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bot-showalter

bot-showalter contains 10 collected skills from edpaget, with repository-level occupation coverage and site-owned skill detail pages.

skills collected
10
Stars
0
updated
2026-03-22
Forks
0
Occupation coverage
4 occupation categories · 100% classified
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Skills in this repository

rdm-document
software-developers

Generate user documentation from a completed rdm roadmap

2026-03-22
rdm-implement
software-developers

Implement the next phase of an rdm roadmap

2026-03-22
rdm-review
software-quality-assurance-analysts-and-testers

Review implementation of an rdm phase or task

2026-03-22
rdm-roadmap
software-developers

Create an rdm roadmap with phases for a topic

2026-03-22
rdm-tasks
project-management-specialists

Work on rdm tasks

2026-03-22
fbm
software-developers

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
data-scientists-152051

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
data-scientists-152051

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
data-scientists-152051

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
software-quality-assurance-analysts-and-testers

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