agent-native-architecture

Define and deploy agent-native systems with atomic primitives and prompt-driven behavior.

6|Updated Jan 29, 2023
One-click install
npx skills add https://github.com/rethinkhealth/glion --skill agent-native-architecture-rethinkhealth
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-native-architecture
Source: https://github.com/rethinkhealth/glion/tree/main/.agents/skills/agent-native-architecture
Command: npx skills add https://github.com/rethinkhealth/glion --skill agent-native-architecture-rethinkhealth

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill provides a structured approach to building agent-native applications by detailing how to design atomic tools, prompt-driven behavior, and a shared workspace enabling cross-device collaboration.

Core Features & Use Cases

  • Parity: ensure every UI action has a corresponding agent tool, documented in prompts for discoverability.
  • Granularity & Composability: promote atomic primitives and prompt-based feature outcomes that can be composed for new capabilities.
  • Shared Workspace: enables transparent collaboration by operating in the same data space and reflecting agent actions in the UI.

Quick Start

Describe a simple prompt for starting an agent-native workflow with atomic tools.

Frequently Asked Questions about agent-native-architecture

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

FAQPage Schema
What is agent-native architecture and why do I need atomic tools?

Agent-native architecture structures applications using atomic primitives and dynamic context. You need it to ensure UI actions have corresponding agent tools, enabling emergent capabilities through prompt-driven behavior and composability.

How do I ensure parity between user interface actions and agent tools?

Ensure parity by mapping every UI action to a corresponding agent tool and documenting it in prompts. This allows the shared workspace to reflect agent actions in the UI, maintaining transparent cross-device collaboration.

How do I design prompt-driven behavior for cross-device collaboration?

Design prompt-driven behavior by utilizing a shared workspace where agents and devices operate in the same data space. This reflects agent actions in the UI and enables transparent cross-device collaboration.

Can I compose new capabilities from atomic primitives in an agent-native system?

Yes, you can compose new capabilities by combining atomic primitives and prompt-based feature outcomes. Granularity and composability allow emergent capabilities to form from these foundational, auditable tools.

Does this agent-native approach support safe and auditable workflows?

Yes, agent-native architecture enforces safe and auditable workflows using explicit completion signals and CRUD-like tooling principles. This ensures agent actions within the shared workspace are tracked and verified over time.