game design option generation
Generate and evaluate multiple game design solution paths with detailed tradeoff analysis.
$5
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
GitHub Copilot
Gemini CLI+20 moreClaude CodeCursorCodex CLIGitHub CopilotGemini CLI
OpenClaw
Manus
Grok+17 agentsgame design option generation
Example session with this skill installed
We need to improve our daily login rewards. Current engagement is dropping after day 3. The economy is sensitive to premium currency inflation. Give me some options.
- Read your context and instructions
- Compiled the game design option
- Generated the UI component
I have analyzed the daily login drop-off and the inflation risks. Here are three distinct paths to stabilize engagement while protecting the economy.
Daily Login Solution Paths
Problem Framing
The goal is to extend the engagement loop beyond the 3-day drop-off point. The primary tension is providing high-value incentives to keep players returning without flooding the economy with premium currency that devalues late-game purchases.
Options
| Option | Name | Core Mechanic | Player Impact | Implementation |
|---|---|---|---|---|
| 1 | The Milestone Streak | Escalating rewards that reset on miss, with a massive 'pity' chest at day 7. | High pressure to return; high satisfaction at day 7. | Medium - requires new streak logic. |
| 2 | Progressive Luck Buffer | Logins grant 'Luck Charges' that increase drop rates in standard gameplay. | Integrates rewards into core loop rather than just a popup. | High - touches loot table systems. |
| 3 | Choice-Based Calendar | Players select one of three tracks (Resource, Combat, or Cosmetic) each week. | High agency; players self-select what they value most. | Low - UI change to existing tables. |
Tradeoffs
- Option 1: The Milestone Streak
- Strengths: Strongest psychological pull for short-term retention.
- Weaknesses: High frustration if a streak is broken; can feel like a chore.
- Strategic Fit: Best for games with low session frequency.
- Option 2: Progressive Luck Buffer
- Strengths: Zero inflation risk as it scales with active play.
- Weaknesses: Less tangible than getting a specific item; harder to market.
- Strategic Fit: Best for ARPGs or looter-shooters.
- Option 3: Choice-Based Calendar
- Strengths: Eliminates the "useless reward" feeling.
- Weaknesses: Slightly higher cognitive load during the first login of the week.
- Strategic Fit: Excellent for mid-core games with diverse player archetypes.
Recommendation
Path 3 (Choice-Based Calendar) is the strongest starting point. It addresses the drop-off by ensuring the rewards remain relevant to the specific player's needs, reducing the "dead days" that lead to churn. I suggest testing this for one month, while keeping
Option 2 in reserve if inflation metrics stay high.
Next steps
- Define the three reward tracks based on current inventory sinks.
- Draft the UI mockups for the track selection screen.
- Set up A/B testing groups for the new calendar versus the legacy streak.
game-design-option-generation.tsx
TSX · React component
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
Designers often commit to the first viable solution they find, ignoring better alternatives. Teams get stuck in circular arguments over a single favorite idea without seeing the broader mechanical or economic landscape.
What it does
- Frames the core problem by identifying hidden constraints and system tensions.
- Generates at least three distinct, credible solution paths for any design challenge.
- Analyzes each path through multiple lenses like transformative reuse or ideal outcomes.
- Evaluates every option against player value, implementation cost, and strategic risk.
- Provides a clear recommendation on which path to prioritize, test, or discard.
Why this beats prompting it yourself
Generic prompts result in shallow brainstorming or single-track thinking. This skill forces a rigorous multi-path evaluation, ensuring you don't miss non-obvious solutions or underestimate implementation burdens before you commit resources.
Use cases
- Comparing different monetization models for a new live-ops event.
- Solving UX friction in a complex crafting or inventory system.
- Balancing an economy issue where inflation is ruining player progression.
- Pitching new feature mechanics that need to fit within existing tech constraints.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
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