What problem does it solve? Post-incident reviews often rely on faulty human memory, producing inaccurate timelines that obscure root causes and delay learning. This Skill reconstructs precise, second-level incident timelines by correlating server logs, metrics dashboards, and chat history into a single authoritative record. ## Core Features & Use Cases - Multi-Source Correlation: Merges server logs, metrics (CPU, latency, error rates), and chat messages into one chronological timeline with source attribution. - Critical Metrics Calculation: Computes detection lag, response lag, remediation time, customer impact duration, and total incident duration. - Contributing Factor Analysis: Identifies systemic weaknesses such as missing query timeouts, absent connection pool monitoring, or lack of circuit breakers. - Use Case: After a database outage, feed the on-call engineer's logs, monitoring alerts, and Slack history into this Skill to produce a markdown timeline table with root cause, detection, mitigation, and recovery events for the postmortem document. ## Quick Start Create an incident timeline from these server logs, metrics snapshots, and chat history, including detection lag and remediation time calculations.