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Godot Resource Data Patterns

Community
thedivergentai
godot-resource-data-patterns

Expert blueprint for data-oriented design using Resource/RefCounted classes (item databases, character stats, reusable data structures). Covers typed arrays, serialization, nested resources, and resource caching. Use when implementing data systems OR inventory/stats/dialogue databases. Keywords Resource, RefCounted, ItemData, CharacterStats, database, serialization, @export, typed arrays.

Overview

Publisherthedivergentai
RepositoryGD-Agentic-Skills
Skill namegodot-resource-data-patterns
Stars
782
Forks
48
Bundled files
15
LicenseLGPL-3.0
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.

  • 15 bundled files

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

  • Open source

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

Installation

Install the Godot Resource Data Patterns 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.
    https://github.com/thedivergentai/GD-Agentic-Skills/tree/main/skills/godot-resource-data-patterns
  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/thedivergentai/GD-Agentic-Skills.git /tmp/GD-Agentic-Skills
mkdir -p .claude/skills
cp -r /tmp/GD-Agentic-Skills/skills/godot-resource-data-patterns .claude/skills/godot-resource-data-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Godot Resource Data Patterns 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 Godot Resource Data Patterns 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 Godot Resource Data Patterns 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.

NEVER Do in Resource Design

  • NEVER modify resource instances directly — Without .duplicate(), changing a value (like HP) modifies the shared .tres for everyone.
  • NEVER use untyped arrays in Resources — @export var items: Array allows logic errors. Always use Array[ResourceClass] for type safety.
  • NEVER store Node references in Resources — Objects that only exist in a specific SceneTree cannot be serialized. Store NodePath or UID.
  • NEVER perform heavy calculations in Resource getters/setters — Resources should be data containers. Offload logic to Nodes or specialized RefCounted classes.
  • NEVER skip ResourceSaver.save() error checks — Saving can fail due to permissions, disk space, or path issues. Always check the return code.
  • NEVER use Resources for high-frequency runtime data — If a value changes 60 times a second (like velocity), a standard variable is faster than a Resource property.
  • NEVER allow circular Resource references — If A.tres references B.tres and B.tres references A.tres, the engine may crash on load.
  • NEVER forget the _init defaults — Resources created via new() or in the Inspector need default values in their constructor to be editable.
  • NEVER share a Resource between entities if they need unique state — Use resource_local_to_scene = true or duplicate() for components.
  • NEVER use .tres for massive datasets — If you have 10,000 items, a JSON or custom binary format might be more efficient than individualized Resource files.

Decision Tree: Resource vs RefCounted vs Node

TypeUse whenDisk / Inspector
ResourceShared definitions, saveable data, @export authoring.tres/.res, Inspector ✅
RefCountedTemporary runtime calcs, non-persistent helpersNo disk / weak Inspector
NodeScene entities with process/signals in the treeScene files

Use Resources for: item defs, stats templates, abilities, dialogue tables, enemy configs. Use RefCounted for: damage calc scratchpads, ephemeral state machines, non-saved utilities.

Available Scripts — MANDATORY by Scenario

ScenarioMANDATORY read
Per-instance mutable stats (HP) sharing a base .tresresource_local_to_scene.gd
Nested Item → Weapon → StatusEffect trees / save whole graphnested_resource_serialization.gd
Many entities sharing one config (flyweight)resource_flyweight_caching.gd / flyweight_enemy_config.gd
Custom @export data containerscustom_data_resource.gd
Reactive stats with signalscharacter_stats_resource.gd
Inventory arrays of Resourcesresource_based_inventory.gd
Save Resource trees to diskresource_save_system.gd — check Error
Preload / O(1) cache before playresource_preloading_strategy.gd
Runtime Resource.new() lootdynamic_resource_generation.gd
Validate / pool / factoryresource_validator.gd / resource_pool.gd / data_factory_resource.gd

Expert WHY (critical)

CAUTION: Runtime HP/mana on a shared .tres without duplicate(true) or resource_local_to_scene mutates the asset on disk — the "damaging one damages all" bug.

