game-design

game-design is a skill for Claude Code from vudovn/ag-kit. It costs 18 tokens per session (639 once invoked), scanned A, original, MIT.

Guidance for designing how a game plays, including its repeating actions, rules, goals, and progression.

In plain words
What is it for?
Writing a game design document, defining the core gameplay loop, planning player motivations, balancing rewards, and designing progression.
Why use it?
It helps turn a game idea into a clear structure that can be tested and improved instead of relying on vague features.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: installed under .agents/ (shared by several agents).

About the project

AG Kit is a toolkit that gives Google Antigravity coding agents a structured workspace with rules, skills, specialist agents, workflows, persistent memory, orchestration, MCP guidance, and a safety hook. It is for building and operating agent workflows in Antigravity, and its catalogue entries provide parts of that workspace contract.

vudovn/ag-kit · 8,170 stars · on GitHub · ag-kit.unikorn.vn

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/vudovn/ag-kit/game-design
Any agent
npx skills add vudovn/ag-kit --skill game-design
Clone the repo
git clone --depth 1 https://github.com/vudovn/ag-kit

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for game-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/vudovn/ag-kit/game-design.svg)](https://agentmods.dev/skills/vudovn/ag-kit/game-design)
Your own site
<a href="https://agentmods.dev/skills/vudovn/ag-kit/game-design"><img src="https://agentmods.dev/badge/skills/vudovn/ag-kit/game-design.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 639 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00018 $0.00639
Opus 5 $0.00009 $0.00319
Sonnet 5 $0.00004 $0.00128
Haiku 4.5 $0.00002 $0.00064

Measured 6d ago against content hash 93c417904682, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

game-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

.agents/skills/game-development/game-design/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Game Design Principles

Design thinking for engaging games.


1. Core Loop Design

The 30-Second Test

Every game needs a fun 30-second loop:
1. ACTION → Player does something
2. FEEDBACK → Game responds
3. REWARD → Player feels good
4. REPEAT

Loop Examples

Genre Core Loop
Platformer Run → Jump → Land → Collect
Shooter Aim → Shoot → Kill → Loot
Puzzle Observe → Think → Solve → Advance
RPG Explore → Fight → Level → Gear

2. Game Design Document (GDD)

Essential Sections

Section Content
Pitch One-sentence description
Core Loop 30-second gameplay
Mechanics How systems work
Progression How player advances
Art Style Visual direction
Audio Sound direction

Principles

  • Keep it living (update regularly)
  • Visuals help communicate
  • Less is more (start small)

3. Player Psychology

Motivation Types

Type Driven By
Achiever Goals, completion
Explorer Discovery, secrets
Socializer Interaction, community
Killer Competition, dominance

Reward Schedules

Schedule Effect Use
Fixed Predictable Milestone rewards
Variable Addictive Loot drops
Ratio Effort-based Grind games

4. Difficulty Balancing

Flow State

Too Hard → Frustration → Quit
Too Easy → Boredom → Quit
Just Right → Flow → Engagement

Balancing Strategies

Strategy How
Dynamic Adjust to player skill
Selection Let player choose
Accessibility Options for all

5. Progression Design

Progression Types

Type Example
Skill Player gets better
Power Character gets stronger
Content New areas unlock
Story Narrative advances

Pacing Principles

Read the full file on GitHub · 130 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 130 lines · 18 tokens per session scan A 93c417904682

Subscribe to this mod's changes

game-design is a skill published in the GitHub repository vudovn/ag-kit (8,170 stars, last pushed 6d ago), licensed MIT. It adds 18 tokens to every session and 639 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Related

Other skills, from other repositories

gameobject-component-destroy

Destroy one or more Components from a target GameObject. Missing (null) components are skipped — they cannot be destroyed. Use 'gameobject-find' and 'gameobject-component-get' to identify the components first.

IvanMurzak/Unity-MCP · 49 tokens

unity-version-split

Split a C# file into Unity 6.5+ and pre-Unity 6.5 variants. Use when a file needs different implementations for different Unity versions due to API changes (e.g., EntityId vs int, GetEntityId vs GetInstanceID).

IvanMurzak/Unity-MCP · 59 tokens

playtest-report

Generates a structured playtest report template or analyzes existing playtest notes into a structured format. Use this to standardize playtest feedback collection and analysis.

Donchitos/Claude-Code-Game-Studios · 35 tokens

unity-manual-component

Manually add, configure, reorder, and copy components on GameObjects using Unity Editor UI. For one-off Inspector workflows that do not need REST automation.

Besty0728/Unity-Skills · 36 tokens

godot-signals-groups

Build event-driven, decoupled Godot 4.7 gameplay with signals and node groups: declare and emit custom signals, connect with Callables (incl. bind/one-shot), and broadcast to many nodes via groups and callgroup. Use when wiring node communication in a Godot project, replacing tight references with signals…

gamedev-skills/awesome-gamedev-agent-skills · 95 tokens

threejs-exposure-color-grading

Build a measured exposure and grading path in Three.js. Use for a 64x36 encoded luminance meter, asynchronous readback, weighted log-average exposure, asymmetric adaptation, single tone-map ownership, and a generated 32-cube post-tone-map LUT.

scottstts/Threejs-Awesome-Graphics-Agent-Skills · 60 tokens