ce-agent-native-architecture

Orchestrate loop-based prompts with atomic tools for agent-native architectures.

Updated Jan 10, 2026
One-click install
npx skills add https://github.com/KingInYellows/yellow-plugins --skill ce-agent-native-architecture-kinginyellows
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ce-agent-native-architecture
Source: https://github.com/KingInYellows/yellow-plugins/tree/main/RESEARCH/upstream-snapshots/e5b397c9d1883354f03e338dd00f98be3da39f9f/plugins/compound-engineering/skills/ce-agent-native-architecture
Command: npx skills add https://github.com/KingInYellows/yellow-plugins --skill ce-agent-native-architecture-kinginyellows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enable building agent-native architectures by making agents first-class citizens and orchestrating loop-based prompts with atomic tools.

Core Features & Use Cases

  • Parity-driven tool design: map UI actions to agent tools
  • Atomic primitives with dynamic capability discovery and context injection
  • Safe self-modification with guardrails and emergent capability patterns

Quick Start

Define atomic tools, write a system prompt describing how to use them, and start the agent loop to complete the task.

Frequently Asked Questions about ce-agent-native-architecture

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

FAQPage Schema
What is an agent-native architecture and how does it make agents first-class citizens?▼

Agent-native architecture makes agents first-class citizens by orchestrating loop-based prompts with atomic tools, enabling emergent capability through parity-driven design and dynamic context injection.

How do I design atomic tools for an agent loop?▼

Design atomic tools by mapping UI actions to agent tools using parity-driven principles, ensuring granularity and composability for dynamic capability discovery within the agent loop.

Can I implement safe self-modification in an agent-native architecture?▼

Yes, safe self-modification is implemented using guardrails and emergent capability patterns, allowing agents to improve over time while maintaining operational safety boundaries.

What's the best way to start building an agent-native architecture?▼

Start building agent-native architecture by defining atomic tools, writing a system prompt describing their usage, and initiating the agent loop to complete tasks with dynamic context injection.

How does dynamic capability discovery work with context injection?▼

Dynamic capability discovery uses context injection to provide atomic primitives with relevant runtime information, enabling agents to autonomously identify and orchestrate available tools.

When should I use parity-driven tool design in agent-native architectures?▼

Use parity-driven tool design when mapping UI actions to agent tools to ensure functional equivalence, enabling seamless composability and emergent capability within the agent loop.