deep-research-pro

To generate a cited research report, this Skill plans sub-questions, executes web and news search, deep reads full pages, deduplicates evidence, and synthesizes formatted findings with explicit citations and recency awareness.

Evidence-based synthesis for decision-support briefs distinguishes verified findings, risks, and uncertainty across multiple sources, producing grounded conclusions instead of uncited summaries for market, policy, science, and technology topics.

Yes, you can use deep research for market landscape mapping and comparisons. It gathers multi-source web and news coverage across different viewpoints to map key players and deliver cited conclusions for time-sensitive topics.

To research time-sensitive topics without outdated information, this workflow applies recency awareness during web and news search, prioritizing current coverage and full-page deep reading to ensure the final synthesis reflects the latest evidence.

The best way to reduce redundancy when gathering evidence is to apply full-page deep reading and deduplication after multi-source web search, ensuring the final synthesis only contains distinct, high-quality information.

Yes, this cited report generation approach works for policy and science topics alongside markets and technology, by planning targeted sub-questions and executing disciplined web search to synthesize evidence-based conclusions with explicit citations.