deep-research

Automating a literature review involves planning, searching, and synthesizing multiple sources to generate a structured, cited report. This autonomous research Skill executes these multi-step tasks to deliver markdown or JSON outputs.

Autonomous market analysis uses automated planning and multi-source reading to synthesize competitive landscaping data. It works by executing a research query end-to-end, rapidly producing structured, cited findings without manual intervention.

Yes, you need a Gemini API key and Python 3.8+ to run autonomous research tasks. These requirements ensure safe, platform-agnostic operation for executing multi-source analysis and generating structured outputs.

Yes, you can get JSON structured data for due diligence research. The Skill supports outputting markdown reports, JSON structured data, or raw API responses, enabling seamless integration with downstream data processing tools.

The best way to conduct competitive landscaping is using autonomous research that plans, reads, and synthesizes data across multiple sources. This approach delivers rapid, cited findings structured specifically for competitive analysis workflows.

Limitations for technical research tasks include the dependency on external API access and Python 3.8+ environments. While it synthesizes multi-source data autonomously, the quality of cited findings depends on the underlying API capabilities and query scope.