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alinaqi
firebase

Firebase Firestore, Auth, Storage, real-time listeners, security rules

Overview

Publisheralinaqi
Repositorymaggy
Skill namefirebase
Stars
707
Forks
57
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 alinaqi on GitHub. Read the source before you install it.

Installation

Install the Firebase 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/alinaqi/maggy/tree/main/skills/firebase
  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/alinaqi/maggy.git /tmp/maggy
mkdir -p .claude/skills
cp -r /tmp/maggy/skills/firebase .claude/skills/firebase
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Firebase 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 Firebase 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 Firebase 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.

Firebase Skill

Firebase/Firestore patterns for web and mobile applications with real-time data, offline support, and security rules.

Sources: Firebase Docs | Firestore Best Practices | Security Rules


Core Principle

Denormalize with purpose, secure with rules, scale horizontally.

Firestore is a document database - embrace denormalization for read efficiency. Security rules are your server-side validation. Design for your access patterns.


Firebase Stack

ServicePurpose
FirestoreNoSQL document database with real-time sync
AuthenticationUser auth, OAuth, anonymous sessions
StorageFile uploads with security rules
FunctionsServerless backend (Node.js)
HostingStatic site + CDN
ExtensionsPre-built solutions (Stripe, Algolia, etc.)

Project Setup

Install Firebase CLI

bash
# Install globally
npm install -g firebase-tools

# Login
firebase login

# Initialize in project
firebase init

Initialize with Emulators

bash
firebase init emulators

# Start local development
firebase emulators:start

Project Structure

project/
├── firebase.json           # Firebase config
├── firestore.rules         # Security rules
├── firestore.indexes.json  # Composite indexes
├── storage.rules           # Storage security rules
└── functions/              # Cloud Functions
    ├── src/
    ├── package.json
    └── tsconfig.json

Firestore Data Modeling

Document Structure

typescript
// Good: Flat documents with all needed data
interface Post {
  id: string;
  title: string;
  content: string;
  authorId: string;
  authorName: string;      // Denormalized for display
  authorAvatar: string;    // Denormalized
  tags: string[];
  likeCount: number;       // Aggregated counter
  createdAt: Timestamp;
  updatedAt: Timestamp;
}

// Collection: posts/{postId}

When to Use Subcollections

typescript
// Use subcollections for:
// 1. Unbounded lists (comments, messages)
// 2. Data with different access patterns
// 3. Data that grows independently

// posts/{postId}/comments/{commentId}
interface Comment {
  id: string;
  text: string;
  authorId: string;
  authorName: string;
  createdAt: Timestamp;
}

Data Model Patterns

typescript
// Pattern 1: Embedded data (bounded, always needed)
interface User {
  id: string;
  email: string;
  profile: {
    displayName: string;
    bio: string;
    avatar: string;
  };
  settings: {
    notifications: boolean;
    theme: 'light' | 'dark';
  };
}

// Pattern 2: Reference with denormalization
interface Order {
  id: string;
  userId: string;
  userEmail: string;  // Denormalized for display
  items: OrderItem[]; // Embedded (bounded)
  total: number;
  status: 'pending' | 'paid' | 'shipped';
}

// Pattern 3: Aggregation documents
// Keep counters in parent document
interface Channel {
  id: string;
  name: string;
  memberCount: number;  // Updated via Cloud Function
  messageCount: number;
}

TypeScript SDK (Modular v9+)

Initialize Firebase

typescript
// lib/firebase.ts
import { initializeApp, getApps } from 'firebase/app';
import { getFirestore, connectFirestoreEmulator } from 'firebase/firestore';
import { getAuth, connectAuthEmulator } from 'firebase/auth';
import { getStorage, connectStorageEmulator } from 'firebase/storage';

const firebaseConfig = {
  apiKey: process.env.NEXT_PUBLIC_FIREBASE_API_KEY,
  authDomain: process.env.NEXT_PUBLIC_FIREBASE_AUTH_DOMAIN,
  projectId: process.env.NEXT_PUBLIC_FIREBASE_PROJECT_ID,
  storageBucket: process.env.NEXT_PUBLIC_FIREBASE_STORAGE_BUCKET,
  messagingSenderId: process.env.NEXT_PUBLIC_FIREBASE_MESSAGING_SENDER_ID,
  appId: process.env.NEXT_PUBLIC_FIREBASE_APP_ID
};

// Initialize only once
const app = getApps().length === 0 ? initializeApp(firebaseConfig) : getApps()[0];

export const db = getFirestore(app);
export const auth = getAuth(app);
export const storage = getStorage(app);

