Bevy 0.20 chase, patrol, and wait policy: an enum brain, a goal, a desired velocity, and a retarget timer on FixedUpdate. Use when an actor must choose a goal before movement. Paths stay on bevy-navigation. Keywords: Brain, Goal, DesiredVelocity, PatrolRoute, FixedUpdate, chase, patrol.
npx skills add https://github.com/thedivergentai/Game-Design-Agentic-Skills --skill bevy-ai-navigation
Load this when an actor must chase, patrol, or wait. This skill owns the intent and the desired velocity. Paths stay on bevy-navigation. Transform integration stays on bevy-character-movement. Line-of-sight sensors stay on bevy-spatial-queries.
Component (see bevy-state-machines for the pattern). Goal position can be your own component. No agent, radius, or layer type was opened.Resource you define. No navigation resource was opened.Update or Fixed. Use .chain() so policy runs before movement. Do not call an agent callback that writes Transform.Fixed / FixedMain when the result feeds the movement step.| Need | Owner |
| --- | --- |
| Chase vs patrol vs wait | Enum Component plus a system that writes Goal |
| Retarget throttle | Timer resource ticked on FixedUpdate |
| Crowd and avoidance | bevy-navigation |
| Bake and obstacles | bevy-navigation |
| Line of sight | bevy-spatial-queries |
Policy writes DesiredVelocity. It does not move Transform and it does not query a navmesh.
[dependencies]
bevy = "0.20"
#[derive(Clone, Copy, PartialEq, Eq, Component)]
enum Brain {
Wait,
Patrol,
Chase,
}
#[derive(Component)]
struct WaypointIndex(usize);
#[derive(Component)]
struct Goal(Vec3);
#[derive(Component)]
struct DesiredVelocity(Vec3);
#[derive(Component)]
struct Player;
#[derive(Resource)]
struct PatrolRoute {
points: Vec<Vec3>,
}
#[derive(Resource)]
struct RetargetClock(Timer);
fn tick_policy(
time: Res<Time>,
mut clock: ResMut<RetargetClock>,
route: Res<PatrolRoute>,
players: Query<&Transform, With<Player>>,
mut actors: Query<(&Brain, &Transform, &mut WaypointIndex, &mut Goal)>,
) {
clock.0.tick(time.delta());
if !clock.0.just_finished() {
return;
}
let player_pos = players.iter().next().map(|transform| transform.translation);
for (brain, transform, mut cursor, mut goal) in &mut actors {
match *brain {
Brain::Wait => goal.0 = transform.translation,
Brain::Patrol => {
if route.points.is_empty() {
continue;
}
cursor.0 = (cursor.0 + 1) % route.points.len();
goal.0 = route.points[cursor.0];
}
Brain::Chase => {
if let Some(pos) = player_pos {
goal.0 = pos;
}
}
}
}
}
fn steer(mut actors: Query<(&Transform, &Goal, &mut DesiredVelocity), With<Brain>>) {
for (transform, goal, mut velocity) in &mut actors {
let offset = goal.0 - transform.translation;
let flat = Vec3::new(offset.x, 0.0, offset.z);
velocity.0 = if flat.length_squared() < 0.05 {
Vec3::ZERO
} else {
flat.normalize() * 3.0
};
}
}
pub struct NavPolicyPlugin;
impl Plugin for NavPolicyPlugin {
fn build(&self, app: &mut App) {
app.insert_resource(PatrolRoute {
points: vec![Vec3::new(-6.0, 0.0, 0.0), Vec3::new(6.0, 0.0, 4.0)],
})
.insert_resource(RetargetClock(Timer::from_seconds(
0.4,
TimerMode::Repeating,
)))
.add_systems(FixedUpdate, (tick_policy, steer).chain());
}
}
#[derive(Component)]
struct PatrolAgent;
fn spawn_patrol(mut commands: Commands) {
commands.spawn((
PatrolAgent,
Transform::from_xyz(0.0, 0.0, 0.0),
DesiredDir(Vec3::X),
));
}
#[derive(Component)]
struct DesiredDir(Vec3);
fn hold_when_close(mut agents: Query<(&Transform, &mut DesiredDir), With<PatrolAgent>>) {
for (transform, mut desired) in &mut agents {
if transform.translation.distance(Vec3::ZERO) < 0.5 {
desired.0 = Vec3::ZERO;
}
}
}
Target: Bevy 0.20+.
Core ECS types: Component, Resource, Query, Commands, Startup, Update, Fixed / FixedMain (bevy::time), .chain(), Plugin, DefaultPlugins, MinimalPlugins. Messages and observers are an ownership slot. See bevy-events-messaging for their APIs. Systems run in parallel unless .chain() orders the ones that conflict.
| Piece | Owner | Who may mutate | Schedule |
| --- | --- | --- | --- |
| Data on one entity | Component | One system via Query | Update or FixedMain |
| One value for the whole app | Resource | One system | Startup to insert, then the schedule that reads it |
| Spawn | Commands | The spawning system | Startup for the initial world; later schedules for runtime spawn |
| Order that must not race | .chain() | The chained systems only | Same schedule |
| Plugin boundary | Plugin | build registers systems and resources | Before the app runs |
Borrow rule: two systems that both mutably query the same component must be ordered (.chain()) or split so only one writes. Unrelated systems stay parallel. That is the ECS page rule, not a guess at a system-set API.
| If you need | Do this | Do not |
| --- | --- | --- |
| Per-entity data | Component + Query | One script that owns the whole actor |
| App-wide config or clock | Resource | Copy the value onto every entity |
| Stable simulation step | FixedMain and the Fixed clock | Tie simulation to raw frame Update |
| Startup spawn | Commands in Startup | Spawn from a render system |
| Cross-system notice that is not shared state | Message or observer slot in bevy-events-messaging | A new event type invented in this file |
| An API outside the documented set | Check the official docs first | A made-up crate or API |
Load references/ecs-ownership.md for the ownership table.
/0.20.0/ in docs URLs. WHY: links stay on latest; the 0.20 target is stated once in prose..chain() orders them.Goal and DesiredVelocity; a foreign agent type would move Transform and skip the chain into movement.The library pin on bevy-master stays 0.20.0. No AI navigation module was opened. Load references/ecs-ownership.md when splitting goal writes from velocity writes. Do not load it to bake a mesh.
latest branch.Component, Resource pairing via bevy-data-resources, systems, and .chain().Take thedivergentai/bevy-ai-navigation from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.