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Godot City Game 3d

OrganizationPopular
Leanmcp
godot-city-game-3d

Build, run, debug and ship 3D city games in Godot 4 — procedurally generated cities (block grids, districts, weighted building typologies, MultiMesh batching, facade shaders, terrain, day/night, landmarks), first-person controllers, headless verification, Blender-generated .glb assets, rigged character and animation packs, real OpenStreetMap-derived cities, WebAssembly export, and cloud GPU streaming on GCP. Use this skill whenever the work involves Godot or a .gd/.tscn/.gdshader/project.godot file; whenever someone wants to start, set up, clone onto a new machine, or stand up a 3D game or city generator; whenever they mention procedural city, city generator, block grid, building typology, MultiMesh, facade shader, terrain heightmap, navmesh, Godot export templates, export presets, headless Godot, .glb pipeline, Blender asset generation, character rigs or borrowed animations; and whenever they want to deploy or share a game — web export, SharedArrayBuffer/COOP/COEP, Selkies, pixel streaming, GPU VM, or "let people play this without installing anything." Reach for it even on vague asks like "get this running", "why is my city slow", "my model faces backwards", "make it work on a cloud machine", or "set this up somewhere else too" when a Godot 3D project is in play.

Overview

PublisherLeanmcp
Repositorygateway-skills
Skill namegodot-city-game-3d
Stars
2.1K
Forks
2.1K
Bundled files
31
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.

  • 31 bundled files

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

  • Open source

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

Installation

Install the Godot City Game 3d 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/Leanmcp/gateway-skills/tree/main/skills/godot-city-game-3d
  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/Leanmcp/gateway-skills.git /tmp/gateway-skills
mkdir -p .claude/skills
cp -r /tmp/gateway-skills/skills/godot-city-game-3d .claude/skills/godot-city-game-3d
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Godot City Game 3d 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 City Game 3d 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 City Game 3d 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.

Godot city game (3D)

A complete toolkit for procedurally generated 3D city games in Godot 4: scaffold a new one in a minute, stand an existing one up on any machine, and ship it to a browser or a cloud GPU.

Everything here assumes Godot 4.x. Godot 3 differs enough in GDScript, rendering and node API that this guidance does not transfer.

Start here — pick the situation

SituationDo this
Empty directory, want a city gameBootstrap
Existing repo, new machine / fresh cloneSet up an existing project
Something is brokenreferences/troubleshooting.md — symptom-to-cause, read it before debugging from scratch
Changing how the city looks or is builtreferences/city-generation.md
Adding gameplay, worried about structurereferences/architecture.md
Models, Blender, characters, animationsreferences/assets.md
Driving the city from real map datareferences/real-map-data.md
Getting other people playing itreferences/deploy.md
Install details, CI, version pinningreferences/setup.md

Read the reference file rather than reconstructing its content — each one exists because the details in it are the kind that cost hours when guessed.

Bootstrap a new project

bash
python3 scripts/bootstrap_project.py ~/code/my-city --name "My City"

Produces a project that runs immediately: a hilly ~60-block city with batched, window-shaded buildings, box collision, a walkable first-person player, and a workspace/ carrying its own copies of every install/run/check/export/cloud script. Then:

bash
bash ~/code/my-city/workspace/install_godot.sh --templates
time bash ~/code/my-city/workspace/check_project.sh     # headless, proves it builds
bash ~/code/my-city/workspace/run.sh                    # play it

The scaffold is deliberately a working small city rather than an empty skeleton, because its value is the architecture it demonstrates — config as data, one height function, MultiMesh batching, box collision, nothing generated saved into the scene — and an empty skeleton demonstrates none of it.

Copying the scripts into the new repo (rather than referencing this skill) is what makes the result portable: the repo can then stand itself up on another laptop, a CI runner or a cloud VM with nothing else installed.

Set up an existing project

bash
bash workspace/install_godot.sh --templates     # or scripts/install_godot.sh
time bash workspace/check_project.sh
bash workspace/run.sh

Three things make this work identically everywhere, and they are worth preserving in any project touched:

  • Nothing hardcodes a path. lib.sh finds the Godot binary by searching ($GODOT_BIN, PATH, ~/.local/bin, the macOS bundle, /opt/godot) and finds the project by walking up from the working directory looking for project.godot. Override with environment variables, never by editing scripts.
  • --templates matters. Export templates are a separate download that Godot normally fetches through an editor dialog — which does not exist on a headless VM. Skipping this is the single most common reason a cloud or web export fails later, and the error message blames the preset instead.
  • check_project.sh is the real gate. Godot exits 0 even when GDScript throws at runtime, so exit codes prove nothing. The script boots each scene headless and fails on SCRIPT ERROR / Parse Error in the log. Run it before believing anything works, and use it as the CI check.

