Godot Genre Battle Royale logo

Godot Genre Battle Royale

Community
thedivergentai
godot-genre-battle-royale

Expert blueprint for Battle Royale games including shrinking zone/storm mechanics (phase-based, damage scaling), large-scale networking (relevancy, tick rate optimization), deployment systems (plane, freefall, parachute), loot spawning (weighted tables, rarity), and performance optimization (LOD, occlusion culling, object pooling). Use for multiplayer survival games or last-one-standing formats. Trigger keywords: battle_royale, zone_shrink, storm_damage, deployment_system, loot_spawn, networking_optimization, relevancy_system, snapshot_interpolation.

Overview

Publisherthedivergentai
RepositoryGD-Agentic-Skills
Skill namegodot-genre-battle-royale
Stars
727
Forks
43
Bundled files
16
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.

  • 16 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 Genre Battle Royale 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/thedivergentai/GD-Agentic-Skills.git /tmp/GD-Agentic-Skills
mkdir -p .claude/skills
cp -r /tmp/GD-Agentic-Skills/skills/godot-genre-battle-royale .claude/skills/godot-genre-battle-royale
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Godot Genre Battle Royale 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 Genre Battle Royale 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 Genre Battle Royale 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 (Expert Anti-Patterns)

Networking & Scale

  • NEVER sync all 100 players every frame; strictly use a Relevancy System to sync high-freq data only for players within ~100m. Far players sync at ~5Hz.
  • NEVER use TRANSFER_MODE_RELIABLE for movement data; strictly use Unreliable to prevent packet backup and network congestion.
  • NEVER focus on client-side hit detection; strictly use Authoritative Server Validation where the server confirms "Did it hit?" based on state history.
  • NEVER trust the client for game state; strictly validate all movement, looting, and inventory changes exclusively on the authoritative server.
  • NEVER run a dedicated server with visuals; strictly use Headless Mode (--headless) or dummy drivers to save massive CPU/GPU resources.
  • NEVER call RPCs before connection; strictly wait for the connected_to_server signal before attempting synchronization logic.

Mechanics & Performance

  • NEVER pick a fully random center for the Safe Zone; strictly target centers that ensure the new circle is completely contained within the current one.
  • NEVER allow "Storm Tunneling"; strictly use a Distance-to-Center calculation rather than a simple collision perimeter to prevent skips at low tick rates.
  • NEVER spawn loot without Object Pooling; strictly pre-instantiate and toggle visibility/collision to avoid GC spikes during dense spawns.
  • NEVER ignore VisibilityNotifier3D; strictly disable AnimationPlayer, _process(), and heavy AI logic for players that are not visible to the observer.
  • NEVER print in tight server loops; strictly avoid print() as console I/O is blocking and will tank server performance in high-player-count matches.

Available Scripts

MANDATORY: Read the appropriate script before implementing the corresponding pattern.

Zone / Storm

storm_system.gd

MANDATORY for any zone/storm work — phase radii, contained next-center selection, distance-to-center damage (anti-tunneling). Do not paste inline zone_manager tutorials.

Networking & Multiplayer

kill_feed_bus.gd

Global elimination signal bus with match stat tracking.

headless_branch_logic.gd

Expert dedicated server initialization that branches logic based on headless execution and server-specific feature flags.

enet_br_server.gd

High-player-capacity ENet server setup optimized for 100+ concurrent peers over UDP.

state_replication_unreliable.gd

Pattern for synchronizing player transforms via TRANSFER_MODE_UNRELIABLE to minimize network congestion in large matches.

authoritative_looting.gd

Authoritative server-side validation logic for preventing cheat-based item collection and infinite looting.

targeted_rpc_relay.gd

Optimized communication pattern using rpc_id() to target specific peers and reduce wasted packet broadcasts.

server_state_buffer.gd

Handling network jitter and out-of-order UDP packets via sequential state buffering and tick-based sorting.

Performance & Optimization

rid_loot_spawner.gd

Bypassing the node hierarchy for massive loot density. Uses RenderingServer directly to eliminate CPU overhead for item drops.

async_map_loader.gd

Non-blocking map sector streaming using ResourceLoader background threads for seamless open-world exploration.

multimesh_vegetation.gd

Drawing dense foliage and environment assets (100k+ instances) via MultiMeshInstance3D to maximize rendering performance.

threaded_ai_manager.gd

Offloading server-side bot behavior and pathfinding logic to the WorkerThreadPool to prevent main-thread stalling.

Restored from baseline

NEVER Do in Battle Royale

  • NEVER export mobile clients without the INTERNET permission — Communication will silently fail on Android/iOS if the manifest is missing the networking permission.
  • NEVER use get_var(true) on untrusted data — Deserializing arbitrary objects allows attackers to execute remote code on the server or other clients.
  • NEVER synchronize Object or Resource types over network — Use the MultiplayerSynchronizer strictly for base types (int, float, vec).
  • NEVER assume UNRELIABLE packets arrive in order — Design state interpolation carefully to handle missing or out-of-order ticks.
  • NEVER leave multiplayer_poll false without manual calling — If using custom threads, failing to call multiplayer.poll() freezes all traffic.

Core Loop

Deploy → Loot → Move with storm → Engage → Last standing.

