better-chatbot

Enforce project conventions for better-chatbot contributions with MCP, workflow, and default tool patterns.

204|30|Updated Nov 8, 2025

Search Tags:#workflow #validation #MCP #patterns #chatbot

Ready to run

npx skills add https://github.com/secondsky/claude-skills --skill better-chatbot-secondsky

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: better-chatbot
Source: https://github.com/secondsky/claude-skills/tree/main/plugins/better-chatbot/skills/better-chatbot
Command: npx skills add https://github.com/secondsky/claude-skills --skill better-chatbot-secondsky

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Better-chatbot codifies project conventions, three-tier tool systems, and robust server action validators to avoid common pitfalls and achieve reliable AI-powered workflows.

Core Features & Use Cases

Three-tier tool system: MCP tools, workflow tools, and default tools.
Server action validators: Centralized guards to ensure safe operations.
UX & patterns: Component patterns, extension points, and governance for chatbot projects.

Quick Start

Install and customize best-practice templates for tool orchestration and workflow design.

Frequently Asked Questions about better-chatbot

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I enforce project conventions for chatbot tool systems?▼

Better-chatbot codifies three-tier tool system patterns—MCP tools, workflow tools, and default tools—with centralized server action validators and Zod-based input validation to ensure safe, consistent tool orchestration across contributions and CI checks.

What's the best way to structure a streaming-first chatbot architecture?▼

Use the three-tier tool pattern with safe() wrapper usage, defensive programming practices, and template-driven extension points for agents and workflows. This supports streaming-first design while maintaining RESTful API practices and robust validation.

Can I use Drizzle ORM with MCP workflow patterns?▼

Yes. Better-chatbot integrates Drizzle ORM repository patterns into the three-tier tool system, enabling safe database operations within MCP tools and server action validators for production-grade AI workflows.

How do I validate server actions in an AI-powered chatbot?▼

Implement centralized server action validators using Zod-based input validation and safe() wrappers. Better-chatbot provides extensible templates that enforce these guards across MCP tools, workflows, and default tools to prevent unsafe operations.

What patterns should I follow for extensible chatbot tool design?▼

Better-chatbot offers template-driven extension points for agents, workflows, and tools. These enforce MCP/Workflow/Default tool patterns, RESTful practices, and defensive programming conventions to guide open-source contributions and code reviews.

Why use a three-tier tool system for chatbot workflows?▼

A three-tier system—separating MCP tools, workflow tools, and default tools—isolates concerns, improves governance, and enables safe integration with server action validators and streaming architectures while maintaining consistent project conventions.