumberSaturation (0-1)
lightnessNumberLightness (0-1)
areaNumberRelative area/prominence (0-1)

Present Results to User

After extracting colors, present them as a structured palette:

Color Palette (sorted by prominence):

1. #1a1a2e — 32.4% (dark navy) — Primary background
2. #e94560 — 18.6% (coral red) — Accent color
3. #f5f5f5 — 15.2% (light gray) — Secondary background
...

Then suggest how to use these colors in the user's codebase:

  • CSS custom properties / variables
  • Tailwind config theme colors
  • Design token definitions
  • Direct usage in component styles

Troubleshooting

"Cannot find module" errors

The script auto-installs dependencies (extract-colors, get-pixels) on first run. If this fails, install them manually:

cd <skill-path>/scripts && npm install

Unsupported image format

The underlying get-pixels library supports PNG, JPG, GIF, and BMP. For other formats, convert the image first.

Large images are slow

The extract-colors library automatically downsamples to 64,000 pixels by default. For very large images this is already fast, but you can adjust the pixels option in the script if needed.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

image-to-text

No summary provided by upstream source.

Repository SourceNeeds Review
General

web-design

No summary provided by upstream source.

Repository SourceNeeds Review
Research

skill-creator

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

Repository SourceNeeds Review
85.1K94.2Kanthropics
Research

slack-gif-creator

Knowledge and utilities for creating animated GIFs optimized for Slack. Provides constraints, validation tools, and animation concepts. Use when users request animated GIFs for Slack like "make me a GIF of X doing Y for Slack."

Repository Source
12.1K94.2Kanthropics