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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 charac…

Install / Use

npx skills add Leanmcp/gateway-skills --skill godot-city-game-3d

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

94/100

Category

Other

Supported Platforms

Universal

Our assessment of godot-city-game-3d

godot-city-game-3d scores 94/100 on our quality scale, 16th of 259 Other skills we index (top 7%).

Its SKILL.md is 14 KB long, well organised into 12 sections with 7 code examples: a thorough specification that gives an agent plenty to work with.

With 2,111 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
20/20
Description
15/15
Adoption
14/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 16 days ago, so godot-city-game-3d is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

godot-city-game-3d compared with similar skills

All 4 of these similar skills score higher than godot-city-game-3d; compare them before choosing.

SkillScoreStarsUpdatedFormat
godot-city-game-3d (this skill)by Leanmcp942.1k16d agoSKILL.md
algorithmic-artby anthropics100177.9k31d agoSKILL.md
pptxby anthropics100177.9k31d agoSKILL.md
designby nextlevelbuilder100137.2k9d agoSKILL.md
ui-ux-pro-maxby nextlevelbuilder100137.2k9d agoSKILL.md

Frequently asked questions

How do I install godot-city-game-3d?
Run npx skills add Leanmcp/gateway-skills --skill godot-city-game-3d. The install tabs above show the steps for each supported agent.
Which AI agents does godot-city-game-3d work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is godot-city-game-3d safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is godot-city-game-3d still maintained?
The repository was last updated 16 days ago, so godot-city-game-3d is actively maintained.

name: godot-city-game-3d description: 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.

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

| Situation | Do this | |---|---| | Empty directory, want a city game | Bootstrap | | Existing repo, new machine / fresh clone | Set up an existing project | | Something is broken | references/troubleshooting.md — symptom-to-cause, read it before debugging from scratch | | Changing how the city looks or is built | references/city-generation.md | | Adding gameplay, worried about structure | references/architecture.md | | Models, Blender, characters, animations | references/assets.md | | Driving the city from real map data | references/real-map-data.md | | Getting other people playing it | references/deploy.md | | Install details, CI, version pinning | references/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

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 ~/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 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/.

| Script | Does | |---|---| | 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.sh | reimport .glb/textures without the GUI | | build_assets.sh [names…] | run the Blender gen_*.py generators | | ensure_export_presets.py | write 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.py | that server, standalone | | bootstrap_project.py | scaffold a new project | | cloud/provision_gcp.sh | GPU VM + firewall + driver/Docker/Selkies setup | | cloud/deploy_game.sh | Linux 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 stretc

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars2.1k
CategoryOther
Updated16d ago
Forks2.1k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions
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