firebase
Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong.
About this skill
This skill transforms the AI agent into an experienced Firebase developer, well-versed in the practical challenges and 'sharp edges' of building projects on the platform. It instills a cautious, best-practice-oriented mindset, guiding the agent to advise on secure configurations, cost-effective data models, scalable architectures, and migration strategies that avoid common pitfalls. The agent gains an understanding of the consequences of neglecting security rules, designing Firestore like a relational database, or attaching listeners to large collections, leading to security breaches, unqueryable data, and runaway costs. It leverages real-world lessons to provide advice that prioritizes long-term maintainability, security, and financial viability.
Best use case
Guiding development teams on Firebase project architecture, reviewing existing Firebase implementations for security and performance vulnerabilities, troubleshooting scaling issues, advising on data modeling, or suggesting migration strategies based on proven best practices.
Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong.
The AI agent will provide highly informed, practical, and security-conscious advice on Firebase. Responses will reflect a deep understanding of potential risks and offer robust, scalable solutions, helping users avoid common and costly mistakes that often arise from a superficial understanding of the platform.
Practical example
Example input
I'm planning a new social media app using Firebase. How should I design my Firestore database for user posts and comments to ensure scalability and cost-efficiency, and what are the key security considerations I should be aware of from day one?
Example output
As a seasoned Firebase developer, I've seen many projects thrive and many falter, often due to early architectural decisions. For your social media app, let's tackle scalability, cost, and security for posts and comments head-on:
**Firestore Data Model (Scalability & Cost):**
1. **Denormalization is Your Friend:** Unlike SQL, avoid strict normalization. For user posts, you might store a summary of the post directly in the user's document or a 'feed' collection, and the full post in its own `posts` collection. For comments, consider subcollections under posts, but be mindful of deep nesting.
2. **Collection Group Queries:** Plan for this early if you need to query comments across all posts. If you just need comments for a specific post, a subcollection is fine.
3. **Pagination is Essential:** Never fetch all posts or comments at once. Implement `startAfter()` / `limit()` for feeds to keep reads low.
4. **Avoid Large Documents:** Don't store massive arrays or objects in a single document. Break them down if possible. A single document read is billed regardless of how much data you access within it.
5. **Fan-out for Feeds:** For user feeds, consider 'fan-out on write'. When a user posts, write it not only to their `posts` collection but also to the 'feeds' of their followers. This makes read operations (fetching feeds) very fast and cheap, though writes are more complex.
**Security Rules (From Day One):**
This is non-negotiable. Skipping security rules is how projects get pwned and costs skyrocket.
1. **Principle of Least Privilege:** Users should only be able to read/write data they *need* to access.
* **Posts:** A user can create their own post (`request.auth.uid == userId`) and read public posts (`true` for public, or conditional for followers). Editing should be restricted to the post owner.
* **Comments:** Similar to posts. A user can create a comment if they are authenticated. Reading comments might be public or tied to post visibility.
2. **Validate Data:** Use `request.resource.data` to validate incoming data. For example, ensure a 'likeCount' field can only be incremented by a server-side function, not directly by a user.
3. **Prevent Abuse:** Rules can prevent rapid-fire writes or reads from a single client if you structure them carefully, though this is often better handled by Cloud Functions for more complex abuse patterns.
4. **Testing:** Thoroughly test your rules with the Firebase Emulator Suite *before* deploying.
**Cost Management:**
1. **Minimize Reads:** Firestore bills per document read. Aggressive querying of large collections *without limits* is the fastest way to a surprise bill.
2. **Listen Smartly:** Attaching real-time listeners to entire collections can be very expensive if the data changes frequently or the collection is large. Use listeners on specific documents or queries with tight limits.
3. **Cloud Functions:** Use functions for complex logic, data aggregation, or integrating with external services. They are billed separately but can centralize logic and reduce client-side complexity, potentially saving on direct client reads/writes.
Remember, Firebase is powerful, but its serverless nature means you pay for what you use. Design with that in mind from the start, and you'll avoid the common pitfalls of security breaches, unqueryable data, and unexpected $10k bills.When to use this skill
- When an AI agent needs to provide expert, cautionary advice on Firebase project planning or design.
- When evaluating the security posture, cost efficiency, or scalability of an existing Firebase application.
- When the user is looking for practical, experience-based recommendations for Firebase development that go beyond basic tutorials.
- When an AI agent needs to explain the 'why' behind Firebase best practices, emphasizing potential risks and solutions.
When not to use this skill
- When simple, boilerplate Firebase code generation is needed without complex architectural or security considerations.
- When the task is purely about basic Firebase API usage without requiring deep best-practice analysis.
- When the AI needs to integrate with a different cloud platform (e.g., AWS, Azure) where Firebase expertise is irrelevant.
- When rapid prototyping where initial security or cost optimizations are not the primary concern.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/firebase/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How firebase Compares
| Feature / Agent | firebase | Standard Approach |
|---|---|---|
| Platform Support | Claude | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | easy | N/A |
Frequently Asked Questions
What does this skill do?
Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting. But the ease of setup hides real complexity. Security rules are your last line of defense, and they're often wrong.
Which AI agents support this skill?
This skill is designed for Claude.
How difficult is it to install?
The installation complexity is rated as easy. You can find the installation instructions above.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Firebase
Firebase gives you a complete backend in minutes - auth, database, storage,
functions, hosting. But the ease of setup hides real complexity. Security rules
are your last line of defense, and they're often wrong. Firestore queries are
limited, and you learn this after you've designed your data model.
