What problem does it solve? Code tells you what it does but rarely why it exists. This Skill reconstructs the historical motivation behind code—design decisions, tradeoffs, rejected alternatives, and incident-driven defenses—by searching fragmented evidence across source control, tickets, docs, chat, observability, error tracking, and analytics systems. ## Core Features & Use Cases - Parallel multi-source investigation: Spawns one investigator per evidence category (git/gh, issue trackers, Notion-style docs, Slack-style chat, Datadog-style observability, Sentry-style error tracking, warehouse analytics) based on MCPs available at runtime. - Confidence-calibrated synthesis: A dedicated synthesizer merges findings into a cited narrative that strictly separates direct evidence, inference, competing hypotheses, and explicit gaps. - Use Case: Ask "why is this upload limit clamped at 128 KB?" and receive a cited answer tracing the constant to a PR discussion, a p99 data distribution, and a monitor threshold—or an honest statement that no rationale was found. ## Quick Start Ask the agent to use the why skill to explain why a specific function or design decision in the current codebase was made.