Octopus Architecture FAQs

Question 1

What is multi-AI consensus in Octopus Architecture?

Accepted Answer

Multi-AI consensus involves coordinating multiple AI models—Claude, Gemini, and Codex—to cross-reference architectural patterns and provide a more robust, validated design recommendation than a single model could offer.

Question 2

Is there a cost associated with running this skill?

Accepted Answer

Because it invokes multiple AI models, there is a small token cost (typically estimated between $0.02 and $0.08 per run) to facilitate the consensus and orchestration process.

Question 3

Does this skill require specific CLI tools?

Accepted Answer

Yes, it requires the Codex CLI and functions as a plugin within the Claude Code environment, utilizing a native shell orchestrator to manage different AI personas.

Question 4

How does LSP integration improve architecture design?

Accepted Answer

LSP integration allows the skill to gather structural context from your existing codebase, such as identifying current dependencies and symbol patterns, ensuring new designs remain consistent with your current project.

Question 5

Can I use this for database schema design?

Accepted Answer

Absolutely. The backend-architect persona is specifically trained to handle database schema design, caching strategies, and data modeling for distributed systems.

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