Does it support testing for the components it generates?

Absolutely. It provides specific templates for 'Handler Tests' that allow you to verify business logic directly without needing a complex transport layer.

Can I use this for Model Context Protocol (MCP) development?

Yes, it includes specialized templates for defining MCP tools with automatic schema inference and type-safe handlers for AI agents.

What is the primary benefit of using Outfitter Stack Templates?

It enforces a consistent, type-safe architecture across handlers, CLIs, and tools, reducing boilerplate and ensuring architectural best practices are followed automatically.

Which frameworks and libraries does this skill work with?

It is optimized for TypeScript environments using Bun, Zod for schema validation, and Commander.js for building command-line interfaces.

Outfitter Stack Templates

Name: Outfitter Stack Templates
Author: outfitter-dev

byoutfitter-dev

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API 开发

Scaffolds standardized TypeScript components including handlers, CLI commands, MCP tools, and daemon services using Outfitter Stack conventions.

关于

The Outfitter Stack Templates skill streamlines the creation of robust, production-ready TypeScript applications by providing standardized scaffolding for core architecture components. It automates the generation of transport-agnostic business logic handlers, Zod-validated inputs, Commander.js CLI commands, and Model Context Protocol (MCP) tools, ensuring consistency and type safety across your entire codebase. Whether building a background daemon service or a new AI-ready tool, this skill enforces best practices like 'handler-first' development and explicit error handling to reduce boilerplate and improve maintainability.

主要功能

Transport-agnostic business logic handlers with Result pattern
Commander.js CLI command scaffolding with validation
Type-safe MCP tool definitions for AI agent integration
18 GitHub stars
Background daemon services with health checks and IPC
Automated unit test generation for business logic

使用场景

Rapidly scaffolding a new microservice component with Zod validation
Adding AI-accessible tools to an existing MCP server infrastructure
Implementing background services with built-in health monitoring and IPC

关于

主要功能

Transport-agnostic business logic handlers with Result pattern
Commander.js CLI command scaffolding with validation
Type-safe MCP tool definitions for AI agent integration
18 GitHub stars
Background daemon services with health checks and IPC
Automated unit test generation for business logic

使用场景

Rapidly scaffolding a new microservice component with Zod validation
Adding AI-accessible tools to an existing MCP server infrastructure
Implementing background services with built-in health monitoring and IPC