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lets-agent-native-architecture

Design agent-native applications using event-driven architecture and model tier selection.

3|Updated May 28, 2026
Search Tags:#autonomous agents#agent execution#event-driven architecture#model tier selection#agent-native architecture
One-click install
npx skills add https://github.com/williamzelesny/lets-engineer --skill lets-agent-native-architecture
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: lets-agent-native-architecture
Source: https://github.com/williamzelesny/lets-engineer/tree/main/plugins/lets-engineer/skills/lets-agent-native-architecture
Command: npx skills add https://github.com/williamzelesny/lets-engineer --skill lets-agent-native-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you design and build applications where autonomous agents are first-class citizens, allowing for emergent capabilities and efficient workflows.

Core Features & Use Cases

  • Agent-Native Architecture: A framework for building applications with agents that are treated as first-class citizens.
  • Five Core Principles: Parity, Granularity, Composability, Emergent Capability, and Improvement Over Time.
  • Use Cases: Designing autonomous agents, creating MCP tools, implementing self-modifying systems, and building apps where features are outcomes achieved by agents operating in a loop.

Quick Start

Use the lets-agent-native-architecture skill to design an agent-native application.

Frequently Asked Questions about lets-agent-native-architecture

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
What is agent-native architecture and how does it treat autonomous agents as first-class citizens?▼

Agent-native architecture is an application design approach where autonomous agents operate as first-class citizens, enabling emergent capabilities through event-driven workflows and five core principles: Parity, Granularity, Composability, Emergent Capability, and Improvement Over Time.

How do I design applications where features are outcomes achieved by autonomous agents?▼

Design applications by implementing autonomous agents operating in continuous loops. Features become outcomes achieved through agent execution patterns, event-driven architecture, and dynamic model tier selection based on context limits.

Do I need to understand completion signals and context limits to build agent-native applications?▼

Yes, building agent-native applications requires prerequisite knowledge of agent execution, completion signals, partial completion handling, and context limits to properly manage event-driven architecture and model tier selection.

What is the best way to implement self-modifying systems using autonomous agents?▼

Implement self-modifying systems by applying the Improvement Over Time principle within agent-native architecture, allowing autonomous agents to create MCP tools, execute in event-driven loops, and adapt their capabilities emergently.

When should I use event-driven architecture for autonomous agent execution?▼

Use event-driven architecture for autonomous agent execution when designing applications requiring emergent capabilities, composability, and features that are outcomes achieved by agents operating in continuous loops with dynamic model tier selection.

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