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Reference Signal Forms

OrganizationPopular
angular
reference-signal-forms

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

Overview

Publisherangular
Repositoryangular
Skill namereference-signal-forms
Stars
101K
Forks
29K
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Reference Signal Forms 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-signal-forms
  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-signal-forms .claude/skills/reference-signal-forms
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Reference Signal Forms 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 Signal Forms 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 Signal Forms 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.

Signal Forms Architecture

The packages/forms/signals directory contains the signal-based forms API for Angular. This system differs significantly from the existing Reactive and Template-driven forms.

Mental Model

  1. Model-Driven: The system is built around a WritableSignal<T> which serves as the single source of truth. Unlike Reactive Forms where the FormControl holds the value, here the Signal holds the value. The form is merely a view or projection of that signal, adding form-specific state (validity, dirty, touched).

  2. Proxy-Based Traversal: The form API (form(signal)) returns a FieldTree. This object is a Proxy. It allows accessing nested fields (e.g., myForm.user.name) without manually creating control groups. Accessing a property on the proxy lazily resolves or creates the corresponding FieldNode.

  3. Schema-Based Logic: Validation, disabled state, and other metadata are defined separately via Schemas. Schemas are applied to the form structure using functions like apply, applyEach (for arrays), and applyWhen. This separates the structure of the data from the rules governing it.

  4. Directives as Glue: The [formField] directive binds a DOM element (native input or custom control) to a FieldNode. It handles:

    • Syncing the value between the DOM and the Signal.
    • Reflecting state (valid, touched, etc.) to the UI.
    • Handling user interaction events (blur, input).

Key Components

1. FieldNode (src/field/node.ts)

The central internal class representing a single field in the form graph. It aggregates several state managers:

  • structure: Manages parent/child relationships and signal slicing.
  • validationState: Computes valid, invalid, errors signals.
  • nodeState: Tracks touched, dirty, and derived logical state.
  • metadataState: Stores metadata like min, max, required.
  • submitState: Tracks submission status and server errors.

2. FieldValidationState (src/field/validation.ts)

Implements ValidationState and manages the complexity of validation:

  • Synchronous Errors: Derived from schema rules.
  • Asynchronous Errors: Handled via signals, including 'pending' states.
  • Tree Errors: Errors that bubble up or are targeted at specific fields.
  • Submission Errors: Server-side errors injected imperatively via submit().

3. FormField Directive (src/directive/form_field.ts)

The bridge between the FieldNode and the DOM.

  • Selector: [formField]
  • It supports:
    • Native Elements: <input>, <select>, <textarea>.
    • Custom Controls: Components implementing FormValueControl or FormCheckboxControl.
    • Legacy Interop: Components implementing ControlValueAccessor (via InteropNgControl).

4. Schema (src/api/structure.ts & src/api/rules)

Defines the behavior.

  • Created via schema(fn).
  • Applied via apply(path, schema).
  • Rules include validators (required, pattern, min, max) and state modifiers (disabled, hidden).

Data Flow

  1. Read: form.field().value() reads directly from the underlying signal (projected to the specific path).
  2. Write: Writing to the form (e.g., via UI) updates the underlying signal.
  3. Validation: A computed effect observes the value signal and runs validators defined in the schema.

Usage Example (Conceptual)

typescript
// 1. Define Model
const user = signal({name: '', age: 0});

// 2. Define Schema
const userRules = schema((u) => {
  required(u.name);
  min(u.age, 18);
});

// 3. Create Form
const userForm = form(user, userRules); // OR apply(userForm, userRules)

// 4. Bind in Template
// <input [formField]="userForm.name">

Important Files

  • packages/forms/signals/src/api/structure.ts: Public API entry points (form, apply).
  • packages/forms/signals/src/api/control.ts: Interfaces for custom controls (FormUiControl).
  • packages/forms/signals/src/field/node.ts: The FieldNode implementation.
  • packages/forms/signals/src/directive/form_field.ts: The [formField] directive.

Supplemental Information

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 Reference Signal Forms AI skill do?

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

Why use Reference Signal Forms on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/angular/angular/tree/main/.agent/skills/reference-signal-forms. 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 Reference Signal Forms?

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 Signal Forms?

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

Is the Reference Signal Forms 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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