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Build Game Monster System

CommunityPopular
MengTo
build-game-monster-system

Build, integrate, audit, or refactor rigged monsters for Three.js and web action games. Use for monster asset contracts, procedural or imported creature rigs, semantic joints and sockets, hurtboxes and attack volumes, combat animation states, enemy-runtime adapters, LODs, deterministic review fixtures, and validating that every monster follows one shared system.

Overview

PublisherMengTo
RepositorySkills
Skill namebuild-game-monster-system
Stars
6.1K
Forks
717
Bundled files
2
LicenseMIT
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.

  • 2 bundled files

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

  • Open source

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

Installation

Install the Build Game Monster System 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.
  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/MengTo/Skills.git /tmp/Skills
mkdir -p .claude/skills
cp -r /tmp/Skills/agent-skills/game-development/build-game-monster-system .claude/skills/build-game-monster-system
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Build Game Monster System 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 Build Game Monster System 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 Build Game Monster System 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.

Build Game Monster System

Build monsters as gameplay-compatible runtime assets, not decorative meshes.

Establish the contract

Read references/monster-contract.md before implementation or audit. Check the real game content model, combat events, enemy state machine, collision API, camera distance, and asset loader before extending the contract.

Use related skills when applicable:

  • Use img2threejs for image-driven procedural reconstruction and its staged visual gates.
  • Use build-hybrid-game-assets to choose procedural versus imported representation and record provenance/budgets.
  • Use tune-enemy-ai for perception, intent, movement, and behavior transitions.
  • Use design-action-combat for startup/active/recovery timing and authoritative contact.

Separate four layers

  1. MonsterDefinition: serializable authored facts, tags, scale, stats, attacks, locomotion, asset provenance, and budgets.
  2. MonsterRig: semantic transform hierarchy, joints, sockets, secondary-motion anchors, materials, and LOD visuals.
  3. MonsterRuntime: current state, timers, target intent, health/posture, cooldowns, and authoritative combat events.
  4. MonsterViewAdapter: drives rig poses, VFX, audio, visibility, and LOD from runtime state; never decides hits from rendered pose.

Do not duplicate authored combat values in the rig or UI.

Build the rig

  • Use +Y up, +Z forward, meters, and a ground-contact root.
  • Keep root -> motion -> body stable across every monster and LOD.
  • Parent limb segments as real joint chains so shoulder/hip motion propagates through elbows/knees to wrists/ankles.
  • Name semantic equivalents for nonhumanoids; do not fake absent anatomy.
  • Provide sockets for attack origins, VFX, audio, targeting, ground contact, attachments, and death effects.
  • Keep visual meshes out of physics by default. Provide simple solid, navigation, hurt, attack, and trigger shapes separately.
  • Preserve root, joints, sockets, collision, and animation state across LOD changes.

Connect behavior and combat

Support at least idle, investigate, pursue, reposition, windup, attack, recover, stagger, and defeated. Each attack definition must declare startup, active, recovery, cooldown, contact shape/socket, damage/posture output, facing rule, and interrupt/cancel policy.

Drive contacts from authoritative action IDs and collision events. Animation may expose a normalized phase, but it must not create damage by itself.

Compose testable movesets

  • Author movesets as serializable sequences of intent states and attack IDs. Keep attack timing in the attack definitions; the moveset references it instead of copying it.
  • Compile attack steps into explicit startup, active, and recovery phases.
  • Provide a pure sampler from (movesetId, elapsed) to state, attack, normalized phase, active flag, interruptibility, and stable action ID.
  • Give every loop cycle a new action ID while preserving one ID across an attack's startup, active, and recovery phases.
  • Expose queryable or seeded fixtures for the midpoint and boundaries of every phase so reviewers can freeze and reproduce them without campaign playthrough.

Verify conformance

  • Add deterministic fixtures for all required states, each attack phase, interrupt/stagger, death, LOD switching, and reset.
  • Test moveset timeline continuity, exact active-window boundaries, full attack coverage, per-action ID stability, and per-loop ID renewal.
  • Test joint propagation, socket stability, collider coverage, single-contact idempotence, and disposal.
  • Render the monster at real encounter distance in the in-app browser.
  • Measure triangles, draw calls, textures, frame time, and mobile pixel-ratio behavior.
  • Fail the asset if it has floating attachments, missing mandatory states, pose-derived damage, LOD socket drift, or unbounded resource cost.

Report whether the monster fully conforms, conforms with documented exceptions, or needs a new archetype capability added to the shared contract.

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 Build Game Monster System AI skill do?

Build, integrate, audit, or refactor rigged monsters for Three.js and web action games. Use for monster asset contracts, procedural or imported creature rigs, semantic joints and sockets, hurtboxes and attack volumes, combat animation states, enemy-runtime adapters, LODs, deterministic review fixtures, and validating that every monster follows one shared system.

Why use Build Game Monster System on TypingMind?

Because you install it once and use it with any model. Build Game Monster System 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 Build Game Monster System in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MengTo/Skills/tree/main/agent-skills/game-development/build-game-monster-system. 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 Build Game Monster System?

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 Build Game Monster System?

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

Is the Build Game Monster System AI skill free?

Yes. It is published on GitHub by MengTo under the MIT 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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