Behavior Trees & Utility AI
/ai-behavior-trees-utility-ai
Build a behavior-tree runtime and a Utility AI system with response curves, plus hybrid agents where the behavior tree drives utility scoring.
- GitHub stars
- 2,085 (repository stars as of 2026-10-21)
- License
- Apache-2.0
- Last commit
- 2026/10/09
- By
- gamedev-skills
Part of
Awesome Gamedev Agent Skills
74 portable SKILL.md skills for Godot, Unity, Unreal, Phaser, PixiJS, three.js, Bevy, pygame, LÖVE and Roblox, with a router.
Listed from the author's README. GameSkill has not run this end to end yet. Agent support and install steps are as documented by the author.
Install
npx skills add gamedev-skills/awesome-gamedev-agent-skills --skill ai-behavior-trees-utility-aiInstalls only this skill. Add -a claude-code (puts it in .claude/skills/), -a codex or -a cursor (.agents/skills/) to choose the agent, and -g to install it for your user instead of the project.
Commands are copied from the project's README. Check the repository before running anything on your machine.
Install for a specific agent
| Agents | -a | Folder |
|---|---|---|
| Claude Code | claude-code | .claude/skills/ |
| Codex | codex | .agents/skills/ |
| Cursor | cursor | .agents/skills/ |
| Gemini CLI | gemini-cli | .agents/skills/ |
| GitHub Copilot | github-copilot | .agents/skills/ |
| OpenCode | opencode | .agents/skills/ |
| Windsurf | windsurf | .windsurf/skills/ |
Add -a <flag> to the command. These are project folders; add -g to install for your user account instead.
What you get
- A pitfalls section with the mistakes to avoid
- Bundled 4 reference docs the agent reads when needed
Good fit
- Implementing a reusable behavior-tree or utility-based decision system
- Tuning enemy/NPC decisions beyond a simple FSM
Not for
- Choosing between FSM/BT/steering or for pathfinding: use Game AI: FSM, Behavior Trees & Pathfinding instead
Try this prompt
Build a reusable behavior tree with a blackboard for my enemy, then add utility scoring to choose its attacks.About this skill
Build a production behavior-tree runtime (Blackboard, action/condition leaves, sequence/selector/parallel composites, decorators) and a Utility AI system (response curves — linear, exponential, sigmoid, quadratic — considerations, and action evaluators), plus hybrid BT-drives-Utility agents. Use when implementing a reusable behavior-tree or utility-based decision system, or tuning enemy/NPC decisions beyond a simple FSM, or when the user mentions behavior tree, blackboard, decorator, selector, sequence, tick status, utility AI, response/scoring curve, or consideration. For choosing between FSM/BT/steering or for pathfinding, use game-ai; for Unreal's BehaviorTree/Blackboard assets, use unreal-behavior-trees.
From the ai-behavior-trees-utility-ai SKILL.md in gamedev-skills/awesome-gamedev-agent-skills.
What's inside
- Architecture at a glance
- Utility scoring in one snippet
FAQ
Works well with
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