document-review

Automated document review uses parallel specialized agents to classify documents, dispatch role-specific personas, and synthesize findings into a structured output. It handles concurrent analysis to identify quality and completeness issues from multiple perspectives simultaneously.

Parallel agent-based analysis works by dispatching multiple specialized personas concurrently to review structured document content. Each agent identifies role-specific issues, and the system synthesizes findings while applying schema validation to ensure a structured quality output.

Yes, document review is suitable for project management and software development workflows. It evaluates requirements and plan documents, automatically applying fixes for certain issues while providing recommendations for nuanced problems.

The best way to handle conflicting issues during document analysis is using interactive feedback mode. This allows you to provide direct input on nuanced issues, while the system automatically applies fixes for straightforward problems.

Yes, technical document review requires structured document content as input and applies schema validation for the output. This ensures the specialized agents can accurately classify the document and synthesize findings.

Run automated document review in a headless workflow by executing the skill with the headless mode parameter and your document path. This processes the document without interactive prompts, synthesizing findings for your software development pipeline.