Skill Chain (GDSkills peers only)

PhaseSkillsPurpose
1. Netgodot-multiplayer-networkingAuthoritative server, relevancy, RPCs
2. Mapgodot-3d-world-building, godot-genre-open-worldTerrain scale, streaming, HLOD
3. Itemsgodot-inventory-systemBackpack / attachments / armor
4. Combatgodot-genre-shooter, godot-combat-systemHitscan/projectile + damage validation
5. ZoneMANDATORY storm_system.gdStorm phases / DPS / contained centers
6. Balancegodot-monte-carlo-balancerZone DPS, loot rarity, TTK bands

Decision Trees (strip inline deploy/loot/zone tutorials)

Zone / Storm

NeedAction
Phase shrink, contained centers, distance DPSMANDATORY storm_system.gd
Storm wall VFXInverted SphereMesh + unshaded cull_disabled shader driven by storm radius

Loot

NeedAction
Dense dropsrid_loot_spawner.gd + pooling
Anti-cheat pickupMANDATORY authoritative_looting.gd
Tables / rarityData Resources + peer inventory — not instantiate() loops in SKILL.md

Deploy

NeedAction
Plane → freefall → parachute → groundedFinite state on player controller; server validates landing inventory
Map sectorsasync_map_loader.gd

Networking

NeedAction
100+ peersenet_br_server.gd + headless_branch_logic.gd
Movementstate_replication_unreliable.gd
RelevancyNear ~20Hz+, far ~5Hz; replication_interval / interest management
Targeted messagestargeted_rpc_relay.gd
Jitter bufferserver_state_buffer.gd

Advanced (keep elite, no deploy/loot re-tutorials)

Lag Compensation

Server keeps transform history; validate client hit timestamps against rewound poses (authoritative). Pair with shooter/combat peers.

Delta-Patching

MultiplayerSynchronizer + REPLICATION_MODE_ON_CHANGE for health/inventory; ALWAYS only for hot transforms. Cap with delta_interval.

Zone Visualizer

Unshaded, cull_disabled spatial shader on inverted sphere scaled by storm_system.gd.

Common Pitfalls

  1. Too much loot → pool + RID spawner
  2. Camping → storm forces movement (storm_system.gd)
  3. Client hit authority → server validate with history

Expert knowledge (on demand)

LLM-ignorance rule: If a general agent would not know it before reading, load the reference — never delete expert deltas.

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

  • High-level multiplayer — RPC authority, peer lifecycle, and visibility-aware sync patterns for 100-player relevancy instead of full-mesh broadcasts.
  • ENetMultiplayerPeer — UDP host/client peer sized for high concurrent match populations without TCP head-of-line blocking.
  • MultiplayerPeer — Reliable vs unreliable/unordered transfer modes so movement snapshots never back up the channel.
  • MultiplayerSynchronizer — Property replication, replication_interval / on-change deltas, and per-peer visibility filters for interest management.
  • MultiplayerSpawner — Spawn/despawn replication for players, loot drops, and late-join scene graph consistency.
  • Command line tutorial--headless and multi-instance CLI launches for dedicated match servers.
  • Exporting for dedicated servers — Server export presets and feature tags that strip client-only rendering/input paths.
  • Occlusion culling — Bake occlusion for dense building clusters so large BR maps stay GPU-viable.
  • Mesh level of detail (LOD) — Distance LODs for terrain props and structures that dominate draw cost at drop-zone scale.
  • Optimization using MultiMeshes — Batch foliage/debris into MultiMesh draw calls instead of per-instance nodes.
  • Optimization using Servers — RenderingServer RID paths for dense loot visuals without SceneTree node overhead.
  • Background loading — Threaded ResourceLoader sector streaming for non-blocking open-world map loads.

Related Skills

Prerequisites
  • godot-multiplayer-networking — Authoritative server RPCs, transfer modes, and lobby/peer lifecycle that BR relevancy and lag compensation build on.
  • godot-project-foundations — Autoloads, export feature flags, and project layout for headless dedicated vs client builds.
  • godot-3d-world-building — Large terrain chunking, collision generation, and world streaming prerequisites for storm-scale maps.
Complements
  • godot-adapt-single-to-multiplayer — Authority split, prediction shells, and snapshot interpolation before applying BR-scale interest management.
  • godot-server-architecture — Headless host scaffolding and PhysicsServer/RID patterns used by authoritative match simulation.
  • godot-export-builds — Dedicated-server presets, INTERNET permissions, and CLI packaging for multi-instance match tests.
  • godot-inventory-system — Backpacks, attachments, and armor state that authoritative looting must validate server-side.
  • godot-performance-optimization — LOD, pooling, and CPU budgets when loot density and peer count stress the match server/clients.
  • godot-signal-architecture — Kill-feed and match-event buses that stay local while RPCs carry cross-peer eliminations.
  • godot-genre-shooter — Hitscan/projectile combat patterns and lag-compensated validation used inside the BR engagement loop.
Downstream / consumers
  • godot-monte-carlo-balancer — Simulate zone DPS phases, loot rarity tables, and TTK bands so storm/loot pacing stays fair across 100-player matches.
  • godot-ai-navigation — Bot pathfinding and interest-culled AI when filling lobbies with threaded server-side bots.
Master
  • godot-master — Library router and mirrored module entry; open when discovering which Domain Skill owns a cross-cutting BR concern.

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 Genre Battle Royale AI skill do?

Expert blueprint for Battle Royale games including shrinking zone/storm mechanics (phase-based, damage scaling), large-scale networking (relevancy, tick rate optimization), deployment systems (plane, freefall, parachute), loot spawning (weighted tables, rarity), and performance optimization (LOD, occlusion culling, object pooling). Use for multiplayer survival games or last-one-standing formats. Trigger keywords: battle_royale, zone_shrink, storm_damage, deployment_system, loot_spawn, networking_optimization, relevancy_system, snapshot_interpolation.

Why use Godot Genre Battle Royale on TypingMind?

Because you install it once and use it with any model. Godot Genre Battle Royale 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 Genre Battle Royale in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/thedivergentai/GD-Agentic-Skills/tree/main/skills/godot-genre-battle-royale. 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 Genre Battle Royale?

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 Genre Battle Royale?

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

Is the Godot Genre Battle Royale 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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