research-problem

Codebase research coordination works by decomposing your query into specialized tasks, executing batch-based sub-agents in parallel, and synthesizing their findings into a structured report with evidence paths.

Automated document generation produces a reproducible research report by validating sub-agent findings and linking conclusions back to their original sources within the codebase.

Research task decomposition breaks down complex questions into specialized sub-tasks, allowing parallel agents to investigate different codebase areas simultaneously before synthesizing the results.

Yes, validation loops are integrated directly into the batch-based agent execution workflow to verify sub-agent findings before they are synthesized into the final research document.

No external dependencies are required to run parallel codebase research; the skill operates standalone to decompose queries, spawn agents, and generate automated research reports.

Use parallel agent orchestration when you need comprehensive research across large codebases, requiring structured planning, batch execution, and synthesized reports with clearly defined open questions.