better-chatbot

Architectural patterns ensure consistent contributions by codifying project conventions for API routes, tool systems, and repository structures. This Skill enforces a three-tier tool system, streaming-first design, and validated server actions to maintain governance and tooling standards across the better-chatbot project.

The three-tier tool system organizes chatbot tools into MCP, Workflow, and Default layers, each with specific responsibilities. This structure provides defensive programming, progressive enhancement, and clear separation of concerns for consistent tool behavior and repository-pattern guidance.

E2E testing for chatbots uses Playwright-based orchestration to validate tools, routes, and workflows end-to-end. This Skill provides structured templates that integrate with the three-tier tool system and streaming design to ensure regression patterns and functional requirements are met.

Practical templates cover tools, routes, repositories, and streaming patterns aligned with API architecture and the three-tier tool system. These enforce interface-first repositories, validated server actions, and structured data access patterns required for consistent governance.

Yes. Repository-pattern guidance covers data access structures, interface-first design, and validation strategies. The Skill includes templates and conventions for both repository architecture and streaming-first patterns to satisfy technical requirements for consistent database interactions.

The Skill codifies conventions for MCP, Workflow, and Default tiers alongside streaming design and progressive enhancement. It provides templates and references for these concepts, making it suitable for contributors following the better-chatbot project's established patterns and governance standards.