
unreal-niagara
Create and control VFX in Unreal Engine 5 with Niagara: systems and emitters, modules and the spawn/update stages, exposed User parameters, and spawning or driving effects from Blueprints or C++. Use when building particle effects, NS/NE assets, spawning a Niagara system at runtime, setting User parameters, or when the user mentions Niagara, VFX, or a particle system in Unreal.
- Installs
- 5.4K
- Last 24h
- +297
- Trending rank
- #963
- Security
- Pass
Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/gamedev-skills/awesome-gamedev-agent-skills --skill unreal-niagara- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads unreal-niagara automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
Unreal Niagara VFX
Build and control real-time visual effects in UE5 with Niagara: understand the System/Emitter/Module hierarchy, expose parameters you can drive from gameplay, and spawn effects at runtime. Targets UE 5.8. (Niagara replaces the legacy Cascade system.)
When to use
- Use when creating a Niagara System (
NS_) and Emitters (NE_), wiring modules in the spawn/update stages, exposing User parameters to gameplay, or spawning/driving an effect (impact, muzzle flash, fire, magic) from Blueprint or C++. - Use when the project has Niagara
NS_/NE_assets or referencesUNiagaraComponent.
When not to use: material/shader authoring (the look of a surface, not particles) is a
separate topic; shader-programming covers cross-engine shader concepts. Audio for the effect
→ audio-design.
Core workflow
- Understand the hierarchy. A Niagara System (
NS_) is the effect you place/spawn; it contains one or more Emitters (NE_, often emitter templates). Each emitter runs in stages: Emitter Spawn/Update, Particle Spawn/Update, optional Event Handler, and Render. - Build behaviour from Modules, which execute top-to-bottom in each stage (Spawn Rate, Add Velocity, Gravity Force, Color over Life, etc.). Order matters — a later module reads the values earlier ones wrote.
- Know the parameter namespaces:
System,Emitter,Particle, andUser. Only User-namespace parameters are exposed to and settable from Blueprint/C++; the others are internal to the simulation. - Spawn at runtime with
UNiagaraFunctionLibrary::SpawnSystemAtLocation(world position) orSpawnSystemAttached(follows a component/socket), which return aUNiagaraComponent. - Drive the effect by setting its User parameters on the returned component (color, spawn
rate, a target position) and
Activate/Deactivateit. - Verify in the Niagara editor preview and in-level; check bounds (especially GPU emitters), and confirm the effect culls/destroys correctly.
Patterns
1. Spawn a one-shot effect at a world location (C++)
#include "NiagaraFunctionLibrary.h"
#include "NiagaraComponent.h"
// ImpactSystem is a UPROPERTY(EditAnywhere) TObjectPtr<UNiagaraSystem>.
void AProjectile::SpawnImpact(const FVector& Location, const FRotator& Rotation)
{
UNiagaraComponent* FX = UNiagaraFunctionLibrary::SpawnSystemAtLocation(
GetWorld(), ImpactSystem, Location, Rotation);
// FX auto-destroys when finished for a one-shot (system marked non-looping).
}
2. Spawn attached to a socket (muzzle flash that follows the gun)
UNiagaraComponent* Muzzle = UNiagaraFunctionLibrary::SpawnSystemAttached(
MuzzleSystem, WeaponMesh, FName("MuzzleSocket"),
FVector::ZeroVector, FRotator::ZeroRotator,
EAttachLocation::SnapToTarget, /*bAutoDestroy*/ true);
3. Drive an exposed User parameter at runtime
// Only User-namespace parameters can be set from gameplay. Names match the User parameter.
if (UNiagaraComponent* Fire = UNiagaraFunctionLibrary::SpawnSystemAttached(
FireSystem, RootComponent, NAME_None, FVector::ZeroVector, FRotator::ZeroRotator,
EAttachLocation::KeepRelativeOffset, /*bAutoDestroy*/ false))
{
Fire->SetVariableFloat(FName("SpawnRate"), 250.f); // User.SpawnRate
Fire->SetVariableLinearColor(FName("FireColor"), FLinearColor::Red);
}
4. Blueprint equivalent (node flow)
Spawn System at Location (System = NS_Impact, Location, Rotation) -> returns Niagara Component
On the returned component:
Set Niagara Variable (Float) Name="SpawnRate" Value=250
Set Niagara Variable (LinearColor) Name="FireColor" Value=Red
Pitfalls
- Trying to set a System/Emitter/Particle parameter from gameplay — it won't take. Expose it in the User namespace; only User parameters are settable via the component.
