bevy-ecs-expert
Master Bevy's Entity Component System (ECS) in Rust, covering Systems, Queries, Resources, and parallel scheduling.
Best use case
bevy-ecs-expert is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Master Bevy's Entity Component System (ECS) in Rust, covering Systems, Queries, Resources, and parallel scheduling.
Teams using bevy-ecs-expert should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/bevy-ecs-expert/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How bevy-ecs-expert Compares
| Feature / Agent | bevy-ecs-expert | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Master Bevy's Entity Component System (ECS) in Rust, covering Systems, Queries, Resources, and parallel scheduling.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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`.
```rust
#[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.
```rust
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).
```rust
#[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.
```rust
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
```rust
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.
```rust
fn enemy_behavior(
query: Query<&Transform, (With<Enemy>, Without<Dead>)>,
) {
for transform in &query {
// Only active enemies processed here
}
}
```
## Best Practices
- ✅ **Do:** Use `Query` filters (`With`, `Without`, `Changed`) to reduce iteration count.
- ✅ **Do:** Prefer `Res` over `ResMut` when read-only access is sufficient to allow parallel execution.
- ✅ **Do:** Use `Bundle` to spawn complex entities atomically.
- ❌ **Don't:** Store heavy logic inside Components; keep them as pure data.
- ❌ **Don't:** Use `RefCell` or 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.Related Skills
zod-validation-expert
Expert in Zod — TypeScript-first schema validation. Covers parsing, custom errors, refinements, type inference, and integration with React Hook Form, Next.js, and tRPC.
vercel-ai-sdk-expert
Expert in the Vercel AI SDK. Covers Core API (generateText, streamText), UI hooks (useChat, useCompletion), tool calling, and streaming UI components with React and Next.js.
typescript-expert
TypeScript and JavaScript expert with deep knowledge of type-level programming, performance optimization, monorepo management, migration strategies, and modern tooling.
threat-modeling-expert
Expert in threat modeling methodologies, security architecture review, and risk assessment. Masters STRIDE, PASTA, attack trees, and security requirement extraction. Use for security architecture r...
tanstack-query-expert
Expert in TanStack Query (React Query) — asynchronous state management. Covers data fetching, stale time configuration, mutations, optimistic updates, and Next.js App Router (SSR) integration.
service-mesh-expert
Expert service mesh architect specializing in Istio, Linkerd, and cloud-native networking patterns. Masters traffic management, security policies, observability integration, and multi-cluster mesh con
prisma-expert
Prisma ORM expert for schema design, migrations, query optimization, relations modeling, and database operations. Use PROACTIVELY for Prisma schema issues, migration problems, query performance, re...
odoo-sales-crm-expert
Expert guide for Odoo Sales and CRM: pipeline stages, quotation templates, pricelists, sales teams, lead scoring, and forecasting.
odoo-orm-expert
Master Odoo ORM patterns: search, browse, create, write, domain filters, computed fields, and performance-safe query techniques.
nosql-expert
Expert guidance for distributed NoSQL databases (Cassandra, DynamoDB). Focuses on mental models, query-first modeling, single-table design, and avoiding hot partitions in high-scale systems.
nestjs-expert
Nest.js framework expert specializing in module architecture, dependency injection, middleware, guards, interceptors, testing with Jest/Supertest, TypeORM/Mongoose integration, and Passport.js auth...
n8n-validation-expert
Interpret validation errors and guide fixing them. Use when encountering validation errors, validation warnings, false positives, operator structure issues, or need help understanding validation results. Also use when asking about validation...