balance-check

Analyze game balance data files against design targets and output a prioritized health assessment.

Updated Apr 25, 2026
One-click install
npx skills add https://github.com/easonlao/jiazi-game --skill balance-check-easonlao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: balance-check
Source: https://github.com/easonlao/jiazi-game/tree/main/.claude/skills/balance-check
Command: npx skills add https://github.com/easonlao/jiazi-game --skill balance-check-easonlao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes assets (resource) and references (resource) components.

What problem does it solve?

It helps you detect broken progressions, outlier values, and imbalanced game economies so your design intent stays consistent after tuning changes.

Core Features & Use Cases

  • Balance domain identification: Automatically selects the right analysis area (economy, progression, loot, combat) from the provided argument or inferred file contents.
  • Structured evidence gathering: Reads relevant balance data from the game’s assets and compares it against the system GDD baseline.
  • Targeted diagnosis and recommendations: Flags outliers, degenerate strategies, progression health issues, and produces prioritized fixes tied to expected value ranges.

Quick Start

Run balance-check and provide either a system name or a path to a balance-related data file so it can analyze the relevant domain and generate a prioritized report.

Frequently Asked Questions about balance-check

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I detect economy imbalances and degenerate builds in game data?

Game balance analysis identifies broken progressions and outlier values by reading economy data files and comparing them against design baseline targets. It performs domain-specific checks on assets to flag degenerate strategies and output a prioritized health report.

What is the best way to run a balance report after tuning game progression and loot systems?

Run a balance report by providing a system name or data file path for automatic domain selection. The tool compares edited progression and loot configurations against the design baseline to produce prioritized structural fixes.

Can I use game design documentation to check progression tuning against expected value ranges?

Yes, progression tuning checks compare asset data against the game design documentation baseline. The tool flags progression health issues and degenerate strategies tied to expected value ranges to ensure design intent stays consistent.

Does outlier detection for game systems require specific data file formats or dependencies?

Outlier detection for game systems has no external dependencies but requires reading data from assets and design documentation. You must provide a system name or a path to a balance-related data file to initialize the domain-specific checks.

When should I run a balance analysis on combat and economy configuration files?

Run a balance analysis on combat and economy configuration files after data edits to catch imbalances introduced by tuning changes. This ensures your design intent remains consistent and identifies progression health issues early.