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game design leaderboard builder
Design balanced, mathematically sound leaderboard systems and league ladders for games.
$10
Works with the AI tools you already use
game design leaderboard builder
Example session with this skill installed
I need a leaderboard for a mid-core mobile RPG. 50k active players, weekly rounds. Score is 'Trophy Count' earned in PvP. Rewards are gems and shards. I want moderate dev complexity.
- Read your context and instructions
- Compiled the game design leaderboard
- Generated the UI component
I have processed your requirements for the RPG PvP leaderboard.
Confirmed inputs:
- Score: Trophy Count (PvP)
- Player pool: 50,000
- Round length: 7 days
- Context: Mid-core mobile
- Rewards: Gems and Shards
- Complexity: Standard (League Ladder)
- Assumptions: Matched grouping based on progress; standard 10% promotion rate.
Leaderboard System Specification
Group Structure
Recommended Group Size: 50 players. This creates an intimate competitive environment where every win noticeably shifts rank.
- Total Groups: 1,000 groups across all leagues.
League Ladder
| League | Name | Groups | Players | Notes |
|---|---|---|---|---|
| 5 (Top) | Grandmaster | 1 | 50 | Single group elite tier |
| 4 | Master | 10 | 500 | High-tier competitive |
| 3 | Diamond | 70 | 3,500 | Mid-high tier |
| 2 | Gold | 250 | 12,500 | Core active population |
| 1 (Entry) | Silver | 669 | 33,450 | Entry point for all new players |
Promotion & Demotion
- Promote: Top 5 players (10%) move up one league.
- Safe Zone: Ranks 6–40 (70%) remain in current league.
- Demote: Ranks 41–50 (20%) drop one league.
Sandbagging Mitigation: Late-round score freeze. Standings are locked 4 hours before round end to prevent sniping.
Reward Brackets (Per Group of 50)
| Bracket | Ranks | Players | Reward (Base) |
|---|---|---|---|
| Apex | 1 | 1 | 500 Gems, 20 Hero Shards |
| Elite | 2–5 | 4 | 200 Gems, 10 Hero Shards |
| Contender | 6–15 | 10 | 100 Gems, 5 Hero Shards |
| Participant | 16–30 | 15 | 25 Gems |
| Unranked | 31–50 | 20 | None |
Goal Density Summary
| Goal Tier | Mechanism | Assessment |
|---|---|---|
| Immediate | Neighbor scores in UI | Strong |
| Short-term | Reward bracket cut-offs | Strong |
| Medium-term | Promotion to next League | Moderate |
| Long-term | Reaching Grandmaster | High |
Next steps
- Define the specific "Gem" values for each League tier to ensure Grandmaster rewards feel significantly better than Silver.
- Implement telemetry to track how many players in the "Safe Zone" stop playing mid-week.
- Finalize the "Grandmaster" reset policy (Option B: Seasonal soft reset recommended).
game-design-leaderboard-builder.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
Basic leaderboards often feel stagnant or unfair, leading to player churn. Developers frequently struggle to balance group sizes, reward inflation, and competitive integrity across different player tiers.
What it does
- Generates a full league ladder hierarchy with calculated group sizes and player distributions.
- Designs promotion and demotion thresholds to maintain long-term goal density and player engagement.
- Constructs reward bracket tables balanced against game economy and player pool size.
- Defines technical rules for round resets, score velocity, and anti-sandbagging mitigations.
- Provides a top-of-ladder sustainability strategy to prevent veteran stagnation.
Why this beats prompting it yourself
General LLMs often suggest generic ranking lists that don't account for the mathematical reality of group scaling or reward inflation. This skill uses a structured framework to ensure every design choice—from group matching to league pyramids—is mathematically consistent and ready for a technical spec.
Use cases
- Designing a new competitive "Season" system for a mobile F2P title.
- Redesigning a flat leaderboard into a multi-tier league system for better retention.
- Drafting a technical specification for engineers to build a matched-group ranking service.
- Auditing an existing leaderboard to identify why players have stopped competing.
Known limitations
Requires an initial intake phase to establish player pool size and score velocity before generating the design.
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
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