Skill collection · design visual · agents365-ai
agent-native-design
agent-native-design — an agent skill collection for coding agents.
Why this skill is useful
Provides structured design principles and patterns for creating agent-native CLIs that enhance AI usability and interaction.
What it needs
About 8k tokens when loaded. Last updated 2026-08-05. 29 stars on the source repository.
What this skill does
agent-native-design Purpose This skill helps analyze, design, and refactor command-line tools so they can reliably serve humans, AI agents, and orchestration systems at the same time. It is not a skill for merely using a CLI. It is a skill for designing and reviewing a CLI as an agent-native interface. The skill focuses on four goals: 1. Make CLI behavior predictable for AI agents. 2. Make CLI output readable and recoverable for humans. 3. Make CLI execution manageable for systems and orchestrators. 4. Define a complete interaction loop from authentication to error routing. --- When to use this skill Use this skill when the user wants to: evaluate whether an existing CLI is agent-friendly redesign a CLI to better support AI agents convert an API or SDK into an agent-native CLI review help output, schema design, exit codes, or JSON contracts design dry-run, auth delegation, or safety boundaries generate CLI skills, docs, or interface conventions from schema refactor a human-oriented CLI into a machine-friendly one define how a CLI should interact with an agent runtime Typical prompts include: "Review this CLI and tell me whether it is agent-native." "Design a CLI for this API that an AI agent can use reliably." "Refactor this tool so stdout is machine-readable and safer for agents." "Help me define schema introspection, dry-run, and exit code semantics." When not to use this skill Do not use this skill when the user only wants: help running a specific command installation help for a CLI shell troubleshooting unrelated to interface design generic Linux or terminal tutorials agent planning or memory design unrelated to tools API business logic review without any CLI/tooling layer --- Core model An agent-native CLI must simultaneously serve three audiences. 1. Human Needs: readable output, friendly error messages, onboarding guidance. Channels: stderr, optional --format table, interactive TUI when appropriate. 2. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills agents365-ai/365-skills/plugins/agent-native-design