What problem does it solve? Retrospectives run from memory rehash opinions instead of facts. This Skill renders a sprint retro pack directly from the waybill ledger, so shipped work, estimate accuracy, token costs, and waste are grounded in metered data rather than recollection. ## Core Features & Use Cases - Shipped work summary: Lists each shipped item with points, PRs, tokens, and cost from the ledger report. - Estimate calibration: Compares pre-registered estimates against actuals, plainly naming items that exceeded the no-Claude estimate range. - Model mix and waste analysis: Reports tokens-per-point by dominant model, retried commands, reopened items, and cache savings derived from the spend ledger. - Use Case: At the end of a two-week sprint, ask for a retro and receive a fact-based pack showing which estimates held, which model carried which stories, and which items sat idle with spend attached. ## Quick Start Ask the assistant to run a retro for your last sprint so it queries the waybill ledger and renders the fact-based retro pack.