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stanestane

Game Design Option Generation

by Stanislav Stankovic · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install game-design-option-generation
Description
Generate multiple game design solution paths before committing to one direction. Use when a feature, live-ops idea, UX problem, economy issue, or design chal...
README (SKILL.md)

Game Design Option Generation

Generate multiple credible ways forward before choosing one.

Use this skill to expand the solution space around a game design problem, feature pitch, or design goal. Keep the work practical. The aim is not random brainstorming. The aim is to produce several plausible options, clarify what makes them different, and expose tradeoffs early.

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

What to produce

Generate:

  1. Problem framing - what needs solving
  2. Option set - at least 3 credible solution paths
  3. Tradeoff summary - player value, business value, cost, risk, strategic fit
  4. Recommendation - which path is strongest and why

Process

1. Frame the problem

Clarify:

  • what outcome is desired
  • what constraint or tension matters most
  • what existing system context cannot be ignored

2. Generate multiple options

Always produce several options before deciding.

Use one or more of these lenses:

  • Five-options - compare several existing ideas
  • Obstacle - imagine the main blocker removed, then derive paths around it
  • Ideal outcome - work backward from the best player-facing result
  • Transformative reuse - adapt or extend what already exists
  • Outside-the-box - deliberately include non-obvious options

3. Compare options

For each option, describe:

  • summary
  • strengths
  • weaknesses
  • likely player effect
  • implementation burden
  • strategic fit

4. Recommend a path

Choose the strongest option, or recommend a sequence such as test one now, hold one in reserve, discard the rest.

Response structure

Problem Framing

  • ...

Options

  1. ...
  2. ...
  3. ...

Tradeoffs

  • Option A: ...
  • Option B: ...
  • Option C: ...

Recommendation

  • ...

Fast mode

  • What problem are we actually solving?
  • What are 3-5 plausible ways to solve it?
  • Which one is best now, and why?

Working principle

Do not confuse the first decent answer with the best available direction.

Usage Guidance
This skill appears self-contained and safe: it only provides instructions for generating multiple game-design options and includes a small reference file. Before installing, consider what you will feed the skill — don't paste unreleased proprietary design docs or secrets into prompts. The skill does not require credentials or install anything, and it won't persistently modify the agent; still review outputs for confidentiality before sharing externally.
Capability Analysis
Type: OpenClaw Skill Name: game-design-option-generation Version: 1.0.0 The skill bundle contains only metadata and markdown instructions for a game design brainstorming workflow. There is no executable code, shell commands, or network activity. The instructions in SKILL.md and references/family-conventions.md are strictly aligned with the stated purpose of generating and comparing game design options and do not contain any malicious prompt injection or data exfiltration attempts.
Capability Assessment
✓ Purpose & Capability
Name/description ask for multiple design options; the skill contains only guidance and a small reference file and requests no binaries, env vars, or external services — all consistent with a design helper.
✓ Instruction Scope
SKILL.md instructs the agent to produce problem framing, multiple options, tradeoffs, and a recommendation. It only references the included family-conventions.md file for conventions and does not direct the agent to read unrelated files, access system state, or call external endpoints.
✓ Install Mechanism
No install spec and no code files — the skill is instruction-only so nothing is written to disk or downloaded during install.
✓ Credentials
The skill requires no environment variables, credentials, or config paths; requested access is proportional to a purely instructional/design skill.
✓ Persistence & Privilege
always is false (default), and the skill does not request system persistence or modifications to other skills. Model invocation is allowed (platform default) but that is appropriate for an interactive design helper.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install game-design-option-generation
  3. After installation, invoke the skill by name or use /game-design-option-generation
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug game-design-option-generation
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Game Design Option Generation?

Generate multiple game design solution paths before committing to one direction. Use when a feature, live-ops idea, UX problem, economy issue, or design chal... It is an AI Agent Skill for Claude Code / OpenClaw, with 106 downloads so far.

How do I install Game Design Option Generation?

Run "/install game-design-option-generation" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Game Design Option Generation free?

Yes, Game Design Option Generation is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Game Design Option Generation support?

Game Design Option Generation is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Game Design Option Generation?

It is built and maintained by Stanislav Stankovic (@stanestane); the current version is v1.0.0.

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