The scripts

All under scripts/, all safe to copy into a project's workspace/.

ScriptDoes
install_godot.sh [--templates]Godot 4 on macOS/Linux, PATH shim, quarantine fix, export templates
check_project.sh [scenes…]headless import + boot each scene, fail on script/shader errors
run.sh [--editor]play, or open the editor
import_assets.shreimport .glb/textures without the GUI
build_assets.sh [names…]run the Blender gen_*.py generators
ensure_export_presets.pywrite the Web/Linux/macOS/Windows presets the editor would otherwise have to create
export_web.sh [--no-serve]WebAssembly export + a server that sends COOP/COEP
serve_web.pythat server, standalone
bootstrap_project.pyscaffold a new project
cloud/provision_gcp.shGPU VM + firewall + driver/Docker/Selkies setup
cloud/deploy_game.shLinux export, upload, restart the stream
cloud/stop.sh [--status]stop billing (DELETE=1 to remove the disk too)

Every one accepts GODOT_BIN, GODOT_PROJECT and GODOT_VERSION from the environment.

How a city generator is put together

Full detail in references/city-generation.md. The shape:

city_config_<name>.gd   DATA  block sizes, districts, weighted building tables, hills, seed
        ↓ spec()
city_generator.gd       LOGIC loops blocks, places buildings, batches, collides
        ↓ uses
terrain.gd              one height function + the ground mesh derived from it
typology.gd             building kind → shape ranges
facade.gdshader         storeys and windows drawn procedurally on plain boxes
        ↓ emits
PlayerSpawn, EnemySpawns          ← the entire contract the rest of the game needs

Five properties carry the whole design. Preserve them; each one is expensive to retrofit and cheap to keep:

  1. The generator knows nothing about any specific city. A second city is a new data file, not a fork. If adding one required touching the generator, something city-specific has leaked in.
  2. One height function. Ground mesh, its collider, every foundation, every spawn point and every navmesh polygon call terrain.height_at(). Two systems computing ground independently will drift, and drift is what floats buildings above hills and drops players through slopes. It also means swapping analytic hills for a real heightmap is a one-function change.
  3. MultiMesh per typology. ~2,000 buildings cost a handful of draw calls instead of 2,000. Set use_colors/use_custom_data before instance_count — Godot allocates the buffer at that point and silently discards writes to flags enabled afterwards.
  4. Box collision, never trimesh, for anything repeated. Use create_shape_owner / shape_owner_add_shape on one StaticBody3D so there is not even a node per building.
  5. Generated nodes get no owner. Only owned nodes are written into the .tscn, so the scene file stays a few lines, diffs cleanly, and cannot silently disagree with the generator. Tag them with metadata so a rebuild clears exactly what it made.

Determinism is the sixth: seed the RNG from the config so the same seed rebuilds the identical city. Without it you cannot reproduce a bug or judge a change.

The facade trick worth knowing

Plain boxes read as programmer art; windows make them buildings. Lay the window grid out in metres, derived from each instance's real dimensions passed in INSTANCE_CUSTOM, not in UV space. A 12 m house and a 160 m tower then get windows the same physical size instead of the same count stretched to fit — which is the most obvious tell of a procedural city. Suppress windows on top/bottom faces and across the ground-floor band, and light them at night from a hash of (bay, storey, seed) so they do not flicker.

Architecture rules for the rest of the game

Detail in references/architecture.md. In brief:

  • Signals go up, calls go down. The player emits health_changed; the game manager hears it and tells the HUD. The player never touches the HUD.
  • The HUD holds no state. Delete it and the game still runs correctly.
  • Levels hold no logic — geometry plus Marker3D spawn points. This is what lets a generated city be a drop-in replacement for a hand-built level.
  • Contracts stay tiny and duck-typed. "Anything damageable implements take_damage(amount, point)" is the whole interface.
  • Everything tunable is @export. A value you must edit source and relaunch to change is a value nobody will ever tune — and movement feel in particular cannot be judged in the abstract.
  • Physics layers by name: 1 world, 2 player, 3 enemy. Static geometry is layer 1, mask 0 — it moves against nothing, and a default mask makes the physics server test it against everything for free.
  • Register input actions in code (an autoload), so bindings are diffable, survive merges, and work on a fresh clone before anyone opens the editor.

Performance, in the order that actually pays: batch into MultiMesh → box colliders → visibility_range_end → directional_shadow_max_distance → cap the framerate → only then render scale and renderer choice.