- Using Cascade tutorials — Cascade is deprecated and no longer developed. Niagara is the current system; the emitter/module workflow differs. For existing Cascade assets, the Cascade To Niagara Converter plugin gives a starting point to port from.
- Crash on the spawned component —
SpawnSystemAtLocation/SpawnSystemAttachedcan returnnullptr(no system asset, or the effect was culled before spawning by its scalability settings). Null-check the result before setting parameters. Both functions are marked unsafe during actor construction, so spawn fromBeginPlayor later, not the Construction Script. - Effect disappears or doesn't cull right — fixed/incorrect bounds, especially for GPU Compute emitters which need explicit Fixed Bounds. Set bounds on the emitter/system.
- Looping effect never stops — spawned with
bAutoDestroy = falseand neverDeactivate()d; manage the returned component's lifetime, or mark the system non-looping for one-shots. - GPU sim can't drive gameplay — GPU particle data isn't readily read back to the CPU; collision/events that gameplay must react to should use CPU emitters (or Niagara → gameplay via the data interface), not GPU.
- Module order bugs — a Force/Velocity module placed before the one that initializes the value reads zero. Mind the top-to-bottom stack order.
References
- Primary docs: "Overview of Niagara Effects"
(
https://dev.epicgames.com/documentation/en-us/unreal-engine/overview-of-niagara-effects-for-unreal-engine) and theUNiagaraFunctionLibrary/UNiagaraComponentAPI. Add theNiagaramodule to*.Build.csfor C++ access.
Related skills
shader-programming— material/shader concepts for particle materials.unreal-cpp-gameplay— spawning effects from gameplay code and module setup.unreal-blueprints— triggering effects from visual scripts.
FAQ
What does the unreal-niagara skill do?
Create and control VFX in Unreal Engine 5 with Niagara: systems and emitters, modules and the spawn/update stages, exposed User parameters, and spawning or driving effects from Blueprints or C++. Use when building particle effects, NS/NE assets, spawning a Niagara system at runtime, setting User parameters, or when the user mentions Niagara, VFX, or a particle system in Unreal.
How do I install unreal-niagara?
Run npx skills add https://github.com/gamedev-skills/awesome-gamedev-agent-skills --skill unreal-niagara in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/unreal-niagara/ (personal) or .claude/skills/unreal-niagara/ (project).
Which AI agents can use unreal-niagara?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is unreal-niagara safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains unreal-niagara?
It is published by gamedev-skills in gamedev-skills/awesome-gamedev-agent-skills. It has 5,432 recorded installs.
More from gamedev-skills/awesome-gamedev-agent-skills
game-feel
gamedev-skills/awesome-gamedev-agent-skills
Add "juice" and game feel that makes actions satisfying — screen shake, hit-stop/freeze frames, tweened/eased motion, squash & stretch, knockback, and layered audio-visual feedback — as engine-neutral techniques that pair with the detected engine's tween, particle, and camera APIs. Use when the user mentions game feel, juice, "make it feel good/punchy", screen shake, hit stop, screen freeze, easing, squash and stretch, impact frames, or feedback/polish on hits, jumps, pickups, and deaths.
game-ui-ux
gamedev-skills/awesome-gamedev-agent-skills
Design and build game UI/UX — HUDs, menus, and overlays — that survive every screen: anchor- based responsive layout, resolution/aspect scaling and safe areas, keyboard/gamepad focus navigation, a screen/menu state stack, and event-driven (not polled) HUD updates. Engine- neutral patterns that pair with the detected engine's UI skill. Use when the user mentions HUD, health bar, main menu, pause menu, settings screen, UI layout, anchors, UI scaling, aspect ratio, safe area, controller/keyboard menu navigation, or wiring UI to game state.
