Implement behavior trees in Godot using the Beehave GDScript addon with composites, decorators, and blackboards.
npx skills add https://github.com/jame581/GodotPrompter --skill beehave
Please help me install this Agent Skill. Skill: beehave Source: https://github.com/jame581/GodotPrompter/tree/main/skills/beehave Command: npx skills add https://github.com/jame581/GodotPrompter --skill beehave
Building game AI in Godot often means choosing between hand-rolled state machines and heavyweight behavior tree frameworks. This Skill guides AI agents through the Beehave addon, a pure-GDScript behavior tree library, so agents get correct tree composition, leaf contracts, and blackboard patterns without a custom engine build.
Ask the agent to add a Beehave behavior tree to an enemy character with an attack-when-in-range sequence and a patrol fallback action.
High-intent search queries and answers about installing and using this skill.
Add a BeehaveTree node as a child of your actor, then nest composites like SelectorComposite and SequenceComposite with custom ActionLeaf and ConditionLeaf subclasses. Each leaf overrides tick(actor, blackboard) and returns SUCCESS, FAILURE, or RUNNING.
Beehave is a pure-GDScript addon suited for GDScript-only projects wanting lightweight trees without a custom engine build. LimboAI is a C++ module offering both behavior trees and HSMs, a visual editor, better performance, and C# support.
Beehave has no official C# API and ships zero C# files. From C# you can call the GDScript API through Godot cross-language interop using Call(), but there are no typed C# classes.
Use the Blackboard, a key/value store passed to every tick() call. Call set_value, get_value with a default, and erase_value, and share one Blackboard node across multiple BeehaveTree nodes, optionally using named namespaces to avoid key collisions.
Increase tick_rate on the BeehaveTree so it evaluates every few frames instead of every frame, especially for background NPCs. Also confirm process_thread matches the actor's loop, and enable custom_monitor to track per-tree cost in the Performance panel.
Avoid Beehave for simple agents with fewer than five states, where a core-engine state machine suffices, and for projects needing C# support or combined BT and HSM, where LimboAI is the better fit.
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