Assets

Detail in references/assets.md. Generate models from headless Blender (blender --background --factory-startup --python gen_x.py) rather than hand-modelling: the source is diffable Python in git, assets are parametric, and conventions (metre scale, floor origin, -Y forward, a fixed palette) are enforced by a shared kit.py rather than remembered.

Two things bite everyone:

  • Only glTF's PBR factors survive export — base colour, metallic, roughness, normal, occlusion, emission. Blender procedural node graphs, noise textures and geometry-node shading are silently dropped. Bake to a texture first.
  • Emissive materials glow but do not illuminate. Pair every emissive mesh with a real light node.

Rigged humanoids are the exception: download them, do not generate them. Use one pack for bodies and one for animations that share a rig (Quaternius's Universal Base Characters + Universal Animation Library, both CC0) — mixing sources means bone-mapping every clip by hand. Base packs often ship zero clips, so animations get borrowed at runtime; the load-bearing step is rewriting each track's node path to address the target skeleton, because a mismatch produces a silent T-pose with no error.

Real map data

Detail in references/real-map-data.md. Driving the city from OpenStreetMap replaces the source of the block list, not the renderer — everything downstream is unchanged, which is the payoff for keeping config separate from generator.

The one decision that must be right first: project lat/lon onto a local East-North tangent plane in metres with a frozen origin, mapped as x = east, z = -north, y = elevation. Not UTM, not Web Mercator — Mercator is wrong by the secant of the latitude (~27% at San Francisco), which is the classic way a bake ends up subtly stretched. Bake offline to files; never call a map API at runtime.

The acceptance test for the whole front half of the pipeline is one top-down SVG of the projected data. It either looks like the city or it does not, and it catches axis flips and unit errors that are nearly invisible once the data is inside the engine.

Shipping it

Detail in references/deploy.md. Godot has no built-in pixel streaming; its WebRTC support is for multiplayer networking, which is a common and expensive confusion. Two real paths:

Web export — the default. Runs on the player's machine: ~$0, zero latency, unlimited concurrent players.

bash
bash scripts/export_web.sh

Three things must all be true: export templates installed, a preset named exactly Web (ensure_export_presets.py writes it), and the Compatibility renderer — browsers run WebGL 2 only. Override just the web platform so desktop keeps Forward+:

ini
renderer/rendering_method="forward_plus"
renderer/rendering_method.web="gl_compatibility"

Hosting needs Cross-Origin-Opener-Policy: same-origin and Cross-Origin-Embedder-Policy: require-corp, or SharedArrayBuffer is unavailable and the game silently never boots. python3 -m http.server sends neither; serve_web.py exists solely for those two headers. GitHub Pages cannot set them.

Cloud GPU streaming — when players genuinely cannot run the game.

bash
bash scripts/cloud/provision_gcp.sh     # L4 spot by default
bash scripts/cloud/deploy_game.sh
bash scripts/cloud/stop.sh              # STOP BILLING

~$0.90/hr for an L4 plus egress (12 Mbit/s ≈ 5.4 GB/hr), realistically 3–4 concurrent players — rendering binds long before encoding does. Request the GPU quota first: new GCP projects have a quota of zero and approval takes hours to days.

If the actual motivation is "my laptop runs hot", neither path is the answer — cap the framerate (run/max_fps=60 + vsync roughly halves GPU draw at no latency cost), then cut shadow distance and building draw distance.

Working on someone's existing city project

Before changing generation code, run check_project.sh to establish that it builds, and read the config file rather than the generator — the config is where intent lives. When something looks wrong in-game, check references/troubleshooting.md first; most city-generation symptoms (floating buildings, ribbon streets, stretched windows, ignored instance colours, collapsed framerate) have one specific cause each, and guessing at them is expensive.

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 City Game 3d AI skill do?

Build, run, debug and ship 3D city games in Godot 4 — procedurally generated cities (block grids, districts, weighted building typologies, MultiMesh batching, facade shaders, terrain, day/night, landmarks), first-person controllers, headless verification, Blender-generated .glb assets, rigged character and animation packs, real OpenStreetMap-derived cities, WebAssembly export, and cloud GPU streaming on GCP. Use this skill whenever the work involves Godot or a .gd/.tscn/.gdshader/project.godot file; whenever someone wants to start, set up, clone onto a new machine, or stand up a 3D game or...

Why use Godot City Game 3d on TypingMind?

Because you install it once and use it with any model. Godot City Game 3d 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 City Game 3d in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Leanmcp/gateway-skills/tree/main/skills/godot-city-game-3d. 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 City Game 3d?

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 City Game 3d?

As many as you like. As long as a model supports skills, you can use Godot City Game 3d with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Godot City Game 3d AI skill free?

Yes. It is published on GitHub by Leanmcp 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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