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Godot Navigation Pathfinding

Community
thedivergentai
godot-navigation-pathfinding

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.

Overview

Publisherthedivergentai
RepositoryGD-Agentic-Skills
Skill namegodot-navigation-pathfinding
Stars
782
Forks
48
Bundled files
18
LicenseLGPL-3.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 18 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by thedivergentai on GitHub. Read the source before you install it.

Installation

Install the Godot Navigation Pathfinding AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/thedivergentai/GD-Agentic-Skills/tree/main/skills/godot-navigation-pathfinding
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/thedivergentai/GD-Agentic-Skills.git /tmp/GD-Agentic-Skills
mkdir -p .claude/skills
cp -r /tmp/GD-Agentic-Skills/skills/godot-navigation-pathfinding .claude/skills/godot-navigation-pathfinding
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Godot Navigation Pathfinding in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Godot Navigation Pathfinding on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Godot Navigation Pathfinding is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

NEVER Do in Navigation & Pathfinding

  • NEVER set target_position before awaiting physics frame — 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 — 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() — Calling get_next_path_position() after reaching target = stale path, AI walks to old position.
  • NEVER use avoidance_enabled without setting radius — 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 — Setting target 60x/sec = path recalculation spam. Use timer (0.2s intervals) or distance threshold for updates.
  • NEVER assume path exists — 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 — Use NavigationServer3D/2D RIDs directly to bypass node overhead.
  • NEVER call get_path() every frame — 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 — Use costs to make AI prefer logical paths (roads over water) instead of just shortest geometric distance.
  • NEVER ignore agent_set_avoidance_callback — Always use the callback for safe velocity computation to avoid synchronization issues and "jittery" movement.

Decision Tree → 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).

NeedScript
Runtime / procedural bake without hitchMANDATORY async_dynamic_baking.gd
Agent stuck / jitter recoveryMANDATORY agent_stuck_detection.gd
High-count RVO without nodesMANDATORY low_level_avoidance.gd
Moving platforms / dynamic regionsdynamic_nav_manager.gd
RID-only maps/regionsserver_navigation_setup.gd
Reused path query objectsmemory_optimized_queries.gd
Terrain enter/travel coststerrain_cost_manager.gd
Projectiles as RVO obstaclesmoving_obstacle_server.gd
Links (jump/teleport/elevator)nav_link_traversal.gd
Walk / fly / swim layerslayer_mask_navigation.gd
Crowd formation offsetsgroup_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 benchmarknavmesh_profiler.gd
Smart agent wrappersmart_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:

gdscript
# Threshold retarget — 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 — 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 — do not preload the whole lattice.

Official Documentation

Related Skills

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

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Godot Navigation Pathfinding AI skill do?

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.

Why use Godot Navigation Pathfinding on TypingMind?

Because you install it once and use it with any model. Godot Navigation Pathfinding is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Godot Navigation Pathfinding in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedivergentai/GD-Agentic-Skills/tree/main/skills/godot-navigation-pathfinding. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Godot Navigation Pathfinding?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Godot Navigation Pathfinding?

As many as you like. As long as a model supports skills, you can use Godot Navigation Pathfinding with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Godot Navigation Pathfinding AI skill free?

Yes. It is published on GitHub by thedivergentai under the LGPL-3.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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