Can I apply these principles to existing applications?

Yes, the skill includes strategies for refactoring existing code to be more 'prompt-native' and providing agents with the necessary primitives to interact with legacy systems.

How does this skill help with MCP tool design?

It provides principles for creating granular, atomic tools that agents can compose flexibly, ensuring the agent has the same capabilities as a human user in a UI.

What is an agent-native application?

An agent-native application is designed with AI agents as first-class users, where features are outcomes achieved by agents using atomic tools rather than fixed, hardcoded logic.

Why are atomic primitives preferred over complex tools?

Atomic tools empower agents to make their own decisions and solve unexpected problems, whereas complex, 'bundled' tools move the judgment logic back into static code.

What is the principle of parity in this context?

Parity means ensuring that any action a user can perform through the application's interface can also be achieved by an agent using its available tools.

Agent-Native Architecture

Name: Agent-Native Architecture
Author: jayteealao

byjayteealao

開発者ツール

Design and build applications where AI agents are first-class citizens using atomic primitives and autonomous loops.

概要

This skill provides a comprehensive framework for architecting software designed for AI agents. It shifts the development paradigm from writing rigid, hardcoded features to defining outcomes achieved by agents through atomic tool composition. By following principles like parity between UI and agent capabilities, developers can build self-modifying, highly flexible systems that exhibit emergent behaviors and improve through prompt refinement and accumulated context rather than just manual code deployments.

主な機能

Framework for achieving action parity between human UIs and agent tools
Best practices for designing composable Model Context Protocol (MCP) tools
0 GitHub stars
Patterns for self-modifying systems and dynamic context injection
Guidance on building atomic primitives to enable emergent agent capabilities
Strategies for implementing autonomous execution loops and completion signals

ユースケース

Designing extensible MCP toolsets that allow agents to replicate complex UI interactions
Architecting autonomous systems that manage files, workflows, or data without human intervention
Refactoring legacy codebases into prompt-native applications that evolve through context

概要

主な機能

Framework for achieving action parity between human UIs and agent tools
Best practices for designing composable Model Context Protocol (MCP) tools
0 GitHub stars
Patterns for self-modifying systems and dynamic context injection
Guidance on building atomic primitives to enable emergent agent capabilities
Strategies for implementing autonomous execution loops and completion signals

ユースケース

Designing extensible MCP toolsets that allow agents to replicate complex UI interactions
Architecting autonomous systems that manage files, workflows, or data without human intervention
Refactoring legacy codebases into prompt-native applications that evolve through context