Initialize Party engine with runtime auto-detection and deterministic module wiring.
npx skills add https://github.com/cazala/party --skill party-cazala
Please help me install this Agent Skill. Skill: party Source: https://github.com/cazala/party/tree/main Command: npx skills add https://github.com/cazala/party --skill party-cazala
Party's programmatic guide helps developers embed the engine in custom apps, providing a clear path for runtime selection, module wiring, and particle spawning.
Initialize the engine with a canvas, configure a few module(s), then call initialize() and play() to start a deterministic simulation.
High-intent search queries and answers about installing and using this skill.
To initialize a particle engine with CPU fallback, provide a canvas, configure modules, and call the initialization and play functions. The engine auto-detects runtime capabilities, selecting WebGPU or defaulting to CPU for deterministic behavior.
Runtime auto-detection for WebGPU particle simulations is a mechanism that checks the environment during engine initialization. It automatically selects WebGPU if supported, otherwise falling back to CPU to ensure the simulation runs deterministically.
Yes, you can export and import particle engine settings for presets. The API supports complete engine state serialization, allowing you to save configurations, module wiring, and oscillator setups, then import them later to reproduce exact particle behaviors.
You wire oscillators and modules in a TypeScript particle engine by chaining typed API configurations during setup. This programmatic module wiring connects particle spawning logic and oscillators to the engine, enabling deterministic interactions and bespoke simulations.
Yes, this particle engine supports integrating custom simulations into games. It provides a typed API for engine initialization and module wiring, allowing developers to embed particle systems, prototype module interactions, and run deterministic simulations at scale.
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