research

To systematically gather web research, use search_web to locate sources, read_url_content to extract content, and browser_subagent for complex docs, then organize findings into structured knowledge under a /research/<topic>/ directory with sources.md, logs.txt, and draft.md files.

The best way to synthesize literature review data is to extract content from multiple sources, organize raw data into a /research directory, and use tables and Mermaid diagrams to compare methods and map architectures or workflows for analysis.

Yes, you can use browser_subagent to perform deep dives and extract content from PDFs or complex docs during technical investigations, supporting the discovery phase of your research workflow.

To structure a research workspace, create a new topic directory under /research/<topic>/ and store sources.md for raw data, logs.txt for tracking, and draft.md for initial synthesis to support your data organization tasks.

To convert research findings into a professional blog post, complete your analysis and synthesis in the /research directory, then hand over to the draft skill to generate the final publication in the /docs/ directory.

No, this research workflow has no external dependencies or specific components, allowing you to start information gathering and literature reviews immediately by creating a new topic under /research.