Deep Research Report

Research existing tools, libraries, and patterns before writing custom code by invoking a researcher agent.

Runs evidence-first research workflows by combining search, synthesis, and recommendation skills for current facts, comparisons, or enrichment.

Conduct multi-source deep research using firecrawl and exa MCPs, synthesize findings, and deliver cited reports with source attribution.

Fans out web searches, fetches sources, adversarially verifies claims, and synthesizes a cited research report.

Produces a deep research report on a product, company, concept, or person using the Horizontal-Vertical Analysis method, combining a longitudinal narrative with a cross-sectional competitive comparison, and outputs a beautifully formatted PDF.

Orchestrates evidence-based research across local PDFs, scholarly search, citation-context tools, web sources, and code repositories to produce traceable syntheses with counterevidence audits.

Extract and analyze Douyin video data into evidence-graded learning notes, summaries, and research briefs using subtitles, ASR, comments, and AI-assisted reading.

Routes a research topic through a structured two-phase workflow: generate an extensible outline, then fan out parallel web-search agents to investigate each item into validated JSON, producing a complete markdown report with table of contents.

Coordinates multiple research agents to gather information on a topic across GitHub, HuggingFace, papers, competitors, and best practices, then compiles findings into a structured report.

Runs a full research-to-ideation pipeline: competitive gap analysis, technology trend research, user feedback analysis, and feature ideation, producing structured reports.

Produces academic papers, literature reviews, grant proposals, and clinical reports with LaTeX formatting and verified citations, using research-lookup and parallel-web skills.