ai-agent-architecture

To design a robust AI agent architecture, use the /design mode to generate an Architecture Decision Document. This guides your team through 10 key architectural decisions and anti-disaster patterns with reference-based evidence for production safety.

The best way to audit a multi-agent architecture is using the /audit mode to generate an Architecture Audit Report. This flags security concerns, missing dependencies, and non-conforming components to ensure safe deployment in agent ecosystems.

The critical architectural decisions for reliable multi-agent systems involve a 10-decision framework covering memory, security, and observability. It maps design patterns to production-disaster scenarios to prevent failures.

Yes, the skill generates governance-grade outputs like the Architecture Decision Document and Audit Report. These outputs are designed for human review and direct integration into your engineering pipelines.

The architecture audit report handles non-conforming components by evaluating them against the 10-decision framework. It flags missing dependencies and security concerns to support safe deployment in agent ecosystems.

No specific dependencies are required to generate an architecture decision document. The skill operates autonomously to encode the 10 architectural decisions and reference patterns from your input into a structured metadata profile.