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Game Design Feature Prioritization

by Stanislav Stankovic · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install game-design-feature-prioritization
Description
Prioritize game design feature options by comparing expected impact, implementation cost, strategic fit, and roadmap context. Use when choosing between compe...
README (SKILL.md)

Game Design Feature Prioritization

Choose the strongest next move, not just the loudest idea.

Use this skill to compare candidate features or solution paths and decide what should happen now, later, or not at all. Keep the process practical. Rough structured judgment is better than fake precision, but explicit comparison is still useful.

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

What to produce

Generate:

  1. Candidate list - what is being prioritized
  2. Evaluation matrix - impact, cost, fit, risk, timing
  3. Priority ranking - now, later, discard, or monitor
  4. Recommendation - what should happen next and why

Process

1. List the candidates

Make sure the compared items are clear and meaningfully distinct.

2. Score the options

Use rough structured scoring such as 1-5 for:

  • Impact - expected player or business value
  • Implementation cost - time, resources, complexity
  • Strategic fit - alignment with game direction and roadmap
  • Risk - uncertainty, dependency burden, fragility
  • Timing - whether this is right now or later

3. Interpret in context

Do not choose purely by raw score. Also consider:

  • roadmap sequencing
  • enabling value for future features
  • opportunity cost
  • whether a slightly weaker option is smarter in the long run

4. Recommend action

For each option, classify it as:

  • Do now
  • Test first
  • Do later
  • Discard for now

Response structure

Candidates

  • ...

Evaluation Matrix

Option Impact Cost Strategic Fit Risk Timing Notes

Priority Ranking

  • ...

Recommendation

  • ...

Fast mode

  • What are we choosing between?
  • Which option has the best impact-to-cost profile?
  • Which option best fits the roadmap right now?
  • What should we do now, later, or not at all?

Working principle

The locally optimal choice is not always the strategically best one.

Usage Guidance
This skill appears safe and coherent for prioritizing game design features. Before using it, avoid pasting sensitive credentials or proprietary files into prompts (the skill will use whatever you give it to form recommendations). If you want extra assurance, review the included references/family-conventions.md (it's present and harmless) and confirm you are comfortable with the agent producing prioritized outputs from any project data you provide.
Capability Analysis
Type: OpenClaw Skill Name: game-design-feature-prioritization Version: 1.0.0 The skill bundle is a set of markdown instructions and metadata designed to guide an AI agent through game design feature prioritization. It contains no executable code, network requests, or file system operations beyond reading its own documentation (SKILL.md and references/family-conventions.md). There are no signs of prompt injection attacks, data exfiltration, or malicious intent.
Capability Assessment
Purpose & Capability
The name and description match the SKILL.md: the skill is a decision tool for prioritizing game features. It requests no binaries, env vars, or config paths—appropriate for an instruction-only prioritization helper.
Instruction Scope
Runtime instructions only describe listing candidates, scoring them on impact/cost/fit/risk/timing, interpreting context, and recommending actions. The only referenced file is references/family-conventions.md, which is included and contains non-sensitive conventions. The instructions do not ask the agent to read unrelated system files, access credentials, or transmit data externally.
Install Mechanism
No install spec and no code files. Because this is instruction-only, nothing is written to disk or downloaded during install.
Credentials
The skill declares no required environment variables, credentials, or config paths. There is no disproportionate or unexplained secret access.
Persistence & Privilege
always is false and the skill is user-invocable; autonomous invocation is allowed by default on the platform but the skill does not request elevated or persistent privileges or modify other skills' configs.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install game-design-feature-prioritization
  3. After installation, invoke the skill by name or use /game-design-feature-prioritization
  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-feature-prioritization
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Game Design Feature Prioritization?

Prioritize game design feature options by comparing expected impact, implementation cost, strategic fit, and roadmap context. Use when choosing between compe... It is an AI Agent Skill for Claude Code / OpenClaw, with 103 downloads so far.

How do I install Game Design Feature Prioritization?

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

Is Game Design Feature Prioritization free?

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

Which platforms does Game Design Feature Prioritization support?

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

Who created Game Design Feature Prioritization?

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

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