What problem does it solve? Teams with more demand than capacity often pull work in FIFO order or by whoever asks loudest, leaving high-value items stuck behind trivial requests. This Skill governs the Kanban input queue so the highest-value work enters the system first, minimizing lead time where it matters most. ## Core Features & Use Cases - Cost of Delay & WSJF Prioritization: Score items by user value, time criticality, and risk reduction, then order the queue by WSJF (CoD divided by job size) instead of arrival order. - Classes of Service: Assign expedite, fixed-date, standard, or intangible classes with explicit policies, including a limit of one expedite item and reserved capacity for intangible work like technical debt. - Cadenced Replenishment: Define a fixed replenishment meeting cadence that decides when, how much, and what enters the committed queue. - Use Case: A product team drowning in requests uses this Skill to triage the backlog, score each item's cost of delay, assign service classes, and produce a prioritized queue with a weekly replenishment policy in plan-execution/kanban-queue.md. ## Quick Start Ask the AI to prioritize your Kanban input queue by estimating cost of delay and WSJF for each backlog item, assigning classes of service, and defining a weekly replenishment policy.
