skills.rest
wangrenzhu-ola
wangrenzhu-olaCOMMUNITY
Explore all skills by this author →
GitHub

agent-native-architecture

Build agent-native architectures with atomic tools and dynamic prompts.

2|1|Updated Apr 17, 2026
Search Tags:#workflow#architecture#prompts#tools#parity#agent-native
One-click install
npx skills add https://github.com/wangrenzhu-ola/GaleHarnessCodingCLI --skill agent-native-architecture-wangrenzhu-ola
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-native-architecture
Source: https://github.com/wangrenzhu-ola/GaleHarnessCodingCLI/tree/main/plugins/galeharness-cli/skills/agent-native-architecture
Command: npx skills add https://github.com/wangrenzhu-ola/GaleHarnessCodingCLI --skill agent-native-architecture-wangrenzhu-ola

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill enables building agent-native architectures where long-running agent loops operate on atomic primitives and prompts to achieve outcomes rather than hard-coded steps.

Core Features & Use Cases

  • Parity: Ensure UI actions have equivalent agent tools so users and agents can accomplish the same outcomes.
  • Granularity & Composability: Tools are atomic primitives; features are prompt-defined outcomes that can be composed into flexible workflows.
  • Context-aware orchestration: System prompts adapt to runtime data and workspace state, guiding tool selection and interaction.

Quick Start

Define a minimal agent loop using primitives (read_file, write_file, list_files) and a simple system prompt to organize a tiny data task.

Frequently Asked Questions about agent-native-architecture

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

FAQPage Schema
What is an agent-native architecture for long-running workflows?▼

An agent-native architecture enables long-running agent loops to operate on atomic primitives and prompts to achieve outcomes, rather than relying on hard-coded workflow steps.

How do I build an agent-native system for a team using shared workspaces?▼

You build it by enforcing design patterns like atomic tools, explicit completion signaling, and context injection, using a shared workspace to maintain transparency across multiple devices.

Does agent-native architecture support parity between UI actions and agent tools?▼

Yes, agent-native architecture ensures parity by requiring that UI actions have equivalent agent tools, so both users and agents can accomplish the same outcomes.

Can I use context-aware prompts to orchestrate dynamic agent workflows?▼

Yes, context-aware orchestration allows system prompts to adapt to runtime data and workspace state, dynamically guiding the agent's tool selection and interaction.

When should I use atomic tools instead of hard-coded steps for agent workflows?▼

Use atomic tools when you need granularity and composability, allowing features to be prompt-defined outcomes that can be composed into flexible, dynamic workflows.

What are the limitations of using agent-native architecture for task automation?▼

It requires enforcing modular architecture and explicit completion signaling, meaning teams must invest in designing atomic tools and context injection rather than relying on simple hard-coded steps.

Related Skills

Explore More Software Engineering Skills→
roach88roach88
3

agent-native-architecture

Build agent-native systems using atomic tools and dynamic context injection.

Community
Advanced
roberto-melloroberto-mello
50

agent-native-architecture

Design agent-native architectures with atomic tools in looping cycles.

Community
Advanced
krbylitkrbylit

agent-native-architecture

Design agent-native architectures with atomic tools and loop-driven workflows.

Community
Advanced
xxihxxih
1

team-builder

Discover, select, and run multiple AI agents in parallel with aggregated results.

Community
Intermediate