What architectural patterns does it support?

It primarily supports event-driven command patterns via Bloodbank, API-first design with FastAPI, and corporate hierarchy metaphors for agent management.

What is the 33GOD System Expert?

It is a specialized skill for Claude Code designed to help developers build, maintain, and extend the 33GOD agentic pipeline system through deep architectural analysis.

How does it distinguish between Yi and Flume?

It treats Yi as the low-level agent orchestration layer (sessions and lifecycles) and Flume as the corporate-themed wrapper providing hierarchical tree structures.

Can this skill scan my local repository?

Yes, it is designed to scan specific paths like /home/delorenj/code/33GOD/ to provide implementation suggestions based on your actual code state.

33GOD System Architecture Expert

Name: 33GOD System Architecture Expert
Author: delorenj

bydelorenj

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Developer Tools

Provides deep architectural insights and reality-based implementation strategies for the 33GOD agentic pipeline system.

About

The 33GOD System Expert is a specialized skill designed for developers working with the 33GOD agentic pipeline ecosystem. It offers comprehensive knowledge of core components including Yi (low-level orchestration), Flume (hierarchical structure), and Bloodbank (event-driven architecture). By scanning actual codebase states and referencing canonical documentation, this skill ensures that feature suggestions are grounded in reality, helping developers extend existing components rather than building from scratch while maintaining the system's unique corporate hierarchy metaphor.

Key Features

Automated identification of existing extension points vs. new component needs
Reality-based implementation suggestions derived from actual codebase scanning
Deep guidance on Bloodbank's event-based command pattern architecture
5 GitHub stars
Expert mapping of Yi orchestrator capabilities and Flume node relationships
Support for corporate hierarchy metaphors in agentic workflow design

Use Cases

Adding support for new AI agents to the Yi low-level orchestrator
Refining asynchronous communication schemas using Bloodbank events and commands
Designing and implementing new worker nodes within the Flume hierarchical tree

About

Key Features

Automated identification of existing extension points vs. new component needs
Reality-based implementation suggestions derived from actual codebase scanning
Deep guidance on Bloodbank's event-based command pattern architecture
5 GitHub stars
Expert mapping of Yi orchestrator capabilities and Flume node relationships
Support for corporate hierarchy metaphors in agentic workflow design

Use Cases

Adding support for new AI agents to the Yi low-level orchestrator
Refining asynchronous communication schemas using Bloodbank events and commands
Designing and implementing new worker nodes within the Flume hierarchical tree