Level Design logo

Level Design

OrganizationPopular
gamedev-skills
level-design

Design and build playable levels — the blockout/whitebox-to-playable workflow, player metrics and grid layout, pacing and flow (tension/rest curve), gating and the critical path, and encounter design. Engine-neutral practice. Use when the user mentions level design, blockout/whitebox/greybox, level layout, level pacing, encounter design, or the critical path through a level.

Overview

Publishergamedev-skills
Repositoryawesome-gamedev-agent-skills
Skill namelevel-design
Stars
1.3K
Forks
107
Bundled files
1
LicenseApache-2.0
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.

  • 1 bundled files

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

  • Open source

    Published by gamedev-skills on GitHub. Read the source before you install it.

Installation

Install the Level Design 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/gamedev-skills/awesome-gamedev-agent-skills/tree/main/skills/disciplines/level-design
  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/gamedev-skills/awesome-gamedev-agent-skills.git /tmp/awesome-gamedev-agent-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-gamedev-agent-skills/skills/disciplines/level-design .claude/skills/level-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Level Design 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 Level Design 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 Level Design 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.

Level design

A level is a sequence of intentional experiences delivered through space. Good level design is a process: define the metrics movement is built on, block out geometry with primitives, play it, then dress it — never the reverse. This skill is the engine-neutral practice; use godot-tilemap/unity-tilemap-2d to lay out 2D grids and gridmaps for 3D.

When to use

  • Use to plan a level's structure: critical path, pacing, gating, encounters, and where the player learns vs is tested.
  • Use the blockout → test → iterate → dress workflow to build a level that plays well before any art exists.
  • Use to derive level metrics from the character's movement so geometry is reachable and fair.

When not to use: to generate levels algorithmically, use procedural-gen (authored and procedural design are complementary). For the engine's tile/grid painting tools, use godot-tilemap / unity-tilemap-2d. For the movement abilities the metrics come from, that's the engine movement skill + input-systems.

Core workflow

  1. Derive metrics first. Measure the character: max jump height and distance, run speed, reach, camera range. Every gap, ledge, and corridor is sized in these units. Lock them before building geometry.
  2. Blockout (whitebox/greybox). Build the whole level from untextured primitives at correct scale. Validate flow, sightlines, and reachability while changes are cheap. No art yet.
  3. Define the critical path (start → goal) and the golden path you expect most players to take. Layer optional/secret paths off it.
  4. Pace the experience. Alternate tension and rest in a deliberate curve; don't run combat-combat-combat. Give the player room to breathe and to anticipate.
  5. Teach, then test. Introduce each mechanic in a safe space, let the player practice, then test it under pressure. Difficulty rises in a sawtooth, not a straight line.
  6. Gate with intent. Use locks/keys, abilities, and one-way drops to control order and pacing; guide with light, lines, and landmarks rather than walls.
  7. Playtest and iterate. Watch real players: where do they get lost, stuck, bored, or killed unfairly? Fix the blockout; only dress when it plays well.

Patterns

1. Player metrics drive every dimension

gdscript
# Measure the character ONCE, then size geometry in these units. If the jump
# changes, gaps must be re-derived — never eyeball reachability.
const RUN_SPEED      := 240.0   # px/s (or m/s in 3D)
const MAX_JUMP_H     := 96.0    # peak height of a full jump
const MAX_JUMP_DIST  := 200.0   # horizontal distance of a running jump
const SAFE_GAP       := MAX_JUMP_DIST * 0.7   # comfortable, not pixel-perfect
const HARD_GAP       := MAX_JUMP_DIST * 0.95  # a deliberate skill check
# Build platforms so required jumps use SAFE_GAP; reserve HARD_GAP for optional reward.

A reachable level falls out of honest metrics. A platform placed MAX_JUMP_DIST + 1 away is impossible; one at SAFE_GAP is fair. Keep these constants beside the level data so designers and code agree.

