unreal-niagara
Unreal Engine Niagara VFX skill for particle simulations, GPU sprites, and procedural visual effects.
npx skills add a5c-ai/babysitter --skill unreal-niagara --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Unreal Niagara Skill Niagara visual effects system for Unreal Engine. ## Overview This skill provides capabilities for creating visual effects using Unreal's Niagara system, including particle simulations, GPU particles, and procedural effects. ## Capabilities ### Particle Systems - Create emitter modules - Configure spawn, update, render - Handle particle attributes - Implement GPU simulation ### Module Development - Create custom modules - Implement scratch pad modules - Handle data interfaces - Build reusable libraries ### Integration - Spawn from Blueprints/C++ - Handle events and triggers - Integrate with gameplay - Manage performance ### Advanced Features - Implement mesh particles - Create ribbon effects - Handle simulation stages - Build fluid simulations ## Prerequisites - Unreal Engine 5.0+ - Niagara plugin enabled ## Usage Patterns ### Spawning Effects ```cpp // C++ spawn UNiagaraComponent* NiagaraComp = UNiagaraFunctionLibrary::SpawnSystemAtLocation( GetWorld(), ExplosionEffect, Location, Rotation ); // Set parameters NiagaraComp->SetVariableFloat(FName("Scale"), 2.0f); ``` ### Blueprint Integration ``` 1. Add Niagara Component 2. Set Niagara System Asset 3. Call Acti
- Overview
- Capabilities
- Particle Systems
- Module Development
- Integration
- Advanced Features
- Prerequisites
- Usage Patterns
- Spawning Effects
- Blueprint Integration
- Best Practices
- References
What does the unreal-niagara skill do?
Unreal Engine Niagara VFX skill for particle simulations, GPU sprites, and procedural visual effects.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill unreal-niagara --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.