// Connect to emulators in development
if (process.env.NODE_ENV === 'development') {
  connectFirestoreEmulator(db, 'localhost', 8080);
  connectAuthEmulator(auth, 'http://localhost:9099');
  connectStorageEmulator(storage, 'localhost', 9199);
}

CRUD Operations

typescript
import {
  collection,
  doc,
  getDoc,
  getDocs,
  addDoc,
  setDoc,
  updateDoc,
  deleteDoc,
  query,
  where,
  orderBy,
  limit,
  startAfter,
  serverTimestamp,
  Timestamp
} from 'firebase/firestore';
import { db } from './firebase';

// Create
async function createPost(data: Omit<Post, 'id' | 'createdAt' | 'updatedAt'>) {
  const docRef = await addDoc(collection(db, 'posts'), {
    ...data,
    createdAt: serverTimestamp(),
    updatedAt: serverTimestamp()
  });
  return docRef.id;
}

// Read single document
async function getPost(postId: string): Promise<Post | null> {
  const docSnap = await getDoc(doc(db, 'posts', postId));
  if (!docSnap.exists()) return null;
  return { id: docSnap.id, ...docSnap.data() } as Post;
}

// Query with filters
async function getPostsByAuthor(authorId: string, pageSize = 10) {
  const q = query(
    collection(db, 'posts'),
    where('authorId', '==', authorId),
    orderBy('createdAt', 'desc'),
    limit(pageSize)
  );
  const snapshot = await getDocs(q);
  return snapshot.docs.map(doc => ({ id: doc.id, ...doc.data() } as Post));
}

// Pagination
async function getNextPage(lastDoc: Post, pageSize = 10) {
  const q = query(
    collection(db, 'posts'),
    orderBy('createdAt', 'desc'),
    startAfter(lastDoc.createdAt),
    limit(pageSize)
  );
  const snapshot = await getDocs(q);
  return snapshot.docs.map(doc => ({ id: doc.id, ...doc.data() } as Post));
}

// Update
async function updatePost(postId: string, data: Partial<Post>) {
  await updateDoc(doc(db, 'posts', postId), {
    ...data,
    updatedAt: serverTimestamp()
  });
}

// Delete
async function deletePost(postId: string) {
  await deleteDoc(doc(db, 'posts', postId));
}

Real-time Listeners

typescript
import { onSnapshot, QuerySnapshot, DocumentSnapshot } from 'firebase/firestore';

// Listen to single document
function subscribeToPost(
  postId: string,
  onData: (post: Post | null) => void,
  onError: (error: Error) => void
) {
  return onSnapshot(
    doc(db, 'posts', postId),
    (snapshot: DocumentSnapshot) => {
      if (!snapshot.exists()) {
        onData(null);
        return;
      }
      onData({ id: snapshot.id, ...snapshot.data() } as Post);
    },
    onError
  );
}

// Listen to collection with query
function subscribeToPosts(
  authorId: string,
  onData: (posts: Post[]) => void,
  onError: (error: Error) => void
) {
  const q = query(
    collection(db, 'posts'),
    where('authorId', '==', authorId),
    orderBy('createdAt', 'desc')
  );

  return onSnapshot(
    q,
    (snapshot: QuerySnapshot) => {
      const posts = snapshot.docs.map(doc => ({
        id: doc.id,
        ...doc.data()
      } as Post));
      onData(posts);
    },
    onError
  );
}

// React hook example
function usePost(postId: string) {
  const [post, setPost] = useState<Post | null>(null);
  const [loading, setLoading] = useState(true);
  const [error, setError] = useState<Error | null>(null);

  useEffect(() => {
    const unsubscribe = subscribeToPost(
      postId,
      (data) => {
        setPost(data);
        setLoading(false);
      },
      (err) => {
        setError(err);
        setLoading(false);
      }
    );
    return unsubscribe;
  }, [postId]);

  return { post, loading, error };
}

Offline Persistence (Web)

typescript
import { enableIndexedDbPersistence, enableMultiTabIndexedDbPersistence } from 'firebase/firestore';

// Enable offline persistence (call once at startup)
async function enableOffline() {
  try {
    // Single tab
    await enableIndexedDbPersistence(db);

    // OR multi-tab (recommended)
    await enableMultiTabIndexedDbPersistence(db);
  } catch (err: any) {
    if (err.code === 'failed-precondition') {
      // Multiple tabs open, only works in one
      console.warn('Persistence only available in one tab');
    } else if (err.code === 'unimplemented') {
      // Browser doesn't support
      console.warn('Persistence not supported');
    }
  }
}

// Check if data is from cache
onSnapshot(docRef, (snapshot) => {
  const source = snapshot.metadata.fromCache ? 'cache' : 'server';
  console.log(`Data from ${source}`);

  if (snapshot.metadata.hasPendingWrites) {
    console.log('Local changes pending sync');
  }
});