level-design
gamedev-skills/awesome-gamedev-agent-skills
Design and build playable levels — the blockout/whitebox-to-playable workflow, player metrics and grid layout, pacing and flow (tension/rest curve), gating and the critical path, and encounter design. Engine-neutral practice. Use when the user mentions level design, blockout/whitebox/greybox, level layout, level pacing, encounter design, or the critical path through a level.
performance-optimization
gamedev-skills/awesome-gamedev-agent-skills
Find and fix game performance problems methodically — measure with the engine profiler first, reason about the frame-time budget, locate the CPU-vs-GPU bottleneck, then apply the right fix: object pooling, draw-call batching, fewer allocations/GC spikes, and asset budgets. Engine- neutral method that pairs with each engine's profiler. Use when the user mentions performance, optimize, low/dropping FPS, frame drops, stutter, lag, profiler, frame budget, draw calls, batching, garbage collection/GC spikes, object pooling, or "the game runs slow".
game-ai
gamedev-skills/awesome-gamedev-agent-skills
Design NPC and enemy decision-making with finite state machines, behavior trees, steering behaviors, and A pathfinding — engine-neutral algorithms that pair with the detected engine's navigation API. Use when building enemy AI, an FSM or behavior tree, steering/flocking, or pathfinding, or when the user mentions state machine, behavior tree, blackboard, A, navmesh, seek, or patrol/chase.
audio-design
gamedev-skills/awesome-gamedev-agent-skills
Implement game audio practice — bus/mixer architecture and gain in decibels, ducking (sidechain), adaptive/dynamic music via layering and re-sequencing, SFX variation, and beat synchronization. Engine-neutral. Use when the user mentions audio mixing, audio buses, adaptive/dynamic music, ducking, SFX variation, music layers, or syncing gameplay to the beat.
Popular ai & agents skills
google-agents-cli-publish
google/agents-cli
This skill should be used when the user wants to "publish an agent", "publish my ADK agent", "register an agent with Gemini", "publish to Gemini" (formerly Gemini Enterprise), or needs guidance on the agents-cli publish gemini command. Also use when the user wants to "manage agents in Agent Registry", "list/update/delete registered agents", or "register an MCP server". Covers ADK vs A2A registration modes, programmatic and interactive usage, flag reference, auto-detection from deployment metadata, Agent Registry fleet management, and troubleshooting. Part of the agents-cli skills suite. Do NOT use for deployment (use google-agents-cli-deploy).
google-agents-cli-eval
google/agents-cli
This skill should be used when the user wants to "run an evaluation", "evaluate my agent", "evaluate my ADK agent", "write an eval dataset", "analyze eval failures", "compare eval results", "optimize agent", or needs guidance on the Gemini platform eval methodology and the Quality Flywheel. Covers eval metrics, dataset schema, LLM-as-judge scoring, and common failure causes. Applies to any agents-cli project, whatever framework the agent is written in. Do NOT use for agent API code patterns (ADK: use google-agents-cli-adk-code), deployment (use google-agents-cli-deploy), or project scaffolding (use google-agents-cli-scaffold).
skill-creator
anthropics/skills
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.
codex-pet
prime-skills/runcomfy-agent-skills
Codex Pet generator on RunComfy. Build a Codex-compatible Codex Pet spritesheet.webp + pet.json from a single reference image, drop it into ${CODEXHOME:-$HOME/.codex}/pets/ / and Codex picks it up as a custom Codex Pet next to the 8 built-ins. This skill produces the exact Codex Pet atlas Codex expects (1536x1872 PNG/WebP, 8 cols x 9 rows, 192x208 cells, 9 animation states — idle, running-right, running-left, waving, jumping, failed, waiting, running, review). Calls OpenAI GPT Image 2 edit ONCE via the local RunComfy CLI as runcomfy run openai/gpt-image-2/edit to produce a canonical Codex Pet pose, then assembles all 9 animation rows programmatically with ImageMagick micro-transforms — no Codex Pro, no $imagegen, no OPENAIAPIKEY required, only RUNCOMFYTOKEN. Triggers on "codex pet", "create codex pet", "make codex pet", "hatch codex pet", "/hatch image", "desktop pet codex", "codex pets", "spritesheet.webp", or any explicit ask to build a custom pet for OpenAI Codex.
full-output-enforcement
leonxlnx/taste-skill
Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.
executing-plans
obra/superpowers
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available