Individual skill
evo-excel-match-analyzer
Scores dice games and compares paired matches between players. Loads Excel dice roll data, computes scores using 6 scoring categories (high_and_often, summation, highs_and_lows, only_two_numbers, all_the_numbers, ordered_subset_of_four), finds optimal game scores by pairing different categories across 2 turns, then pairs odd/even games for head-to-head match comparison.
tasks-evolved/financial-modeling-qa/environment/skills/evo-excel-match-analyzer/SKILL.md
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- Apache-2.0
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SKILL.mdcore · 3,122 bytesSKILL.mdcore · 3,122 bytesscripts/utils.pyruns · 6,995 bytes
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# Excel Match Analyzer
Analyzes dice game data from Excel files. Computes game scores using 6 scoring
categories, then pairs odd-numbered games (Player 1) vs even-numbered games
(Player 2) for match comparison.
## Usage
```python
import sys
sys.path.insert(0, '/app/environment/skills/evo-excel-match-analyzer/scripts')
from utils import (
load_excel_data, compute_all_game_scores, split_by_parity,
compare_paired_matches, compute_win_difference, write_answer