winrate_loss_ranking
CommunityAnalyze Go game mistakes by winrate drop.
Authorzgbl
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps Go players identify and understand their biggest mistakes in a game by analyzing how much their winrate dropped after each move.
Core Features & Use Cases
- Winrate Loss Calculation: Computes the percentage drop in winrate for both Black and White moves.
- Mistake Ranking: Ranks moves by the severity of the winrate loss, allowing players to focus on critical errors.
- Use Case: After playing a game, a user can use this Skill to see which moves caused the largest decrease in their expected win probability, providing targeted feedback for improvement.
Quick Start
Analyze the provided game data to generate a ranked list of moves with the largest winrate losses.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: winrate_loss_ranking Download link: https://github.com/zgbl/tigergo/archive/main.zip#winrate-loss-ranking Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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