Run ML training pipeline steps (specialists, core, evaluation, forecasts, monte-carlo). Use when user asks to run or re-run any part of the prediction pipeline.
Use when the user says "review my code", "check my changes", "run a review", "anything I should fix before merging", or wants a pre-commit or pre-PR quality check on local changes. Runs both CodeScene (structural code health) and cubic (AI semantic review) then surfaces all issues grouped by severity.
Run the full project verification gate. Use before committing or when user says "verify", "check", or "run checks".
Use when the user asks about codebase architecture, "how does X work", system design, onboarding to a project, or needs context about how parts of the codebase connect. Queries cubic's AI Wiki for the current repository to provide architectural context.
Use when the user says "check cubic comments", "cubic issues", "cubic feedback", "cubic code review", "fix issues", "address review", or is working on a pull request branch with open review comments. Fetches all PR issues from cubic, investigates each one, and reports back which are worth fixing before taking action.
Use when the user is writing code, reviewing code, asking about code quality standards, or wondering "what does this team care about in reviews". Pulls team-specific review learnings from cubic to apply the team's coding conventions and review preferences.