Multi-agent research orchestration: split a research goal into parallel sub-goals, run each via headless claude -p subprocesses, aggregate results into a polished report file. Use for systematic web/document research, competitive or industry analysis, batch link/dataset processing, and long-form evidence synthesis. Triggers: "深度调研", "deep research", "wide research", "多 Agent 调研", "系统调研".
How to install deep-research?
feiskyer/claude-code-settings/deep-research
$npx -y skills add feiskyer/claude-code-settings --skill deep-researchInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/feiskyer/claude-code-settings" --skill "feiskyer/claude-code-settings/deep-research"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/feiskyer/claude-code-settings" that are relevant to the current task. Run `npx skills add "https://github.com/feiskyer/claude-code-settings"` and select the relevant skills, then follow their instructions.
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