What problem does it solve? Complex tasks often exceed what a single agent pass can handle reliably, and naive parallelization risks overlapping work, leaked secrets, and unverified results. This Skill runs the Aurora orchestration engine to split a task into disjoint workstreams, verify them adversarially, and merge one synthesized answer. ## Core Features & Use Cases - Parallel decomposition: Classifies the task, splits it into pairwise-disjoint scopes, and fans out parallel claude -p workers. - Adversarial verification: Each workstream gets falsification review and mechanical secret-scrubbing, with a fail-closed judge panel at the join. - First-party sandboxing: Workers have no Bash, no web, no sub-agent spawning, all MCP denied, and no access to secrets; budget is capped at 500K tokens. - Use Case: Ask to have a team refactor a large codebase module — the engine decomposes it into independent scopes, runs workers in parallel, verifies each result, and returns one synthesized answer. ## Quick Start Type /team followed by your task, or ask to fan out a task across a team of parallel Claude workers, and relay the streamed progress and final synthesized answer.