Security Rules

Basic Rules Structure

javascript
// firestore.rules
rules_version = '2';
service cloud.firestore {
  match /databases/{database}/documents {

    // Helper functions
    function isAuthenticated() {
      return request.auth != null;
    }

    function isOwner(userId) {
      return request.auth.uid == userId;
    }

    function isAdmin() {
      return request.auth.token.admin == true;
    }

    // Posts collection
    match /posts/{postId} {
      // Anyone can read published posts
      allow read: if resource.data.status == 'published';

      // Only authenticated users can create
      allow create: if isAuthenticated()
        && request.resource.data.authorId == request.auth.uid
        && request.resource.data.keys().hasAll(['title', 'content', 'authorId']);

      // Only author can update
      allow update: if isOwner(resource.data.authorId)
        && request.resource.data.authorId == resource.data.authorId; // Can't change author

      // Only author or admin can delete
      allow delete: if isOwner(resource.data.authorId) || isAdmin();

      // Comments subcollection
      match /comments/{commentId} {
        allow read: if true;
        allow create: if isAuthenticated();
        allow update, delete: if isOwner(resource.data.authorId);
      }
    }

    // User profiles
    match /users/{userId} {
      allow read: if true;
      allow create: if isAuthenticated() && isOwner(userId);
      allow update: if isOwner(userId);
      allow delete: if false; // Never allow delete
    }

    // Private user data
    match /users/{userId}/private/{document=**} {
      allow read, write: if isOwner(userId);
    }
  }
}

Data Validation in Rules

javascript
match /posts/{postId} {
  function isValidPost() {
    let data = request.resource.data;
    return data.title is string
      && data.title.size() >= 3
      && data.title.size() <= 100
      && data.content is string
      && data.content.size() <= 50000
      && data.tags is list
      && data.tags.size() <= 5;
  }

  allow create: if isAuthenticated() && isValidPost();
  allow update: if isOwner(resource.data.authorId) && isValidPost();
}

Test Rules Locally

bash
# Install emulators
firebase emulators:start

# Run rules tests
npm test
typescript
// tests/firestore.rules.test.ts
import { assertFails, assertSucceeds, initializeTestEnvironment } from '@firebase/rules-unit-testing';

describe('Firestore Rules', () => {
  let testEnv: RulesTestEnvironment;

  beforeAll(async () => {
    testEnv = await initializeTestEnvironment({
      projectId: 'test-project',
      firestore: { rules: fs.readFileSync('firestore.rules', 'utf8') }
    });
  });

  test('unauthenticated users cannot write', async () => {
    const unauthedDb = testEnv.unauthenticatedContext().firestore();
    await assertFails(
      setDoc(doc(unauthedDb, 'posts/test'), { title: 'Test' })
    );
  });

  test('users can only update own posts', async () => {
    const aliceDb = testEnv.authenticatedContext('alice').firestore();
    const bobDb = testEnv.authenticatedContext('bob').firestore();

    // Create as Alice
    await assertSucceeds(
      setDoc(doc(aliceDb, 'posts/test'), { title: 'Test', authorId: 'alice' })
    );

    // Bob cannot update
    await assertFails(
      updateDoc(doc(bobDb, 'posts/test'), { title: 'Hacked' })
    );
  });
});

Authentication

Email/Password Auth

typescript
import {
  createUserWithEmailAndPassword,
  signInWithEmailAndPassword,
  signOut,
  onAuthStateChanged,
  User
} from 'firebase/auth';
import { auth } from './firebase';

// Sign up
async function signUp(email: string, password: string) {
  const credential = await createUserWithEmailAndPassword(auth, email, password);
  return credential.user;
}

// Sign in
async function signIn(email: string, password: string) {
  const credential = await signInWithEmailAndPassword(auth, email, password);
  return credential.user;
}

// Sign out
async function logout() {
  await signOut(auth);
}

// Auth state listener
function onAuthChange(callback: (user: User | null) => void) {
  return onAuthStateChanged(auth, callback);
}

OAuth Providers

typescript
import {
  GoogleAuthProvider,
  signInWithPopup,
  signInWithRedirect
} from 'firebase/auth';

const googleProvider = new GoogleAuthProvider();

async function signInWithGoogle() {
  try {
    const result = await signInWithPopup(auth, googleProvider);
    return result.user;
  } catch (error) {
    // Handle errors
    throw error;
  }
}

Cloud Functions

Basic HTTP Function

typescript
// functions/src/index.ts
import { onRequest } from 'firebase-functions/v2/https';
import { onDocumentCreated } from 'firebase-functions/v2/firestore';
import { initializeApp } from 'firebase-admin/app';
import { getFirestore } from 'firebase-admin/firestore';

initializeApp();
const db = getFirestore();

