What problem does it solve? Teams running Kanban boards often cannot answer "when will it be done?" with evidence, relying on gut feeling or misleading averages instead of real flow data. This Skill turns timestamped board transitions into objective flow metrics, bottleneck detection, and a probabilistic Service Level Expectation that stakeholders can trust. ## Core Features & Use Cases - Four Flow Metrics: Computes cycle time, lead time, throughput, and WIP from per-column transition timestamps, and validates them against Little's Law (Lead Time ≈ WIP / Throughput). - Cumulative Flow Diagram Analysis: Builds and interprets the CFD to locate bottlenecks — the widening band marks the state where work accumulates faster than it is released. - Percentile-Based Forecasting: Reports p50/p85/p95 distributions instead of averages and formulates a verifiable SLE such as "85% of standard requests complete in 12 days or less." - Use Case: A product team with six weeks of board history uses this Skill to discover that the Review column is the bottleneck, verify Little's Law consistency, and commit to a p85 delivery expectation with stakeholders. ## Quick Start Ask the assistant to measure the Kanban flow metrics from your board's column transition timestamps and produce the CFD, percentile table, and a Service Level Expectation.
