What problem does it solve?
This Skill provides foundational guidance for building goal-driven AI agents by detailing architecture, node types, tool discovery, and the overall workflow.
Core Features & Use Cases
- Architectural Overview: Understand how Python packages are organized to host agent code, including exports, CLI, and modules.
- Node & Edge Concepts: Learn about event_loop vs function nodes, and how edges drive graph execution with conditions and priorities.
- Workflow Guidance: Learn best practices for client-facing nodes, node design, and graph validation to accelerate development.
- Use Case: A new project team uses hive-concepts to bootstrap agent development and align on core principles before writing code.
Quick Start
Review this skill to grasp the hive architecture and then begin scaffolding a new agent with hive-create or by following the pattern in this guide.