2. Encounter / pacing as data (a tension timeline)

gdscript
# Author the level as a sequence of beats with an intended intensity (0..1).
# This makes the pacing curve explicit and reviewable before you build rooms.
const BEATS := [
    { "room": "entry",      "type": "teach",   "intensity": 0.1 },
    { "room": "hall_1",     "type": "combat",  "intensity": 0.5 },
    { "room": "vista",      "type": "rest",    "intensity": 0.1 },  # breather + reward
    { "room": "gauntlet",   "type": "combat",  "intensity": 0.8 },
    { "room": "save_room",  "type": "rest",    "intensity": 0.2 },  # before the boss
    { "room": "boss",       "type": "climax",  "intensity": 1.0 },
]
# Read the intensity column top-to-bottom: it should rise overall but dip for rests
# (a sawtooth), never flatline high. Drive spawns/music intensity from this.

3. Gating and the critical path (a small graph)

gdscript
# Model the level as rooms + gated connections. Validate that the goal is
# reachable with the keys/abilities the player can actually obtain in order.
const ROOMS := {
    "entry":   { "exits": [ { "to": "hall_1" } ] },
    "hall_1":  { "exits": [ { "to": "vista", "needs": "double_jump" },
                            { "to": "side_room" } ] },           # optional branch
    "side_room": { "exits": [ { "to": "hall_1" } ], "grants": "double_jump" },
    "vista":   { "exits": [ { "to": "boss", "needs": "red_key" } ] },
}
# Validation (do this!): from "entry", can the player reach "boss" given that
# "double_jump" is granted in "side_room" before "vista" requires it? A flood
# fill that only traverses an exit when its `needs` is already satisfiable
# proves the critical path isn't soft-locked.

Pitfalls

  • Dressing before it plays. Detailing a blockout you haven't validated wastes the most expensive work on a layout you'll change. Greybox and test first.
  • Geometry that ignores metrics: gaps the jump can't clear, ledges below reach, corridors narrower than the camera needs. Size everything in player units.
  • Flat pacing. Wall-to-wall combat (or wall-to-wall calm) numbs the player. Alternate tension and rest; place a breather and a save before the climax.
  • Testing a mechanic before teaching it. Players meet a hazard for the first time in a lethal spot. Introduce safely, let them practice, then test.
  • Soft-locks and dead ends. A gate needs an ability/key obtainable only past the gate. Validate the critical path's key/ability order, not just connectivity.
  • No readability / guidance. Players get lost when nothing draws the eye. Use light, leading lines, color, and landmarks to point toward the path.
  • One-way drops with no signposting strand or surprise players. Telegraph irreversible moves.
  • Confusing procedural with authored. Generation gives variety, not authored pacing. Use procedural-gen for variety; hand-author for intent.

References

  • references/pacing-and-flow.md — the difficulty/tension curve in depth, teaching-loop design (introduce→develop→twist→test), readability and guidance techniques, 2D vs 3D layout considerations, and a blockout review checklist.

Related skills

  • godot-tilemap, unity-tilemap-2d — paint 2D level grids; gridmaps for 3D.
  • procedural-gen — generate variety to complement authored structure.
  • game-ai — encounter enemies that navigate the space you build.
  • platformer, puzzle, roguelike — genres that compose this skill.

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 Level Design AI skill do?

Design and build playable levels — the blockout/whitebox-to-playable workflow, player metrics and grid layout, pacing and flow (tension/rest curve), gating and the critical path, and encounter design. Engine-neutral practice. Use when the user mentions level design, blockout/whitebox/greybox, level layout, level pacing, encounter design, or the critical path through a level.

Why use Level Design on TypingMind?

Because you install it once and use it with any model. Level Design 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 Level Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/gamedev-skills/awesome-gamedev-agent-skills/tree/main/skills/disciplines/level-design. 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 Level Design?

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 Level Design?

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

Is the Level Design AI skill free?

Yes. It is published on GitHub by gamedev-skills under the Apache-2.0 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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