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Data-driven Three.js enemy systems v1.0.0

Use this resource to build a reusable, data-driven enemy system

New

  • 363 downloads
  • 150 likes
  • 150 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install data-driven-enemy-systems

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent separates content (immutable definitions) from runtime state, describes moves as data with their contact windows, then adds an enemy against that contract. It proves the system with deterministic cases and a playthrough test.

Mostly picked by

Updated November 2, 2026

Card for the “Data-driven Three.js enemy systems” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: content and state separation, contracts and validation
  • agents/openai.yaml: agent configuration

Good fit for

  • You add enemies by hand and the code gets duplicated
  • Your enemy moves are hard-coded

Not for

    Tags

    • enemies
    • data
    • three.js
    • combat

    About

    You say

    “Turn my three enemies into shared data definitions, with their moves and contact windows.”

    Card for the “Data-driven Three.js enemy systems” skill

    Skill published by MengTo under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to build a reusable, data-driven enemy system
    3. Review and adjust the result

    Content preview

    Files

    • agents/openai.yaml0.3 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md4.4 KB

    Origin and licence

    Listed unmodified

    Author
    MengTo
    Source
    github.com/MengTo/Skills/tree/a45892d2fdadab75b31fb16abecc02f101b31c43/agent-skills/game-development/build-threejs-enemy-systems
    Licence
    MIT

    Notice

    « build-threejs-enemy-systems » (MengTo, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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