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Reference Compiler Cli

OrganizationPopular
angular
reference-compiler-cli

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

Overview

Publisherangular
Repositoryangular
Skill namereference-compiler-cli
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 Compiler Cli 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-compiler-cli
  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-compiler-cli .claude/skills/reference-compiler-cli
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reference Compiler Cli 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 Compiler Cli 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 Compiler Cli 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 Compiler CLI (ngtsc) Architecture

Overview

The packages/compiler-cli package contains the Angular Compiler (Ivy), often referred to as ngtsc. It is a wrapper around the TypeScript compiler (tsc) that extends it with Angular-specific capabilities.

The core goal of ngtsc is to compile Angular decorators (like @Component, @Directive, @Pipe) into static properties on the class (Ivy instructions, e.g., static ɵcmp = ...). It also performs template type checking and ahead-of-time (AOT) compilation.

Mental Model

The compiler is designed as a lazy, incremental, and partial compilation pipeline.

  1. Wrapper Pattern: NgtscProgram wraps the standard ts.Program. It intercepts calls to act as a drop-in replacement for standard tooling.
  2. Traits System: Every class with an Angular decorator is considered a "Trait". The compiler manages the state of these traits through a state machine:
    • Pending: Detected but not processed.
    • Analyzed: Metadata extracted, template parsed (but dependencies not yet linked).
    • Resolved: Dependencies (directives/pipes in template) resolved, import cycles handled.
    • Skipped: Not an Angular class.
  3. Lazy Analysis: Analysis only happens when necessary (e.g., when diagnostics are requested or emit is prepared).
  4. Output AST: The compiler generates an intermediate "Output AST" (o.Expression) for the generated code, which is then translated into TypeScript AST nodes during the emit phase.

Key Subsystems

1. Core Orchestration (ngtsc/core)

  • NgtscProgram: The public API implementing api.Program. It manages the ts.Program and the NgCompiler.
  • NgCompiler: The brain of the compiler. It orchestrates the compilation phases (Analysis, Resolution, Type Checking, Emit). It holds the TraitCompiler.

2. Trait Compilation (ngtsc/transform)

  • TraitCompiler: Manages the lifecycle of "Traits". It iterates over source files, identifies decorated classes, and delegates to the appropriate DecoratorHandler.
  • Trait: A state container for a class, holding its handler, analysis results, and resolution results.

3. Decorator Handlers (ngtsc/annotations)

  • DecoratorHandler: An interface for handling specific decorators.
  • ComponentDecoratorHandler: The most complex handler. It:
    • Extracts metadata (selector, inputs, outputs).
    • Parses the template.
    • Resolves used directives and pipes (R3TargetBinder).
    • Generates the ɵcmp instruction.
  • DirectiveDecoratorHandler, PipeDecoratorHandler, NgModuleDecoratorHandler: Handle their respective decorators.

4. Template Type Checking (ngtsc/typecheck)

  • TemplateTypeChecker: Generates "Type Check Blocks" (TCBs). A TCB is a block of TypeScript code that represents the template's logic in a way tsc can understand and check for errors.
  • generateTypeCheckBlock (from @angular/compiler, called by TypeCheckFile and InlineTcbOp): Generates TypeScript source for checking template bindings, events, directive usage, and host bindings.

5. Metadata & Scope (ngtsc/metadata, ngtsc/scope)

  • MetadataReader: Reads Angular metadata from source files (using LocalMetadataRegistry) and .d.ts files (using DtsMetadataReader).
  • ComponentScopeReader: Determines the "compilation scope" of a component (which directives/pipes are available to it), handling NgModule transitive exports and Standalone Component imports.

6. Emit & Transformation (ngtsc/transform)

  • ivyTransformFactory: A TypeScript transformer factory.
  • IvyCompilationVisitor: Visits classes, triggers compilation via TraitCompiler, and collects the Output AST.
  • IvyTransformationVisitor: Translates the Output AST into TypeScript AST, injects the static ɵ... fields, and removes the original decorators.

Compilation Phases

  1. Construction: NgtscProgram creates NgCompiler, which sets up all registries and the TraitCompiler.
  2. Analysis (analyzeSync):
    • The TraitCompiler scans files.
    • DecoratorHandlers extract metadata and parse templates.
    • No cross-file resolution happens here (allowing for parallelism and caching).
  3. Resolution (resolve):
    • TraitCompiler resolves traits.
    • Components link their templates to specific Directives and Pipes (found via ComponentScopeReader).
    • Import cycles are detected and handled (e.g., via "remote scoping").
  4. Type Checking:
    • TemplateTypeChecker creates TCBs for all components.
    • TypeScript diagnostics are retrieved for these TCBs.
  5. Emit (prepareEmit):
    • ivyTransformFactory is created.
    • TS emit is called.
    • The transformers run, injecting the compiled Ivy instructions into the JS/DTS output.

Important File Locations

  • packages/compiler-cli/src/ngtsc/program.ts: Entry point (NgtscProgram).
  • packages/compiler-cli/src/ngtsc/core/src/compiler.ts: Core logic (NgCompiler).
  • packages/compiler-cli/src/ngtsc/transform/src/trait.ts: Trait state machine.
  • packages/compiler-cli/src/ngtsc/annotations/component/src/handler.ts: Component compilation logic.
  • packages/compiler-cli/src/ngtsc/typecheck/src/checker.ts: Type checking logic (TemplateTypeCheckerImpl).
  • packages/compiler-cli/src/ngtsc/transform/src/transform.ts: AST transformation logic.

Frequently asked questions

What does the Reference Compiler Cli AI skill do?

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

Why use Reference Compiler Cli on TypingMind?

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

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

Which AI models can use Reference Compiler Cli?

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 Compiler Cli?

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

Is the Reference Compiler Cli 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.

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