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GitHub リポジトリ

bot-showalter

bot-showalter には edpaget から収集した 10 個の skills があり、リポジトリ単位の職業カバレッジとサイト内 skill 詳細ページを表示します。

収集済み skills
10
Stars
0
更新
2026-03-22
Forks
0
職業カバレッジ
4 件の職業カテゴリ · 100% 分類済み
リポジトリエクスプローラー

このリポジトリの skills

rdm-document
ソフトウェア開発者

Generate user documentation from a completed rdm roadmap

2026-03-22
rdm-implement
ソフトウェア開発者

Implement the next phase of an rdm roadmap

2026-03-22
rdm-review
ソフトウェア品質保証アナリスト・テスター

Review implementation of an rdm phase or task

2026-03-22
rdm-roadmap
ソフトウェア開発者

Create an rdm roadmap with phases for a topic

2026-03-22
rdm-tasks
プロジェクト管理専門家

Work on rdm tasks

2026-03-22
fbm
ソフトウェア開発者

Run fantasy baseball projection commands — predict, evaluate, compare systems, look up player projections/valuations, manage cached datasets, evaluate keeper league trades and optimization, run draft boards and mock drafts, and use Yahoo Fantasy integration for rosters, draft tracking, and keeper cost derivation. Use this when the user asks to run projections, compare systems, evaluate accuracy, look up a player, check valuations, manage/rebuild cached datasets, evaluate keeper league decisions/trades/optimization, view draft boards, run mock drafts, sync Yahoo league data, or manage Yahoo-derived keeper costs.

2026-03-11
experiment-breakout-bust
データサイエンティスト

Run an autonomous feature-engineering experiment loop on the breakout-bust classification model. Tests candidate features against P(breakout) and P(bust) probability targets using marginal-value with auto-logging. Use when the user asks to "experiment on breakout-bust", "improve breakout-bust", or "explore features for breakout".

2026-03-06
experiment-playing-time
データサイエンティスト

Run an autonomous feature-engineering experiment loop on the playing-time regression model. Tests candidate features against PA (batters) and IP (pitchers) targets using marginal-value with auto-logging. Use when the user asks to "experiment on playing-time", "improve playing-time", or "explore features for playing time".

2026-03-06
experiment
データサイエンティスト

Run an autonomous feature-engineering experiment loop on the statcast-gbm model (default). Analyzes residuals, generates feature hypotheses, screens via correlation, tests with fast feedback tools, logs results to the experiment journal, and validates winners. Use when the user asks to "experiment on", "explore features for", or "improve" the statcast-gbm model, or says "experiment on batter/pitcher" without specifying a model. Do NOT use for breakout-bust or playing-time — those have dedicated skills.

2026-03-06
review
ソフトウェア品質保証アナリスト・テスター

Review recent changes against the architectural principles in docs/principles.md. Flags semantic violations that static analysis cannot catch. Use when you want to check a commit, diff, or set of changes for principle violations.

2026-02-28
bot-showalter GitHub Agent Skills | SkillsMP