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ce-agent-native-architecture

Design agent-native architectures with parity, granularity, and composability.

2|Updated Apr 30, 2026
Search Tags:#context#orchestration#tools#prompting#parity#agent-native
One-click install
npx skills add https://github.com/thisisryanswift/zellij-agent-tools --skill ce-agent-native-architecture
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ce-agent-native-architecture
Source: https://github.com/thisisryanswift/zellij-agent-tools/tree/main/.opencode/skills/ce-agent-native-architecture
Command: npx skills add https://github.com/thisisryanswift/zellij-agent-tools --skill ce-agent-native-architecture

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Build robust agent-native systems by treating prompts as the engine and tools as primitives, enabling parity, granularity, and composability across a unified orchestration loop.

Core Features & Use Cases

  • Parity: every UI action has a corresponding agent tool and vocabulary mapping.
  • Granularity & Composability: use atomic tools to compose new behaviors without code changes.
  • Emergent Capability & Improvement: learn from interactions and refine prompts over time.

Quick Start

Define atomic tools (read_file, write_file, list_files, bash) and craft a system prompt that codifies parity, context injection, and the agent-native loop.

Frequently Asked Questions about ce-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 handle context orchestration?▼

Agent-native architecture treats prompts as the engine and tools as primitives, handling context orchestration through dynamic context injection within a unified loop to achieve parity and composability.

How do I build composability into an agent-native system using atomic tools?▼

To build composability, define atomic tools like read_file or bash, then craft a system prompt that uses these primitives to compose new behaviors dynamically without requiring code changes.

What does parity mean when designing agent-native prompts and tools?▼

Parity in agent-native design means every UI action has a corresponding agent tool and vocabulary mapping, ensuring the agent can perform the same actions a user would through the interface.

How does an agent-native architecture improve emergent capability over time?▼

Agent-native architectures improve emergent capability by learning from interactions and refining the system prompt over time, allowing the system to adapt and enhance its performance across contexts.

Do I need to write new code to add domain tools in an agent-native orchestration loop?▼

No, you do not need to write new code to add domain tools. The architecture progresses from primitives to domain tools by composing atomic tools via the system prompt and dynamic context injection.

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