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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 星数
2,085
(所在仓库星数,统计于 2026-10-21)
许可证
Apache-2.0
最近提交
2026/10/09
作者
gamedev-skills

所属合集

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.

信息来自作者的 README。 GameSkill 还没完整跑过。支持的 Agent 和安装步骤以作者文档为准。

安装

Any agent (skills CLI)
npx skills add gamedev-skills/awesome-gamedev-agent-skills --skill ai-behavior-trees-utility-ai

Installs 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.

命令照搬项目 README。在本机运行前,请先看一眼仓库。

为指定 Agent 安装
Agent-a文件夹
Claude Codeclaude-code.claude/skills/
Codexcodex.agents/skills/
Cursorcursor.agents/skills/
Gemini CLIgemini-cli.agents/skills/
GitHub Copilotgithub-copilot.agents/skills/
OpenCodeopencode.agents/skills/
Windsurfwindsurf.windsurf/skills/

在命令后加 -a <参数>。以上是项目级文件夹;加 -g 则安装到你的用户目录。

包含内容

  • A pitfalls section with the mistakes to avoid
  • Bundled 4 reference docs the agent reads when needed

适合

  • Implementing a reusable behavior-tree or utility-based decision system
  • Tuning enemy/NPC decisions beyond a simple FSM

不适合

试试这条提示词

提示词
Build a reusable behavior tree with a blackboard for my enemy, then add utility scoring to choose its attacks.

关于这个 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

常见问题

搭配使用

作者标注的相关 Skills,或更适合相邻任务的 Skills。

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