Install
$ agentstack add skill-jame581-godotprompter-procedural-generation ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Procedural Generation in Godot 4.3+
All examples target Godot 4.3+ with no deprecated APIs. GDScript is shown first, then C#.
> Related skills: 2d-essentials for TileMapLayer usage, 3d-essentials for 3D terrain meshes, math-essentials for vectors and transforms, godot-optimization for chunk loading and performance.
1. Seeded Randomness
Always use seeds for reproducible generation. This enables shareable seeds, replay, and deterministic testing.
GDScript
# RandomNumberGenerator — per-instance, seedable
var rng := RandomNumberGenerator.new()
func generate_level(level_seed: int) -> void:
rng.seed = level_seed
var width: int = rng.randi_range(20, 40)
var height: int = rng.randi_range(15, 30)
var enemy_count: int = rng.randi_range(3, 8)
var treasure_chance: float = rng.randf_range(0.05, 0.15)
# AVOID: Global randf()/randi() — not reproducible across calls
# USE: rng.randf(), rng.randi(), rng.randf_range(), rng.randi_range()
C#
private RandomNumberGenerator _rng = new();
public void GenerateLevel(ulong levelSeed)
{
_rng.Seed = levelSeed;
int width = _rng.RandiRange(20, 40);
int height = _rng.RandiRange(15, 30);
int enemyCount = _rng.RandiRange(3, 8);
float treasureChance = _rng.RandfRange(0.05f, 0.15f);
}
> Tip: Generate a seed from a string for shareable level codes: var seed: int = "MyLevel".hash()
2. Noise-Based Generation (FastNoiseLite)
FastNoiseLite for height maps, biome distribution, 2D terrain. Key params: noise_type (Perlin / Simplex / Cellular / Value), frequency (lower = larger features), seed. For terrain, sample noise at each tile coord, threshold the value to pick a tile.
> See [references/noise-generation.md](references/noise-generation.md) for the basic noise-map recipe, noise-type reference table, and 2D terrain + TileMapLayer walkthrough.
3. BSP Dungeon Generation
Binary Space Partitioning recursively splits a rectangle into smaller rectangles, carves a room inside each leaf, connects siblings with corridors. Produces grid-aligned room-based dungeons (think roguelike).
> See [references/bsp-dungeons.md](references/bsp-dungeons.md) for the full recursive partition + room placement + corridor connection algorithm in GDScript + C#.
4. Cellular Automata (Cave Generation)
Fill a grid with random walls/floors at ~45% density, then iterate "a cell becomes a wall if ≥ 5 of 8 neighbors are walls" 4-5 times. The result is organic cave shapes — no straight corridors.
> See [references/cellular-automata.md](references/cellular-automata.md) for the full GDScript + C# implementation with TileMapLayer integration.
5. Wave Function Collapse (WFC)
WFC is a constraint solver: given a tile set with adjacency rules, pick the lowest-entropy cell, collapse it to a valid tile, propagate constraints, repeat. Produces tile-rule-respecting output but is non-trivial to implement.
> See [references/wave-function-collapse.md](references/wave-function-collapse.md) for concept overview and a simplified GDScript + C# implementation.
6. Common Pitfalls
| Symptom | Cause | Fix | |---------|-------|-----| | Same level every time | Not seeding the RNG | Set rng.seed before generation | | Different results on different platforms | Using global randf() / randi() | Use a dedicated RandomNumberGenerator instance | | Noise looks blocky | Frequency too high | Lower frequency (try 0.01–0.05) | | Caves are all wall or all floor | fill_chance too extreme or too few iterations | Use fill_chance 0.40–0.50 and 4–6 iterations | | BSP rooms overlap | Split position too close to edge | Ensure min_room_size buffer in split calculation | | WFC contradiction (no valid tile) | Adjacency rules too restrictive | Add more allowed neighbors or implement backtracking | | Generation takes too long | Processing entire map in one frame | Use await get_tree().process_frame to spread across frames, or use a thread |
7. Implementation Checklist
- [ ] All generation uses a seedable
RandomNumberGenerator, never globalrandf()/randi() - [ ] Seeds are stored with save data so levels can be reproduced
- [ ]
FastNoiseLitefrequency and octaves are tuned for the game's tile/world scale - [ ] Large generation is spread across frames or run on a thread to avoid freezing
- [ ] Generated TileMapLayer content uses terrain autotiling when possible (not hardcoded tile coords)
- [ ] BSP dungeons verify all rooms are connected before finalizing
- [ ] Cave generation runs a flood-fill to ensure reachability between key points
- [ ] Player spawn point is validated to be on a floor tile, not inside a wall
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jame581
- Source: jame581/GodotPrompter
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.