Procedural Gen

What it does

When your agent uses it

• The user mentions procedural generation
• Perlin/simplex noise
• Dungeon generator
• Heightmap/terrain

Example prompts

• “/procedural-gen”

Requirements

• Python 3
• Compatibility (from SKILL.md): Engine-agnostic (algorithms). Snippets in Python/GDScript-like pseudocode; uses a noise library (FastNoiseLite, opensimplex, Unity.Mathematics.noise).

Workflow steps

4 steps, taken from the step headings in SKILL.md.

1. 1Seeded, deterministic RNG (the foundation)
2. 2Fractal (fBm) noise for heightmaps
3. 3Weighted loot table (rarity-correct selection)
4. 4Rooms-and-corridors dungeon (sketch)

What it can do on your machine

Read from SKILL.md and the folder at commit eac84e0. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are python).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

• Compatibility

  Engine-agnostic (algorithms). Snippets in Python/GDScript-like pseudocode; uses a noise library (FastNoiseLite, opensimplex, Unity.Mathematics.noise).

  From compatibility in the SKILL.md frontmatter.

Context cost

Procedural Gen loads about 1.8k tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 597 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~98

When it runs · the whole SKILL.md, loaded when a task matches

~1.8k

With references · SKILL.md plus every file in references/, read only if the agent opens them

~4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ukanwat/overtime at commit eac84e0, republished under its Apache-2.0 licence (© ukanwat). 597 words, ~1,847 tokens.

name

procedural-gen

description

Generate game content procedurally — seeded deterministic RNG, value/Perlin/ Simplex noise for terrain and heightmaps, grid dungeon generation (rooms + corridors, BSP, random walk), and weighted loot/drop tables. Engine-neutral algorithms. Use when the user mentions procedural generation, perlin/simplex noise, random seed, dungeon generator, heightmap/terrain, or loot tables.

compatibility

Engine-agnostic (algorithms). Snippets in Python/GDScript-like pseudocode; uses a noise library (FastNoiseLite, opensimplex, Unity.Mathematics.noise).

license

Apache-2.0

metadata.engine

none

metadata.category

disciplines

metadata.difficulty

advanced

import random
rng = random.Random(seed)        # a dedicated instance — NOT the global random.*
room_count = rng.randint(5, 12)  # same seed -> same sequence, every run
# RIGHT: thread `rng` through every function that makes a choice.
# WRONG: calling random.randint(...) (global state) — order-dependent, unseedable.

# Sum several octaves: each higher octave has higher frequency, lower amplitude.
def fbm(noise, x, y, octaves=5, lacunarity=2.0, gain=0.5):
    total, amp, freq, norm = 0.0, 1.0, 1.0, 0.0
    for _ in range(octaves):
        total += amp * noise(x * freq, y * freq)   # noise() returns ~0..1
        norm  += amp                                # track total amplitude
        amp   *= gain                               # each octave contributes less
        freq  *= lacunarity                         # ...at a higher frequency
    return total / norm                             # normalize back into 0..1

# Redistribute to carve flat valleys / sharpen peaks: higher exp -> more lowland.
elevation = pow(fbm(noise, nx, ny), 2.2)

# Roll proportional to weight: common drops far more often than legendary.
def weighted_pick(rng, table):           # table: list of (item, weight)
    total = sum(w for _, w in table)
    roll = rng.uniform(0, total)          # a point on the cumulative line
    upto = 0.0
    for item, w in table:
        upto += w
        if roll < upto:                   # first bucket the roll falls into
            return item
    return table[-1][0]                   # float-safety fallback

loot = weighted_pick(rng, [("common", 70), ("rare", 25), ("legendary", 5)])

# 1. Place non-overlapping rooms; 2. connect them; 3. carve into the grid.
rooms = []
for _ in range(attempts):
    r = Rect(rng.randint(1, W-w-1), rng.randint(1, H-h-1), w, h)
    if not any(r.intersects(o.expand(1)) for o in rooms):  # keep a 1-tile gap
        rooms.append(r)
for a, b in zip(rooms, rooms[1:]):       # connect each room to the next
    carve_l_corridor(grid, a.center, b.center, rng)   # horizontal then vertical

© ukanwat, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (references) in .claude/skills/procedural-gen of ukanwat/overtime.

• SKILL.md
• references/dungeon-generation.md
• references/noise.md

Open the folder on GitHubat commit eac84e0

Used in 1 other repository

We found 1 copy of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in ukanwat/overtime, which our catalogue first saw on October 7, 2026.

• gamedev-skills/awesome-gamedev-agent-skillsskills/disciplines/procedural-gen