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Game Design Five Options

Community
Stanestane
game-design-five-options

Generate and compare at least five game design solution options for a feature, system, UX issue, live-ops problem, or design challenge. Use when several ideas already exist, when a team needs broader comparison before choosing, or when one favorite answer is dominating too early and better alternatives may be getting ignored.

Overview

PublisherStanestane
Repositorygame-design-skills-bundle
Skill namegame-design-five-options
Stars
87
Forks
18
Bundled files
1
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 Stanestane on GitHub. Read the source before you install it.

Installation

Install the Game Design Five Options 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/Stanestane/game-design-skills-bundle/tree/master/game-design-five-options
  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/Stanestane/game-design-skills-bundle.git /tmp/game-design-skills-bundle
mkdir -p .claude/skills
cp -r /tmp/game-design-skills-bundle/game-design-five-options .claude/skills/game-design-five-options
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Game Design Five Options 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 Game Design Five Options 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 Game Design Five Options 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.

Game Design Five Options

Force the design space open before it closes too early.

Use this skill when a team already has ideas and needs a structured way to compare them. The aim is to avoid premature convergence by putting several options side by side, then assessing their differences in value, cost, and risk.

Read references/family-conventions.md when you need the shared conventions for this GROW-derived skill family.

What to produce

Generate:

  1. Problem statement - what needs solving
  2. Five options - distinct solution directions
  3. Pros and cons - the upside and downside of each
  4. Rough comparison - impact, cost, and fit
  5. Recommendation - the best option or best test candidate

Process

1. Define the problem

State clearly what outcome the options are trying to achieve.

2. Generate five distinct options

Push for real differences, not five tiny variations of the same idea.

3. Evaluate each option

For each one, describe:

  • summary
  • strengths
  • weaknesses
  • expected player impact
  • implementation difficulty
  • strategic fit

Optional: include SWOT-style notes if useful.

4. Prioritize

Recommend:

  • the best immediate choice
  • the fastest testable version
  • any options that should be discarded or held for later

Response structure

Problem

  • ...

Five Options

  1. ...
  2. ...
  3. ...
  4. ...
  5. ...

Comparison

  • ...

Recommendation

  • ...

Fast mode

  • What are five credible ways to solve this?
  • Which one is strongest now?
  • Which one is cheapest to test?

Working principle

There is almost always more than one viable answer. Make the alternatives visible.


Part of the Game Design Skills Bundle by Stanislav Stankovic. Licensed under PolyForm Noncommercial 1.0.0 — free for personal, academic and nonprofit use. Commercial use requires a licence, sold as skill packs. See https://github.com/Stanestane/game-design-skills-bundle for terms.

Required Notice: Copyright Stanislav Stankovic (https://www.stane-island.net/)

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 Game Design Five Options AI skill do?

Generate and compare at least five game design solution options for a feature, system, UX issue, live-ops problem, or design challenge. Use when several ideas already exist, when a team needs broader comparison before choosing, or when one favorite answer is dominating too early and better alternatives may be getting ignored.

Why use Game Design Five Options on TypingMind?

Because you install it once and use it with any model. Game Design Five Options 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 Game Design Five Options in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Stanestane/game-design-skills-bundle/tree/master/game-design-five-options. 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 Game Design Five Options?

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 Game Design Five Options?

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

Is the Game Design Five Options AI skill free?

It is published on GitHub by Stanestane. Check the repository for licensing terms. 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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