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Architecting Systems

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rileyhilliard
architecting-systems

Guides clean, scalable system architecture during the build phase. Use when designing modules, defining boundaries, structuring projects, managing dependencies, or preventing tight coupling and brittleness as systems grow.

Overview

Publisherrileyhilliard
Repositoryclaude-essentials
Skill namearchitecting-systems
Stars
127
Forks
19
Bundled files
5
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 5 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by rileyhilliard on GitHub. Read the source before you install it.

Installation

Install the Architecting Systems AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rileyhilliard/claude-essentials.git /tmp/claude-essentials
mkdir -p .claude/skills
cp -r /tmp/claude-essentials/plugins/ce/skills/architecting-systems .claude/skills/architecting-systems
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Architecting Systems in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Architecting Systems on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Architecting Systems is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Architecting Systems

Core principle: Small decisions made early compound into either clean systems or massive technical debt. Get the structure right and the system stays maintainable as it grows. Get it wrong and every change gets harder.

Topic Selection

Load the relevant reference based on what you're working on:

Working on...LoadFile
Layers, vertical slices, file organizationStructurereferences/structure.md
Interfaces, dependency inversion, contractsCouplingreferences/coupling.md
Bounded contexts, API design, module boundariesBoundariesreferences/boundaries.md
Async patterns, race conditions, queuesConcurrencyreferences/concurrency.md
Logging, health checks, metrics, tracingObservabilityreferences/observability.md

Load multiple references when the task spans topics. For most greenfield work, start with Structure and Coupling.


Core Principles (All Topics)

Complexity budget

Every architectural decision has a complexity cost. Spend that budget where it matters.

Worth the complexityNot worth it
Separation between domains that change independentlyAbstracting code that only has one implementation
Event-driven for genuinely async workflowsEvent-driven for simple request-response flows
Caching for measured performance bottlenecksCaching "just in case"
Microservices for teams that deploy independentlyMicroservices for a small team's monolith

The rule: Don't add indirection until you need it. Premature abstraction is as costly as premature optimization. Two similar code blocks are better than a wrong abstraction.


Quick Reference

ProblemResponse
"Where does this code go?"If the answer isn't obvious, the structure needs work
"Changing X requires touching Y"Missing boundary between X and Y
"This module does too many things"Split along separate reasons to change
"We can't test this in isolation"Hidden dependencies; inject them instead
"New devs take weeks to be productive"Conventions are too weak or too novel
"Every PR touches 10 files"Feature code is scattered; colocate it
"The shared folder keeps growing"Boundaries are in the wrong place

Writing architecture documents? This skill covers how to build. For how to write about it (ADRs, design docs, tradeoff analyses), load Skill(writer) and use The Architect persona.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Architecting Systems AI skill do?

Guides clean, scalable system architecture during the build phase. Use when designing modules, defining boundaries, structuring projects, managing dependencies, or preventing tight coupling and brittleness as systems grow.

Why use Architecting Systems on TypingMind?

Because you install it once and use it with any model. Architecting Systems is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Architecting Systems in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rileyhilliard/claude-essentials/tree/main/plugins/ce/skills/architecting-systems. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Architecting Systems?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Architecting Systems?

As many as you like. As long as a model supports skills, you can use Architecting Systems with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Architecting Systems AI skill free?

Yes. It is published on GitHub by rileyhilliard under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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