// HTTP endpoint
export const helloWorld = onRequest((request, response) => {
  response.json({ message: 'Hello from Firebase!' });
});

// Firestore trigger
export const onPostCreated = onDocumentCreated('posts/{postId}', async (event) => {
  const snapshot = event.data;
  if (!snapshot) return;

  const post = snapshot.data();

  // Update author's post count
  await db.doc(`users/${post.authorId}`).update({
    postCount: FieldValue.increment(1)
  });
});

Callable Functions

typescript
// Backend
import { onCall, HttpsError } from 'firebase-functions/v2/https';

export const createPost = onCall(async (request) => {
  // Auth check
  if (!request.auth) {
    throw new HttpsError('unauthenticated', 'Must be logged in');
  }

  const { title, content } = request.data;

  // Validation
  if (!title || title.length < 3) {
    throw new HttpsError('invalid-argument', 'Title must be at least 3 characters');
  }

  // Create post
  const postRef = await db.collection('posts').add({
    title,
    content,
    authorId: request.auth.uid,
    createdAt: FieldValue.serverTimestamp()
  });

  return { postId: postRef.id };
});

// Frontend
import { getFunctions, httpsCallable } from 'firebase/functions';

const functions = getFunctions();
const createPostFn = httpsCallable(functions, 'createPost');

async function createPost(title: string, content: string) {
  const result = await createPostFn({ title, content });
  return result.data as { postId: string };
}

Batch Operations & Transactions

Batch Writes

typescript
import { writeBatch, doc } from 'firebase/firestore';

async function batchUpdate(updates: { id: string; data: any }[]) {
  const batch = writeBatch(db);

  updates.forEach(({ id, data }) => {
    batch.update(doc(db, 'posts', id), data);
  });

  await batch.commit(); // Atomic
}

Transactions

typescript
import { runTransaction, doc, increment } from 'firebase/firestore';

async function likePost(postId: string, userId: string) {
  await runTransaction(db, async (transaction) => {
    const postRef = doc(db, 'posts', postId);
    const likeRef = doc(db, 'posts', postId, 'likes', userId);

    const postSnap = await transaction.get(postRef);
    if (!postSnap.exists()) throw new Error('Post not found');

    const likeSnap = await transaction.get(likeRef);
    if (likeSnap.exists()) throw new Error('Already liked');

    transaction.set(likeRef, { createdAt: serverTimestamp() });
    transaction.update(postRef, { likeCount: increment(1) });
  });
}

Indexes

Composite Indexes

json
// firestore.indexes.json
{
  "indexes": [
    {
      "collectionGroup": "posts",
      "queryScope": "COLLECTION",
      "fields": [
        { "fieldPath": "authorId", "order": "ASCENDING" },
        { "fieldPath": "createdAt", "order": "DESCENDING" }
      ]
    },
    {
      "collectionGroup": "posts",
      "queryScope": "COLLECTION",
      "fields": [
        { "fieldPath": "tags", "arrayConfig": "CONTAINS" },
        { "fieldPath": "createdAt", "order": "DESCENDING" }
      ]
    }
  ]
}
bash
# Deploy indexes
firebase deploy --only firestore:indexes

CLI Quick Reference

bash
# Project setup
firebase login                       # Authenticate
firebase init                        # Initialize project
firebase projects:list               # List projects

# Emulators
firebase emulators:start             # Start all emulators
firebase emulators:start --only firestore,auth  # Specific emulators

# Deploy
firebase deploy                      # Deploy everything
firebase deploy --only firestore     # Deploy rules + indexes
firebase deploy --only functions     # Deploy functions
firebase deploy --only hosting       # Deploy hosting

# Functions
cd functions && npm run build        # Build TypeScript
firebase functions:log               # View logs

Anti-Patterns

  • No security rules - Always write rules, never use test mode in production
  • Deep nesting - Keep documents flat, max 2-3 levels
  • Large documents - Max 1MB, split if larger
  • Unbounded arrays - Use subcollections for lists that grow
  • No offline handling - Enable persistence for mobile/PWA
  • Reading all fields - Use field masks or Firestore Lite
  • Ignoring indexes - Check console for missing index errors
  • No emulator testing - Always test rules before deploy

Frequently asked questions

What does the Firebase AI skill do?

Firebase Firestore, Auth, Storage, real-time listeners, security rules

Why use Firebase on TypingMind?

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

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

Which AI models can use Firebase?

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 Firebase?

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

Is the Firebase AI skill free?

Yes. It is published on GitHub by alinaqi 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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