What problem does it solve? When demand exceeds capacity, teams often pull work in FIFO order or by whoever shouts loudest, leaving high-value items stuck behind trivial ones. This Skill governs the Kanban input queue so that what enters the system, and in what order, is decided by economic criteria rather than arrival order. ## Core Features & Use Cases - Cost of Delay & WSJF Prioritization: Estimate cost of delay from user value, time criticality, and risk reduction, then order the queue by WSJF (CoD / job size) to minimize total delay cost. - Classes of Service: Assign expedite, fixed date, standard, or intangible policies per item, with a hard limit of one expedite item and reserved capacity for intangible work like technical debt. - Cadenced Replenishment: Define a fixed replenishment meeting cadence that commits a prioritized batch up to the queue limit instead of reactive drip-feeding. - Use Case: A product team faces 40 backlog requests and capacity for 8. Use this Skill to triage the requests, score cost of delay, order by WSJF, assign classes of service, and produce a kanban-queue.md artifact with the replenishment policy. ## 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.
