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Rate each phase's difficulty and assign a model tier from its body

Act on document reviews requesting changes — work each comment and drive the review to addressed

Review the plan for an rdm roadmap, phase, or task before implementation begins

Implement an rdm roadmap phase or work on an rdm task — plan, execute, then finalize into needs-review for rdm-review

Create an rdm roadmap with phases for a topic

Run a batched backlog grooming pass over rdm's stale/duplicate/tag-cluster/archivable signals and emit a reviewable, propose-only plan of exact rdm commands — no mutations

Drive one named rdm roadmap from not-started to reviewed autonomously — pick the next actionable phase, estimate it, dispatch it on its model tier, interpret the outcome, and advance — batching decisions and blockers instead of interrupting

Dispatch a single rdm phase end-to-end in the roadmap's shared worktree on its assigned model tier — plan, independently review the plan, implement, then code-review — and return a structured outcome

Generate user documentation from a completed rdm roadmap

Implement the next phase of an rdm roadmap

Review implementation of an rdm phase or task

Create an rdm roadmap with phases for a topic

Work on rdm tasks

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.

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".

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".

Generate user documentation from a completed rdm roadmap

Implement the next phase of an rdm roadmap

Review implementation of an rdm phase or task

Create an rdm roadmap with phases for a topic

Work on rdm tasks

Generate user documentation from a completed rdm roadmap

Implement the next phase of an rdm roadmap

Review implementation of an rdm phase or task

Create an rdm roadmap with phases for a topic

Work on rdm tasks

Generate user documentation from a completed rdm roadmap

Implement the next phase of an rdm roadmap

Review implementation of an rdm phase or task

Create an rdm roadmap with phases for a topic

Work on rdm tasks