Agent Architect

Hierarchical multi-agent team structures can be automatically generated by analyzing your project context and domain to produce agent definitions, department leads, and quality gates. The Skill uses domain inference to propose specialized departments like frontend, backend, AI/ML, and QA based on detected technology stacks.

Yes, you can create agent organizations from existing codebase files using the fully automatic inference mode. This mode analyzes your project structure and technology stack to dynamically design the agent hierarchy, minimizing user input while maintaining accurate domain-driven department generation.

Generated multi-agent infrastructure includes agent definition files, project guidelines (CLAUDE.md), domain rules, and knowledge accumulation systems. It also produces quality gates such as fact-checkers, insight-curators, and coherence-reviewers to ensure comprehensive hierarchical agent organization.

Multi-agent team generation supports interactive dialogue, fully automatic inference, and hybrid modes. If you want control over the design, the interactive mode allows you to actively participate in defining roles, permissions, and communication hierarchies tailored to your domain analysis preferences.

The best way to organize specialized agents is through domain-driven department generation, which automatically proposes relevant departments based on detected technology stacks. This approach structures your project with department leads, specialized workers, evaluators, and insight management systems tailored to the domain.

You should not use automatic agent team design if your software project lacks sufficient structure or codebase files for domain inference, or if you require a flat organizational structure. The tool is optimized for complex projects needing defined hierarchical agent teams, quality gates, and knowledge accumulation.