Every developer using Cursor, Claude Code, Windsurf, or GitHub Copilot knows this exact frustration:

You are building a cutting-edge Angular 22 application. You ask your AI coding assistant to spin up a dynamic form, a lazy-loaded list, or an asynchronous data card. Instead of leveraging modern fine-grained reactive Signals, optimized native block control flows, or proper SSR hydration hooks, the AI drops an unoptimized pile of legacy tech debt full of NgModules, *ngIf, *ngFor, and raw RxJS BehaviorSubjects.

The LLM Training Paradox

Why does this happen? Large Language Models are trained on historical code datasets. Statistically, more than 90% of the public Angular repositories and StackOverflow threads on the internet represent older paradigms. Left to their own devices, agents default to the statistical average of their training data. They literally default to the past.

The Fix: angular22-agent-skills

To solve this, I built a public, open-source repository of custom instruction bundles and system guardrails leveraging the new skills.sh tool standard.

By injecting this verified context directly into your development environment, you force your local AI agents to bypass their training averages and write pristine, optimized, modern Angular 22 syntax every single time.

👉 Check out the repo here: https://github.com/PavanAnguluri/angular22-agent-skills

🔍 The Difference: Before vs. After

To understand why these guardrails are necessary, look at what an AI agent writes out of the box versus what it writes once you apply the angular22-agent-skills harness.

🚫 What AI Agents Generate by Default (Legacy)

// The AI falls back to old decorators and heavy RxJS boilerplate for standard state
import { Component, Input, OnInit } from '@angular/core';
import { BehaviorSubject } from 'rxjs';

@Component({
  selector: 'app-user-profile',
  template: `
    <div *ngIf="visible">
      <h3>{{ firstName }} {{ lastName }}</h3>
      <div *ngFor="let item of items">
        {{ item.name }}
      </div>
    </div>
  `
})
export class UserProfileComponent implements OnInit {
  @Input() firstName: string = '';
  @Input() lastName: string = '';

  visible = true;
  items = [];

  ngOnInit() {
    // Legacy lifecycle hooks and imperative data fetching
  }
}

✅ What the AI Generates with the Guardrails (Angular 22 Pristine)

// Optimized, fine-grained reactivity with zero legacy structural directives
import { Component, signal, computed, input } from '@angular/core';

@Component({
  standalone: true,
  selector: 'app-user-profile',
  template: `
    @if (visible()) {
      <h3>{{ fullName() }}</h3>

      @for (item of items(); track item.id) {
        <div>{{ item.name }}</div>
      } @empty {
        <p>No records found.</p>
      }
    }
  `
})
export class UserProfileComponent {
  // Signal-based inputs
  firstName = input.required<string>();
  lastName = input.required<string>();

  // Local state and computed values
  visible = signal(true);
  items = signal<{ id: number; name: string }[]>([]);

  fullName = computed(() => `${this.firstName()} ${this.lastName()}`);
}

🛠️ Deep Dive: The 5 Core Guardrails Inside

The repository enforces strict compiler and template compliance across five critical modern Angular engineering pillars:

1. ng22-reactivity (Signal Discipline)

Bans the use of legacy @Input() and @Output() decorators. Forces the agent to utilize standard signal(), derived computed() state, and the mutable model() primitive for two-way component sync.

2. ng22-control-flow (Block Syntax Enforcer)

Hard-bans template structural directives (*ngIf, *ngFor, *ngSwitch). Forces the agent to use compiler-optimized @if branches and strict @for (track uniqueId) iteration loops with explicit @empty handler blocks to optimize DOM performance.

3. ng22-deferrable-views (Lazy Loading Splitter)

Teaches the agent how and when to leverage chunk-splitting. It automatically wraps resource-heavy elements below the fold in @defer (on viewport; prefetch on idle) layout hierarchies complete with loading skeletons.

4. ng22-signal-forms (Modern Form Handling)

Agents struggle with modern form architectures. This module ensures your assistant implements pristine forms using the reactive Signal Forms API, cleanly handling inline state tracking (pristine, dirty, valid) with zero verbose legacy form group configurations.

5. ng22-ssr-hydration (SSR & Event Replay Safety)

Blocks agents from accidentally breaking Server-Side Rendering. It explicitly instructs them never to blindly access the global window or document objects during bootstrap, utilizing Angular 22's progressive event replay and incremental hydration hooks instead.

🚀 How to Install It in Your Workspace (Under 10 Seconds)

Because this repo follows the universal developer skill registry standard, you can inject these strict architectural rules into your active development space with a single CLI command:

npx skills add PavanAnguluri/angular22-agent-skills

This immediately fetches the schema blueprints and feeds them directly to your coding environment—whether your agent is driven by Claude Sonnet, Gemini Pro, or GPT.

Join the Community

If you are tired of correcting your AI assistant's outdated code generation, apply these constraints to your development workflow.

Star the repository to support the project, open an issue if there is a specific Angular 22 architecture rule you want to see added, or drop a Pull Request to contribute your own custom agent rule sets!

👇 Get Started Here:

GitHub Repository: PavanAnguluri/angular22-agent-skills