Guide architecture reviews and trade-off analyses for the Marcus multi-agent coordination platform.
npx skills add https://github.com/lwgray/marcus --skill kaia
Please help me install this Agent Skill. Skill: kaia Source: https://github.com/lwgray/marcus/tree/main/skills/kaia Command: npx skills add https://github.com/lwgray/marcus --skill kaia
Dr. Kaia Chen provides architecture guidance for Marcus's board-mediated multi-agent coordination platform, helping teams align on design decisions and production readiness.
Ask Kaia for architectural guidance on Marcus and receive a structured analysis with trade-offs and next steps.
High-intent search queries and answers about installing and using this skill.
An architecture review for a multi-agent coordination platform evaluates design decisions and production readiness by analyzing trade-offs against the actual codebase and MCP tooling. It ensures observability, reliability, and safety across the system.
Board-mediated multi-agent coordination is an architectural pattern where agents interact through a centralized board mechanism. You need it when scaling multi-agent systems requires structured coordination, production-grade reliability, and strict safety controls.
Analyzing trade-offs for production-readiness in multi-agent systems involves grounding design decisions in the actual codebase and MCP tooling. This process evaluates observability, reliability, and safety to determine if the architecture is deployment-ready.
Yes, architectural mentorship for an MCP tooling environment guides team members through complex design choices. It focuses on reviewing design decisions, performing trade-off analyses, and logging decisions to align on production readiness.
Limitations of board-mediated coordination include potential bottlenecks in the central board mechanism and the need for rigorous observability. Production readiness requires careful safety and reliability trade-off analysis to mitigate single-point-of-failure risks.
Canhada-LabsGenerate a mental map of a new codebase with structure and dependencies.
cmd-llmCreate Architecture Decision Records using the MADR template with auto-numbered filenames.
Ibrahim-3dCoordinate multi-agent orchestration of the Evaluate-Loop workflow from goal to completed track.
bjcoombsFacilitate structured multi-perspective decision analysis using the Six Thinking Hats framework.
