npx skills add https://github.com/sickn33/agentic-awesome-skills
ranbot-ai/awesome-skills
bevy-ecs-expert
Master Bevy's Entity Component System (ECS) in Rust, covering Systems, Queries, Resources, and parallel scheduling.
Installation
npx skills add ranbot-ai/awesome-skills --skill bevy-ecs-expert
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- First recorded snapshot · 1 installs
SKILL.md
Bevy ECS Expert
Overview
A guide to building high-performance game logic using Bevy's data-oriented ECS architecture. Learn how to structure systems, optimize queries, manage resources, and leverage parallel execution.
When to Use This Skill
- Use when developing games with the Bevy engine in Rust.
- Use when designing game systems that need to run in parallel.
- Use when optimizing game performance by minimizing cache misses.
- Use when refactoring object-oriented logic into data-oriented ECS patterns.
Step-by-Step Guide
1. Defining Components
Use simple structs for data. Derive Component and Reflect.
#[derive(Component, Reflect, Default)]
#[reflect(Component)]
struct Velocity {
x: f32,
y: f32,
}
#[derive(Component)]
struct Player;
2. Writing Systems
Systems are regular Rust functions that query components.
fn movement_system(
time: Res<Time>,
mut query: Query<(&mut Transform, &Velocity), With<Player>>,
) {
for (mut transform, velocity) in &mut query {
transform.translation.x += velocity.x * time.delta_seconds();
transform.translation.y += velocity.y * time.delta_seconds();
}
}
3. Managing Resources
Use Resource for global data (score, game state).
#[derive(Resource)]
struct GameState {
score: u32,
}
fn score_system(mut game_state: ResMut<GameState>) {
game_state.score += 10;
}
4. Scheduling Systems
Add systems to the App builder, defining execution order if needed.
fn main() {
App::new()
.add_plugins(DefaultPlugins)
.init_resource::<GameState>()
.add_systems(Update, (movement_system, score_system).chain())
.run();
}
Examples
Example 1: Spawning Entities with Require Component
use bevy::prelude::*;
#[derive(Component, Reflect, Default)]
#[require(Velocity, Sprite)]
struct Player;
#[derive(Component, Default)]
struct Velocity {
x: f32,
y: f32,
}
fn setup(mut commands: Commands, asset_server: Res<AssetServer>) {
commands.spawn((
Player,
Velocity { x: 10.0, y: 0.0 },
Sprite::from_image(asset_server.load("player.png")),
));
}
Example 2: Query Filters
Use With and Without to filter entities efficiently.
fn enemy_behavior(
query: Query<&Transform, (With<Enemy>, Without<Dead>)>,
) {
for transform in &query {
// Only active enemies processed here
}
}
Best Practices
- ✅ Do: Use
Queryfilters (With,Without,Changed) to reduce iteration count. - ✅ Do: Prefer
ResoverResMutwhen read-only access is sufficient to allow parallel execution. - ✅ Do: Use
Bundleto spawn complex entities atomically. - ❌ Don't: Store heavy logic inside Components; keep them as pure data.
- ❌ Don't: Use
RefCellor interior mutability inside components; let the ECS handle borrowing.
Troubleshooting
Problem: System panic with "Conflict" error. Solution: You are likely trying to access the same component mutably in two systems running in parallel. Use .chain() to order them or split the logic.
Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.