ab-test-setup
FreePlan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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Game balance audit: outliers, broken progressions, degenerate strategies, economy imbalances from data files.
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See how to installReview the instructions the agent will receive before you install.
Determine the balance domain from $ARGUMENTS[0]:
If no argument, ask the user which system to check.
Read relevant files from assets/data/ and design/balance/ for the identified domain.
Note every file read — they will appear in the Data Sources section of the report.
Read the GDD for the system from design/gdd/ to understand intended design targets,
tuning knobs, and expected value ranges. This is the baseline for "correct" behaviour.
Run domain-specific checks:
Combat balance:
Economy balance:
Progression balance:
Loot balance:
## Balance Check: [System Name]
### Data Sources Analyzed
- [List of files read]
### Health Summary: [HEALTHY / CONCERNS / CRITICAL ISSUES]
### Outliers Detected
| Item/Value | Expected Range | Actual | Issue |
|-----------|---------------|--------|-------|
### Degenerate Strategies Found
- [Strategy description and why it is problematic]
### Progression Analysis
[Graph description or table showing progression curve health]
### Recommendations
| Priority | Issue | Suggested Fix | Impact |
|----------|-------|--------------|--------|
### Values That Need Attention
[Specific values with suggested adjustments and rationale]
After presenting the report, ask:
"Would you like to fix any of these balance issues now?"
If yes:
assets/data/ or formula in design/balance/"This value is defined in a design document. Run
/consistency-checkafter updating the GDD to find the documents that depend on it before committing."
If no:
design/balance/balance-check-[system]-[date].md for laterEnd with:
"Re-run
/balance-checkafter fixes to verify."
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Plan, design, and implement A/B tests and experiments with statistical rigor. Covers hypothesis frameworks, sample sizing, metrics, and result analysis.
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The English summary is being prepared. Showing the original description.