game-design-feature-prioritization

Prioritize game design feature options by comparing expected impact, implementation cost, strategic fit, and roadmap context. Use when choosing between competing feature ideas, deciding what to do now versus later, ranking solution paths after ideation, or identifying which option is best immediately and which is better long-term.

Safety Notice

This listing is from the official public ClawHub registry. Review SKILL.md and referenced scripts before running.

Copy this and send it to your AI assistant to learn

Install skill "game-design-feature-prioritization" with this command: npx skills add stanestane/game-design-feature-prioritization

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

OptionImpactCostStrategic FitRiskTimingNotes

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.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Related Skills

Related by shared tags or category signals.

General

TOKEN SOP

自动保存并本地调用已执行任务,避免重复消耗Token,实现离线秒级响应,提升效率与节省费用。

Registry SourceRecently Updated
General

Facebook-poster

Generuoja kasdienius įtraukiamus Facebook įrašus lietuvių kalba, kad sujungtų Qvicker.lt vartotojus su vietiniais paslaugų meistrais.

Registry SourceRecently Updated
General

TOKEN SOP

自动缓存并复用本地成功工作流,优先本地执行节省Token,支持断网使用和云端备份共享。

Registry SourceRecently Updated
General

generate-personal-brand-ad-creative-brief

Plan campaign visuals and hooks for personal brand promotions. Use when working on paid campaign planning for thought leaders, coaches, personal brand...

Registry SourceRecently Updated