<2-3 sentences summarising what the project addresses and solves, the target audience, and the benefit.> This repository provides official AI skills for PixiJS v8, designed to teach AI coding agents how to correctly implement 2D rendering features using WebGL, WebGPU, and Canvas. It empowers AI assistants to generate accurate PixiJS code for applications, graphics, sprites, text, filters, and performance optimization, benefiting developers seeking AI-assisted graphics development.

How It Works

The project comprises a structured collection of AI "skills," each targeting a specific aspect of PixiJS v8 development. These skills are consumable by various AI coding agents via CLI integration or direct file copying. They offer guidance, patterns, and examples for tasks ranging from basic application setup and scene graph management to advanced custom rendering, shader usage, and performance tuning, enabling AI agents to produce idiomatic PixiJS code.

Quick Start & Requirements

Installation is primarily achieved via npx skills add https://github.com/pixijs/pixijs-skills. Alternatively, skills can be manually cloned and integrated into agent-specific directories (e.g., ~/.cursor/skills/). GitHub Copilot integration requires copying specific instruction files from the .github/ directory into the target repository. Prerequisites include a compatible AI coding agent (Cursor, Claude Code, Codex, Copilot, etc.) and Node.js for the npx command. Official documentation and agent-specific setup guides are linked within the repository structure.

Highlighted Details

• Comprehensive skill coverage for PixiJS v8, including application initialization, scene graph architecture, asset loading, sprite and text rendering, advanced filters, and custom shader development (GLSL/WGSL).
• Dedicated skills for performance optimization, profiling, and migration guidance from PixiJS v7.
• Support for diverse rendering environments, including Web Workers, OffscreenCanvas, and Node.js/SSR.
• Detailed guidance on event handling, accessibility features, and integrating HTML elements with the canvas via DOMContainer.

Maintenance & Community

As an official PixiJS project, it benefits from the core PixiJS development team's oversight. Specific community channels or active contributor lists are not detailed in the provided README excerpt.

Licensing & Compatibility

The project is released under the MIT License. This permissive license allows for broad compatibility with commercial applications and closed-source projects, with minimal restrictions beyond attribution.

Limitations & Caveats

The primary function is to serve as a knowledge base for AI agents; direct library import for end-user applications is not its main purpose. Integration requires specific AI agent tooling, and Copilot users must manually manage instruction file placement. The README does not detail specific benchmarks for the skills themselves, focusing instead on the PixiJS features they represent.