ia-agent-native-architecture

Community

Design agent-native systems with confidence.

Authoriliaal
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Agent-native design guidance so you can plan systems where agents replace UI users as the primary actor, achieving parity, composability, and verifiable execution instead of brittle workflows.

Core Features & Use Cases

  • Agent-native architecture principles: Apply parity, granularity, composability, emergent capability, and improvement over time.
  • Reference routing for the exact design concern: Use topic-based branches to jump into files covering architecture patterns, files/workspace interfaces, tool/MCP design, execution/completion, prompts, context injection, and testing criteria.
  • Implementation-grade checklist: Translate guidance into a concrete review before building, including hooks/governance automation, security boundaries, and success verification.

Quick Start

Ask your AI agent to design an MCP tool-driven architecture and then run through the Architecture Review Checklist against your proposed plan before you start implementing it.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ia-agent-native-architecture
Download link: https://github.com/iliaal/whetstone/archive/main.zip#ia-agent-native-architecture

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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