plugin-architecture

To plan AI-Assistant architecture, you identify and formalize the design workflow for directory layout, skill dependencies, and feature workflows. This enforces structure and workflow governance through documented conventions and templates.

Mapping skill dependencies involves documenting skill and agent interactions to avoid bottlenecks and define module boundaries. It applies structure and dependency mapping conventions to manage scalable workflows.

Defining directory structure applies layout planning conventions to establish project skeleton and module boundaries. It results in a documented initial skill and agent layout for the architecture.

Yes, you can craft end-to-end processes for the development lifecycle. It outlines new feature workflows by applying documented templates and checklists to govern the design process.

You need formal workflow governance when planning scalable AI-Assistant architecture to enforce structure, dependency mapping, and documented conventions. It prevents workflow bottlenecks across typical scenarios.

Yes, architecture planning works without external dependencies. It provides internal documented conventions, templates, and checklists to enforce structure and dependency mapping directly within the project.