Agent Native Design
A guidance framework for designing CLI interfaces friendly to AI agents
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: Agent Native Design. It is used for: A guidance framework for designing CLI interfaces friendly to AI agents Full Skill content: https://321skill.com/skills/agent-native-design/raw/index.md Read that page and install it.
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This Skill addresses the pain point of designing command-line tools that simultaneously meet the needs of humans, AI agents, and automated systems. In practical development, developers often need to convert APIs or SDKs into AI-consumable CLIs, or refactor existing CLIs to support reliable agent invocation, but lack a systematic approach that balances readability, structured output, and automation management.
Usage is straightforward: simply invoke this skill when you need to design, review, or refactor a CLI. It guides you through analyzing existing interfaces and provides a core model to delineate responsibilities for standard output, error output, and exit codes, ensuring CLI behavior is predictable for AI, readable for humans, and manageable for systems. You can then use natural language instructions to generate skill documentation, define JSON contracts, or review interface designs.
It is well-suited for engineering teams or individuals developing or maintaining command-line tools for AI agents. This is especially relevant for those building AI-native applications, exposing internal tools to agents, or aiming to improve CLI reliability in automated workflows. Product managers and architects can also benefit when defining toolchain standards.
It is recommended to use this tool consistently when designing new CLIs or reviewing the agent compatibility of existing ones. Note that it primarily provides design principles and a review framework, not a direct code generator, so users need some CLI development experience to apply its guidance.
Key Features
Unlike traditional CLI design guides (e.g., Google's Python Fire), it explicitly treats AI agents as first-class users and defines a tripartite contract: `stdout` for machines, `stderr` for humans, and `exit codes` for systems. Traditional guides primarily focus on the interactive experience for human users.
Limitations
The core guidance document (SKILL.md) of this skill is platform-agnostic, but its accompanying sidecar metadata is currently tailored for specific runtimes like OpenClaw, Hermes, pi-mono, and OpenAI Codex. Adaptation may be required for use on other agent platforms.
FAQ
Can this skill directly generate CLI code?
No. It is a design framework and review guide that helps you define interface contracts, output formats, and error handling strategies. The actual code implementation must be completed by the developer.
How can existing CLI tools apply this skill?
You can use this skill to review existing CLIs, identify areas that do not conform to AI-friendly principles (e.g., unstructured output, unstable exit codes), and create a refactoring plan, such as adding a `--json` output option or improving help information.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-native-design/raw/index.md to read the original Skill definition (Markdown format) for Agent Native Design, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-native-design/raw/index.md