What is the core philosophy of Outfitter Atlas?

It treats errors as data rather than exceptions and emphasizes 'agent-first' design, ensuring tools provide structured, predictable output that AI agents can reason about.

Why does Outfitter Atlas favor Bun-native APIs?

Utilizing Bun-native APIs like Bun.sqlite and Bun.hash ensures high performance and a zero-dependency footprint, which is ideal for fast-booting tools and microservices.

How does the error taxonomy improve my code?

It maps every failure to one of ten specific categories, automatically providing the correct CLI exit code or HTTP status, allowing both humans and agents to make informed retry decisions.

Can I use this for projects beyond CLI tools?

Absolutely. The Handler contract is transport-agnostic, meaning the same core logic can be exposed via CLI, MCP servers, or standard web APIs without modification.

Outfitter Atlas

Name: Outfitter Atlas
Author: outfitter-dev

byoutfitter-dev

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API 开发

Generates architectural patterns and type-safe handlers for building agent-ready Bun applications using the Outfitter infrastructure.

Outfitter Atlas serves as a comprehensive guide and pattern generator for the @outfitter ecosystem, enabling developers to build robust, transport-agnostic infrastructure. It enforces a functional 'Result-first' error handling strategy and a unified handler contract that allows the same logic to serve CLI, MCP, and API surfaces simultaneously. By prioritizing structured output and a strictly mapped error taxonomy, it ensures that your tools are optimized for both human developers and AI agents, fostering predictable behavior across all deployment environments.

主要功能

01Functional Result-type patterns for exception-free, type-safe error handling

02Bun-native API integration for high-performance hashing, SQLite, and shell operations

03Comprehensive Error Taxonomy with 10 categories mapped to exit codes and HTTP status

042 GitHub stars

05Transport-agnostic Handler contract for seamless CLI, MCP, and API parity

06Single source of truth patterns for deriving types and schemas from Zod definitions

使用场景

01Standardizing shared infrastructure across multiple Bun-based TypeScript projects

02Developing high-performance CLI tools that require consistent exit codes and JSON output

03Building AI-ready Model Context Protocol (MCP) servers with structured error reporting

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add outfitter-dev/outfitter outfitter-atlas

For use in Claude.ai and ChatGPT

Download Skill