p-skill for Openclaw

A comprehensive image manipulation toolkit offering automated enhancement, background removal, and creative filtering for seamless visual workflows.

hgta23
v1.0.0
Apr 6, 2026
0
994
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install p

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install p using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is p-skill?

p-skill is a versatile image processing library designed to bring professional-grade editing capabilities to automated environments. Built with the core philosophy of Power, Productivity, Precision, and Playfulness, this skill allows developers to handle complex visual tasks programmatically. It serves as a vital component within the Openclaw Skills ecosystem for anyone looking to automate repetitive graphic design tasks.

The library supports a wide array of operations ranging from basic resizing and format conversion to advanced creative effects. By integrating p-skill into your projects, you gain access to high-performance tools for smart image enhancement, intelligent background removal, and sophisticated text overlays, ensuring that your automated visual content meets high quality standards.

p-skill Use Cases

  • Automating the creation of marketing materials by batch-adding text and filters to raw images.
  • Building automated product catalogs by removing backgrounds and normalizing image dimensions.
  • Generating data-driven photo collages and grid layouts for reporting and social media.
  • Programmatic enhancement of user-uploaded content using smart one-click optimization features.

How p-skill Works

  1. The user initializes the skill and loads source images in standard formats like JPEG, PNG, or WebP.
  2. Transformative operations are applied, such as scaling, cropping, or format conversion to prepare the assets.
  3. Advanced enhancement modules adjust brightness, contrast, and sharpness or apply smart auto-optimization.
  4. Creative filters or background removal logic are executed based on the specific requirements of the workflow.
  5. Text or watermarks are overlaid using precise coordinate positioning or 9-point preset alignments.
  6. The processed image is exported as a high-quality file, ready for distribution or further pipeline steps.

p-skill Setup

To start using this skill within your environment, ensure you have the necessary dependencies installed:

pip install -r requirements.txt

The skill requires Pillow >= 10.0.0 for core image operations.

p-skill Data Schema & Taxonomy

The skill organizes its operations through specialized modules that interact with standard image objects. Below is a summary of the data handling:

Feature Input/Parameters Output Details
Core IO File paths for JPEG, PNG, WebP PIL Image Objects
Transformations Tuples for size (W, H) or Scale (float) Resized/Cropped Image
Enhancements Factor-based adjustment (1.0 = baseline) Enhanced RGB Image
Composite List of Image objects Stitched Horizontal/Vertical/Grid
Background Color tolerance and smooth radius RGBA Image with transparency
Text String content, 9-point presets, or X/Y Annotated Image

p-skill Advanced Features

  • Smart Enhance: One-click optimization that automatically balances brightness, contrast, and sharpness.
  • Seamless Stitching: Automated horizontal, vertical, and grid-based image composition with intelligent alignment.
  • Advanced Background Removal: Detection and removal of light-colored backgrounds or specific custom colors with adjustable tolerance.
  • Multilingual Text Support: Automatic system font detection for Chinese characters and support for custom font paths with rotation.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*