What problem does it solve? Coordinating many parallel AI workers by hand is error-prone: briefs get inconsistent, results arrive scattered, and aggregation becomes manual guesswork. This Skill standardizes fan-out, monitoring, and consolidation so parallel work returns a single consolidated report. ## Core Features & Use Cases - Structured Fan-Out: Spawns N background cloud workers in one message, each with a standalone brief covering goal, scope, verification, and reporting format. - Flexible Shapes: Supports coverage (partitioned slices), races (identical briefs with first-pass, rank-all, or best-of selection), and mixed modes. - Aggregation & Reporting: Collects terminal results into a compact table with evidenced issues, explicit gaps or dropouts, and one consolidated in-chat report. - Use Case: Ask to swarm a codebase review across five modules; each worker audits its slice in an isolated worktree, and you receive one report with PASS/ISSUES/BLOCKED status per module. ## Quick Start Ask the agent to swarm this task with five parallel workers and return one consolidated report.