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Angular Architecture

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HoangNguyen0403
angular-architecture

Standards for Angular project structure, feature modules, and lazy loading. Use when structuring Angular apps, defining feature modules, or configuring lazy loading.

Overview

PublisherHoangNguyen0403
Repositoryagent-skills-standard
Skill nameangular-architecture
Stars
569
Forks
164
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by HoangNguyen0403 on GitHub. Read the source before you install it.

Installation

Install the Angular Architecture 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/HoangNguyen0403/agent-skills-standard.git /tmp/agent-skills-standard
mkdir -p .claude/skills
cp -r /tmp/agent-skills-standard/skills/angular/angular-architecture .claude/skills/angular-architecture
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Angular Architecture 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 Angular Architecture 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 Angular Architecture 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.

Angular Architecture

Priority: P0 (CRITICAL)

Principles

Use the exact terms below in recommendations so the architecture decision is unambiguous: feature folder, LIFT (Locate, Identify, Flat structure, Try DRY), loadComponent, loadChildren, core/, shared/, Smart (Container), and Dumb (Presentational). When explaining a choice, state the relevant term and its concrete consequence instead of paraphrasing it away.

For direct questions, use these canonical statements when applicable: “Use feature-based organization in a feature folder”; “Use standalone components; eliminate NgModule and use standalone: true”; “Smart (Container) components manage services/state, while Dumb (Presentational) components expose inputs/outputs only; this separates data concerns from rendering”; and “Global singletons belong in core/. Reusable UI belongs in shared/. Never put singletons in shared/.”

  • Feature-Based: Organize by feature folder (e.g., features/dashboard/) containing components, services, and models. Apply LIFT: Locate, Identify, Flat structure, Try DRY.
  • Standalone First: Use standalone components, Pipes, and Directives. Eliminate NgModule for new code; use standalone: true (or default in Angular 20+).
  • Core vs Shared:
  • core/: Global singletons (AuthService, Interceptors). Never put singletons in shared/.
  • shared/: Reusable UI components, pipes, utils (Buttons, Formatters).
  • Smart vs Dumb:
  • Smart (Container): Talks to services, manages state.
  • Dumb (Presentational): Inputs/Outputs only. No logic. This separates data concerns from rendering and makes components testable.

Guidelines

  • Lazy Loading: All feature routes MUST lazy loaded using loadComponent or loadChildren.
  • Example: { path: 'dashboard', loadComponent: () => import('./features/dashboard/dashboard.component').then(m => m.DashboardComponent) }
  • Flat Modules: Avoid deep nesting of modules.
  • Barrel Files: Use carefully. Prefer direct imports for better tree-shaking in some build tools (though modern bundlers handle barrels well).

Verification Checklist (Mandatory)

  • Lazy Loading: all feature routes using loadComponent or loadChildren?
  • Standalone: components, pipes, and directives standalone?
  • Core/Shared: global services in core/ and reusable UI in shared/?
  • Smart/Dumb: presentational components logic-free with only @Input/@Output?
  • Signals: you using Signals for local state where applicable (Angular 16+)?

Anti-Patterns

  • No NgModule: Eliminate NgModule for new code; use standalone components.
  • No eager feature imports: Lazy load all features with loadComponent or loadChildren.
  • No type-based folders: Organize by feature, not by /components, /services top-level dirs.

References

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 Angular Architecture AI skill do?

Standards for Angular project structure, feature modules, and lazy loading. Use when structuring Angular apps, defining feature modules, or configuring lazy loading.

Why use Angular Architecture on TypingMind?

Because you install it once and use it with any model. Angular Architecture 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 Angular Architecture in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HoangNguyen0403/agent-skills-standard/tree/develop/skills/angular/angular-architecture. 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 Angular Architecture?

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 Angular Architecture?

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

Is the Angular Architecture AI skill free?

Yes. It is published on GitHub by HoangNguyen0403 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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