ct-research-agent

Multi-source research synthesis gathers insights from web searches, official documentation via Context7, and codebase analysis to compile findings into a concise, citation-backed report with actionable recommendations.

Generating a citation-backed report involves triggering a multi-source research task that evaluates best practices, synthesizes findings from documentation and codebases, and outputs a structured findings brief with traceable sources.

Documenting research insights with citations compiles findings from web searches and codebase analysis into an actionable brief, producing a manifest entry for traceability and an auditable task trace.

Context7 documentation lookups can be performed simultaneously with codebase analysis and web searches to surface comprehensive insights and produce a structured findings brief for investigations.

A multi-source research task accepts a topic, scope, and specific questions as inputs, processing them through web search, Context7, and codebase analysis to output a structured findings brief.

An automated research agent should be used for information discovery when you need to reduce manual effort by gathering, organizing, and synthesizing findings from multiple distinct sources into one concise report.