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/godot-navigation-pathfinding

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Expert blueprint for AI pathfinding (tower defense, RTS, stealth) using NavigationAgent2D/3D, NavigationServer, avoidance, and dynamic navigation mesh generation. Use when implementing enemy AI, NPC movement, or obstacle avoidance. Keywords NavigationAgent2D, NavigationRegion2D, pathfinding, NavigationServer, avoidance, baking, NavigationObstacle.

Use this Skill: https://skilld.dev/gh/thedivergentai/gd-agentic-skills/godot-navigation-pathfinding

This session only. Nothing lands on disk.

SKILL.md

β‰ˆ95 tokens always: the name and description. β‰ˆ3.1k when used: this file. β‰ˆ1.6k more on demand in 3 files.

NEVER Do in Navigation & Pathfinding

  • NEVER set target_position before awaiting physics frame β€” NavigationServer not ready in _ready()? Path fails silently. MUST call_deferred() then await get_tree().physics_frame.
  • NEVER use NavigationRegion2D.bake_navigation_polygon() at runtime β€” Synchronous baking freezes game for 100+ ms. Use NavigationServer.bake_from_source_geometry_data_async() for stutter-free updates.
  • NEVER forget to check is_navigation_finished() β€” Calling get_next_path_position() after reaching target = stale path, AI walks to old position.
  • NEVER use avoidance_enabled without setting radius β€” Default radius = 0, agent passes through others. Set nav_agent.radius = collision_shape.radius for proper avoidance.
  • NEVER poll target_position every frame for chase AI β€” Setting target 60x/sec = path recalculation spam. Use timer (0.2s intervals) or distance threshold for updates.
  • NEVER assume path exists β€” Target unreachable (blocked by walls)? get_next_path_position() returns invalid. Check is_target_reachable() or validate path length.
  • NEVER use heavy node-based navigation for thousands of simple entities β€” Use NavigationServer3D/2D RIDs directly to bypass node overhead.
  • NEVER call get_path() every frame β€” Use query_path() with reused NavigationPathQueryResult objects to prevent massive heap allocation and GC pressure.
  • NEVER leave 'enter_cost' at 0 for high-penalty areas β€” Use costs to make AI prefer logical paths (roads over water) instead of just shortest geometric distance.
  • NEVER ignore agent_set_avoidance_callback β€” Always use the callback for safe velocity computation to avoid synchronization issues and "jittery" movement.

Decision Tree β†’ Scripts

MANDATORY for the chosen path. Do NOT Load editor-intro / Official Docs bootstrap recipes from this skill body (use Reference links when you need first-time region setup).

Need Script
Runtime / procedural bake without hitch MANDATORY async_dynamic_baking.gd
Agent stuck / jitter recovery MANDATORY agent_stuck_detection.gd
High-count RVO without nodes MANDATORY low_level_avoidance.gd
Moving platforms / dynamic regions dynamic_nav_manager.gd
RID-only maps/regions server_navigation_setup.gd
Reused path query objects memory_optimized_queries.gd
Terrain enter/travel costs terrain_cost_manager.gd
Projectiles as RVO obstacles moving_obstacle_server.gd
Links (jump/teleport/elevator) nav_link_traversal.gd
Walk / fly / swim layers layer_mask_navigation.gd
Crowd formation offsets group_avoidance_formations.gd
Server RVO crowd agent (node-less) crowd_agent_3d.gd
Dynamic navmesh carve (impact holes) nav_mesh_carver_3d.gd
Bake-time benchmark navmesh_profiler.gd
Smart agent wrapper smart_navigation_agent.gd

Chase / Retarget Rule (never contradict NEVER)

Do not assign target_position every physics frame. Retarget on a timer (~0.2s) or when the chased body moves beyond a distance threshold:

# Threshold retarget β€” not per-frame path spam
const RETARGET_DIST := 1.5
var _last_target: Vector3

func _physics_process(_delta: float) -> void:
    var desired := prey.global_position
    if desired.distance_to(_last_target) >= RETARGET_DIST:
        nav_agent.target_position = desired
        _last_target = desired
    if nav_agent.is_navigation_finished():
        return
    var next := nav_agent.get_next_path_position()
    velocity = (next - global_position).normalized() * speed
    move_and_slide()

Available Scripts

async_dynamic_baking.gd

bake_from_source_geometry_data_async β€” parse on main, bake off-thread.

agent_stuck_detection.gd

Distance-over-time stall detection and recovery.

low_level_avoidance.gd

Server-side RVO agents + avoidance callbacks.

dynamic_nav_manager.gd

Runtime navmesh updates for moving platforms.

server_navigation_setup.gd

Node-less maps/regions via NavigationServer RIDs.

memory_optimized_queries.gd

Reuse path query parameter/result objects.

terrain_cost_manager.gd

enter_cost / travel_cost for preferred routes.

moving_obstacle_server.gd

Dynamic RVO obstacles without full rebake.

nav_link_traversal.gd

NavigationLink jump/teleport/elevator handling.

layer_mask_navigation.gd

Multi-domain navigation layers (walk/fly/swim).

group_avoidance_formations.gd

Leader-relative offsets to reduce clumping.

smart_navigation_agent.gd

Production NavigationAgent wrapper patterns.

Expert Pointers

Deep dives (on demand)

Reference

Progressive disclosure: open Official Documentation links only when researching a specific API; load Related Skills when routing work to a peer domain β€” do not preload the whole lattice.

Official Documentation

Related Skills

Prerequisites
  • godot-characterbody-2d β€” Path corners become CharacterBody velocity via move_and_slide; agent scripts assume a body parent.
  • godot-2d-physics β€” Collision layers/shapes still block bodies; navmesh is not a physics substitute for walls and triggers.
  • godot-physics-3d β€” 3D agents share the same split: NavigationServer paths vs RigidBody/CharacterBody collision and slopes.
Complements
Downstream / consumers
  • godot-genre-rts β€” Unit move commands and RVO crowds consume NavigationAgent/Server patterns directly.
  • godot-genre-tower-defense β€” Lane/path enemies and dynamic blockers depend on regions, costs, and obstacle updates.
  • godot-genre-stealth β€” Guard patrols and investigate points are NavigationAgent routes gated by detection state.
  • godot-combat-system β€” Engage/kite/flank movement issues new targets and stuck recovery on top of paths.
  • godot-monte-carlo-balancer β€” Simulate chase reachability, travel-time bands, and crowd pressure when tuning AI difficulty.
Master
  • godot-master β€” Library router and mirrored module entry for this Domain Skill.

Source: SKILL.md on GitHub

1 warning16d4 checks Β· Risk SAFE
  • Gen Agent Trust Hub16d

    The skill provides a collection of GDScript blueprints and best practices for implementing navigation and pathfinding in the Godot engine. It contains implementation patterns for agents, dynamic navmesh baking, and performance optimization using the NavigationServer API. No security issues were detected.

  • Socket16d

    No alerts

  • Snyk16d

    Risk: LOW Β· No issues

  • Runlayer7mo

    3/3 files flagged

Signed by skilld at 9d6e91e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 3 weeks ago.

Activeupdated 2 months ago

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