  • .res vs .tres: binary .res in production; .tres for design diffs; nested trees save with parent via ResourceSaver.
  • Cache: ResourceLoader.CACHE_MODE_REPLACE after external edits bypass stale cache.
  • Local-to-scene / duplicate: mandatory for per-instance components — resource_local_to_scene.gd.
  • 10k+ rows: individualized .tres files lose to JSON/binary — see Official Docs binary serialization.

Deep dive (load on demand)

Pattern 1–7 walkthroughs (ItemData, databases, RefCounted calcs, directory scan, O(1) cache) — references/resource-patterns-deep.md. Implement nested weapons from nested_resource_serialization.gd, not memory.

Reference

Progressive disclosure: open Official Documentation links only when researching a specific API; load Related Skills when routing to a peer domain — do not preload the whole lattice.

Official Documentation

  • Resources — Custom Resource scripts, .tres/.res, sharing vs duplicate(), and resource_local_to_scene for per-instance state.
  • Data preferences — When to store data in Resources vs dictionaries, ConfigFile, or plain scripts for inspector and serialization needs.
  • Resource — duplicate, emit_changed, resource_path, and local-to-scene flags used by every data container pattern here.
  • ResourceLoader — Cached load / threaded requests that power flyweight sharing and preload caches.
  • ResourceSaver — Persist custom Resources to user:// or res:// and always check the returned Error.
  • RefCounted — Lightweight runtime objects when you need refcounting without disk serialization or Inspector exports.
  • Saving games — Broader save strategies that pair with ResourceSaver for slot-based .tres state.
  • Background loading — Threaded ResourceLoader polling so databases and VFX packs do not hitch the main thread.
  • GDScript exports — Typed @export / Array[T] so item and quest Resources stay Inspector-safe.
  • Binary serialization API — Compact FileAccess packing when thousands of rows outgrow individualized .tres files.
  • Scene organization — Why shared Resources live outside scene trees and how component scenes compose exported data.

Related Skills

Prerequisites
  • godot-project-foundations — Project layout, import, and res:// hygiene before authoring shared .tres databases.
  • godot-gdscript-mastery — class_name, typed arrays, setters, and @tool discipline every custom Resource script depends on.
Complements
  • godot-signal-architecture — Ownership and fan-out for Resource changed / custom signals that drive reactive UI and stats.
  • godot-save-load-systems — Slot versioning, migration, and secure paths that wrap ResourceSaver/ResourceLoader save flows.
  • godot-scene-management — Packed scenes and threaded loads that consume preloaded Resource caches without hitch spikes.
  • godot-ability-system — Ability/buff definitions are Resource data; this skill owns the container and serialization patterns.
  • godot-dialogue-system — Dialogue graphs and line tables are nested Resources that reuse typed-array and save patterns here.
  • godot-performance-optimization — Flyweight sharing, pooling RefCounted payloads, and when .res beats text .tres at scale.
Downstream / consumers
  • godot-inventory-system — Item stacks, equipment, and bags consume ItemData / inventory Resource arrays defined here.
  • godot-procedural-generation — Generators that instantiate loot, quests, and configs via Resource.new() at runtime.
  • godot-monte-carlo-balancer — .tres stats and economy tables are the preferred extract source — build the data layer before regex farms.
Master
  • godot-master — Library router and mirrored module entry for cross-skill discovery.

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 Godot Resource Data Patterns AI skill do?

Expert blueprint for data-oriented design using Resource/RefCounted classes (item databases, character stats, reusable data structures). Covers typed arrays, serialization, nested resources, and resource caching. Use when implementing data systems OR inventory/stats/dialogue databases. Keywords Resource, RefCounted, ItemData, CharacterStats, database, serialization, @export, typed arrays.

Why use Godot Resource Data Patterns on TypingMind?

Because you install it once and use it with any model. Godot Resource Data Patterns 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 Godot Resource Data Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedivergentai/GD-Agentic-Skills/tree/main/skills/godot-resource-data-patterns. 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 Godot Resource Data Patterns?

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 Godot Resource Data Patterns?

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

Is the Godot Resource Data Patterns AI skill free?

Yes. It is published on GitHub by thedivergentai under the LGPL-3.0 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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