Skip to content
TrustedSkillsbeta
Back to all skills

Godot Procedural Generation

Checked
thedivergentai·vlatest·other·LGPL-3.0

Generates Godot Engine scenes, levels, and assets procedurally based on user prompts and style guidelines.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add thedivergentai/game-dev-agentic-skills --skill godot-procedural-generation -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

thedivergentai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned thedivergentai/gd-agentic-skills at 4c4d0ff5c4.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
4c4d0ff5c4
Manifest
skills/godot-procedural-generation/SKILL.md
Scanned
3 files, 283 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill enables AI agents to procedurally generate Godot Engine scenes, levels, and assets. It utilizes seeded algorithms, noise functions, and constraint propagation to create replayable content. The skill provides a suite of scripts for various generation techniques including dungeon creation using cellular automata, object placement with Poisson disk sampling, path generation with Drunkard's Walk, and room layout using Binary Space Partitioning.

When to use it

  • Generating game levels or environments automatically.
  • Creating varied terrain and cave systems.
  • Populating a level with non-clumping objects or enemies.
  • Designing winding paths for rivers or tunnels within a scene.
  • Developing structured floor plans for buildings or dungeons.

Key capabilities

  • FastNoiseLite Integration: Advanced noise generation for performance optimization.
  • Cellular Automata Dungeon Generation: Creates organic cave and terrain layouts.
  • Poisson Disk Sampling: Distributes objects evenly to avoid clustering.
  • Drunkard's Walk Path Generation: Generates winding paths.
  • Binary Space Partitioning (BSP): Creates structured room layouts.
  • Multi-threaded Chunk Generation: Offloads generation tasks for improved performance.
  • Marching Squares Metaballs: Creates smooth contouring and influential maps.

Example prompts

  • "Generate a dungeon level using cellular automata."
  • "Create a map with evenly distributed enemies using Poisson disk sampling."
  • "Design a winding river path through the terrain."
  • “Generate a floor plan for a building using BSP.”

Tips & gotchas

  • This skill requires familiarity with the Godot Engine.
  • The generated content is procedural and may require manual adjustments to achieve desired results.
  • Utilize multi-threaded chunk generation to improve performance when generating large levels.