What problem does it solve? Complex tasks often exceed what a single linear agent pass can handle well, leading to shallow results or missed angles. This Skill splits broad jobs into focused workstreams executed by parallel worker agents, then merges their outputs centrally. ## Core Features & Use Cases - Parallel Worker Spawning: Uses sessions_spawn, sessions_send, and sessions_list to create, assign, and monitor multiple worker agents. - Task Decomposition Strategy: Breaks a job into independent workstreams such as UI, backend, tests, and research, each with a narrow objective and clear deliverable. - Routing and Synthesis: Routes workers to specialized skills like coding-agent when needed, while the conductor agent merges outputs and resolves conflicts. - Use Case: When asked to build a full-stack feature, spawn one worker for the UI, one for the backend, and one for tests, then synthesize their results into a coherent final deliverable. ## Quick Start Ask the agent to split this project into parallel workstreams and coordinate worker agents to complete each part, then merge the results.