Reference Core logo

Reference Core

OrganizationPopular
angular
reference-core

Explains the mental model and architecture of the code under `packages/core`. You MUST use this skill any time you plan to work with code in `packages/core`

Overview

Publisherangular
Repositoryangular
Skill namereference-core
Stars
101K
Forks
29K
Bundled files
Instructions only
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Reference Core 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.
    https://github.com/angular/angular/tree/main/.agent/skills/reference-core
  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/angular/angular.git /tmp/angular
mkdir -p .claude/skills
cp -r /tmp/angular/.agent/skills/reference-core .claude/skills/reference-core
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reference Core 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 Reference Core 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 Reference Core 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 Core (packages/core) Mental Model

This document outlines the architecture and mental model for packages/core, the heart of the Angular framework.

1. High-Level Architecture

packages/core contains the runtime logic for Angular. Its primary responsibilities are:

  1. Rendering (Ivy/Render3): Transforming templates into DOM updates.
  2. Dependency Injection (DI): Managing object creation and lifetime.
  3. Change Detection: Synchronizing the model with the view.
  4. Reactivity: Signals and Zone.js integration.

2. Rendering Engine (Ivy / Render3)

The rendering engine (located in packages/core/src/render3) uses an instruction-based approach.

Key Concepts

  • Instructions: The Angular compiler transforms templates into a sequence of instruction calls (e.g., ɵɵelementStart, ɵɵtext, ɵɵproperty). These instructions are executed at runtime to create and update the view.

    • Location: packages/core/src/render3/instructions
  • LView (Logical View): An array containing the state of a specific view instance. It holds:

    • DOM nodes (RElement, RText).
    • Binding values (for change detection).
    • Directive/Component instances.
    • Context: packages/core/src/render3/interfaces/view.ts
  • TView (Template View): An object describing the static structure of a view; its parallel array is TView.data. It is shared across all instances (LViews) of the same component/template. It holds:

    • Property names for bindings.
    • Node relationship information.
    • Compiled directive definitions.
    • Context: packages/core/src/render3/interfaces/view.ts
  • Memory Layout: LView and TView.data are parallel arrays. Index i in LView corresponds to metadata at index i in TView.data.

    • HEADER: Fixed size, contains context (Parent, Host, etc.).
    • DECLS: Static nodes (elements, text, pipes).
    • VARS: Binding values.
    • EXPANDO: Dynamic data (host bindings, injectors).

The Render Cycle

  1. Creation Mode: Instructions create DOM nodes and store them in LView.
  2. Update Mode: Instructions check current values against previous values stored in LView. If changed, they update the DOM.

3. Dependency Injection (DI)

DI in Angular is hierarchical and split into two systems that interact:

Module Injector (R3Injector)

  • Configured via @NgModule.providers or providedIn: 'root'.
  • Stored in a hierarchy of R3Injector instances.
  • Location: packages/core/src/di/r3_injector.ts

Node Injector

  • Configured via @Component.providers or @Directive.providers.
  • Not a class, but a data structure embedded in the LView ("Expando" section).
  • Uses Bloom Filters (TView.data) to quickly check if a token is present at a specific node index before traversing up the tree.
  • Resolves tokens starting from the current node, walking up the view tree (Element Injector hierarchy), and falling back to the Module Injector if not found.

4. Change Detection

  • Dirty Checking: Angular checks if values bound in templates have changed.
  • Strategies:
    • OnPush: The default. Checks when inputs change, events fire, template signals update, or the view is explicitly marked for checking.
    • Eager: Checks whenever the change detection traversal reaches the component. (Default is the deprecated alias for Eager.)
  • Signals: The new reactivity primitive. Signals notify the scheduler when they change, potentially allowing for fine-grained updates (Zoneless).

5. Key Directories to Know

  • src/render3: The Ivy rendering engine.
    • instructions: The runtime instructions called by compiled code.
    • interfaces: LView, TView, TNode definitions.
  • src/di: Dependency injection system.
  • src/change_detection: Change detection logic.
  • src/zone: Zone.js integration.
  • src/render3/reactivity: Signals implementation (signal, computed, effect), built on the reactive graph in primitives/signals.

6. Conventions & Gotchas

  • Prefixes: Private/Internal exports often start with ɵ.
  • Global State: Ivy relies heavily on global state (e.g., getLView()) during instruction execution to avoid passing context arguments everywhere. This is for performance and code size.
  • Performance: The code is highly optimized for performance and memory. You will see arrays used instead of objects, bitmasks, and manual memory management patterns. Respect these patterns.

7. How to Modify Core

  1. Understand the Instruction: If modifying runtime behavior, find the corresponding instruction in src/render3/instructions.
  2. Check LView/TView Impact: If adding state, understand where it fits in the LView array.
  3. Tests: Core has extensive tests. Run them using Bazel.

Frequently asked questions

What does the Reference Core AI skill do?

Explains the mental model and architecture of the code under `packages/core`. You MUST use this skill any time you plan to work with code in `packages/core`

Why use Reference Core on TypingMind?

Because you install it once and use it with any model. Reference Core 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 Reference Core in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/angular/angular/tree/main/.agent/skills/reference-core. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Reference Core?

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 Reference Core?

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

Is the Reference Core AI skill free?

Yes. It is published on GitHub by angular 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