research_codebase

To analyze a large monorepo, this Skill coordinates parallel sub-agents that read and synthesize findings across the codebase, identifying architectural hotspots and dependencies to produce a coherent research report.

Automating codebase research for multi-module projects is best handled by spawning parallel sub-agents to analyze files and synthesize findings, leveraging Gemini CLI tools to compile results into a final research document.

Yes, you can use parallel agents to identify code hotspots and architectural insights by delegating analysis tasks across the codebase, fetching relevant files, and synthesizing the data into a comprehensive report.

You coordinate research across a large codebase using Gemini CLI by applying parallel task orchestration, file discovery, and analysis patterns to synthesize findings from multiple sub-agents into a final document.

Yes, this codebase analysis approach works for large scale projects, monorepos, and multi-module projects by distributing the research workload across parallel sub-agents to handle extensive file discovery and synthesis.