deep-research

Deep research multi-agent orchestration workflow: Break down a research objective into parallel sub-goals, run subprocesses using Claude Code non-interactive mode (`claude -p`); prioritize using installed skills for networking and data collection, followed by MCP tools; aggregate sub-results with scripts and refine by chapter, ultimately delivering "final report file path + key conclusions/recommendations summary." Used for: systematic web/data research, competitive/industry analysis, bulk link/data set fragment retrieval, long-form writing and evidence integration, or user mentions of "deep research/Wide Research/multi-agent parallel research/multiprocessing research" and other scenarios.