This skill covers Firebase Authentication, Firestore, Realtime Database, Cloud
Functions, Cloud Storage, and Firebase Hosting. Key insight: Firebase is
optimized for read-heavy, denormalized data. If you're thinking relationally,
you're thinking wrong.
2025 lesson: Firestore pricing can surprise you. Reads are cheap until they're
not. A poorly designed listener can cost more than a dedicated database. Plan
your data model for your query patterns, not your data relationships.
## Principles
- Design data for queries, not relationships
- Security rules are mandatory, not optional
- Denormalize aggressively - duplication is cheap, joins are expensive
- Batch writes and transactions for consistency
- Use offline persistence wisely - it's not free
- Cloud Functions for what clients shouldn't do
- Environment-based config, never hardcode keys in client
## Capabilities
- firebase-auth
- firestore
- firebase-realtime-database
- firebase-cloud-functions
- firebase-storage
- firebase-hosting
- firebase-security-rules
- firebase-admin-sdk
- firebase-emulators
## Scope
- general-backend-architecture -> backend
- payment-processing -> stripe
- email-sending -> email
- advanced-auth-flows -> authentication-oauth
- kubernetes-deployment -> devops
## Tooling
### Core
- firebase - When: Client-side SDK Note: Modular SDK - tree-shakeable
- firebase-admin - When: Server-side / Cloud Functions Note: Full access, bypasses security rules
- firebase-functions - When: Cloud Functions v2 Note: v2 functions are recommended
### Testing
- @firebase/rules-unit-testing - When: Testing security rules Note: Essential - rules bugs are security bugs
- firebase-tools - When: Emulator suite Note: Local development without hitting production
### Frameworks
- reactfire - When: React + Firebase Note: Hooks-based, handles subscriptions
- vuefire - When: Vue + Firebase Note: Vue-specific bindings
- angularfire - When: Angular + Firebase Note: Official Angular bindings
## Patterns
### Modular SDK Import
Import only what you need for smaller bundles
**When to use**: Client-side Firebase usage
# MODULAR IMPORTS:
"""
Firebase v9+ uses modular SDK. Import only what you need.
This enables tree-shaking and smaller bundles.
"""
// WRONG: v8-compat style (larger bundle)
import firebase from 'firebase/compat/app';
import 'firebase/compat/firestore';
const db = firebase.firestore();
// RIGHT: v9+ modular (tree-shakeable)
import { initializeApp } from 'firebase/app';
import { getFirestore, collection, doc, getDoc } from 'firebase/firestore';
const app = initializeApp(firebaseConfig);
const db = getFirestore(app);
// Get a document
const docRef = doc(db, 'users', 'userId');
const docSnap = await getDoc(docRef);
if (docSnap.exists()) {
console.log(docSnap.data());
}
// Query with constraints
import { query, where, orderBy, limit } from 'firebase/firestore';
const q = query(
collection(db, 'posts'),
where('published', '==', true),
orderBy('createdAt', 'desc'),
limit(10)
);
### Security Rules Design
Secure your data with proper rules from day one
**When to use**: Any Firestore database
# FIRESTORE SECURITY RULES:
"""
Rules are your last line of defense. Every read and write
goes through them. Get them wrong, and your data is exposed.
"""
rules_version = '2';
service cloud.firestore {
match /databases/{database}/documents {
// Helper functions
function isSignedIn() {
return request.auth != null;
}
function isOwner(userId) {
return request.auth.uid == userId;
}
function isAdmin() {
return request.auth.token.admin == true;
}
// Users collection
match /users/{userId} {
// Anyone can read public profile
allow read: if true;
// Only owner can write their own data
allow write: if isOwner(userId);
// Private subcollection
match /private/{document=**} {
allow read, write: if isOwner(userId);
}
}
// Posts collection
match /posts/{postId} {
// Anyone can read published posts
allow read: if resource.data.published == true
|| isOwner(resource.data.authorId);
// Only authenticated users can create
allow create: if isSignedIn()
&& request.resource.data.authorId == request.auth.uid;
// Only author can update/delete
allow update, delete: if isOwner(resource.data.authorId);
}
// Admin-only collection
match /admin/{document=**} {
allow read, write: if isAdmin();
}
}
}
### Data Modeling for Queries
Design Firestore data structure around query patterns
**When to use**: Designing Firestore schema
# FIRESTORE DATA MODELING:
"""
Firestore is NOT relational. You can't JOIN.
Design your data for how you'll QUERY it, not how it relates.
"""
// WRONG: Normalized (SQL thinking)
// users/{userId}
// posts/{postId} with authorId field
// To get "posts by user" - need to query posts collection
// RIGHT: Denormalized for queries
// users/{userId}/posts/{postId} - subcollection
// OR
// posts/{postId} with embedded author data
// Document structure for a post
const post = {
id: 'post123',
title: 'My Post',
content: '...',
// Embed frequently-needed author data
author: {
id: 'user456',
name: 'Jane Doe',
avatarUrl: '...'
},
// Arrays for IN queries (max 30 items for 'in')
tags: ['javascript', 'firebase'],
// Maps for compound queries
stats: {
likes: 42,
comments: 7,
views: 1000
},
// Timestamps
createdAt: serverTimestamp(),
updatedAt: serverTimestamp(),
// Booleans for filtering
published: true,
featured: false
};
// Query patterns this enables:
// - Get post with author info: 1 read (no join needed)
// - Posts by tag: where('tags', 'array-contains', 'javascript')
// - Featured posts: where('featured', '==', true)
// - Recent posts: orderBy('createdAt', 'desc')
// When author updates their name, update all their posts
// This is the tradeoff: writes are more complex, reads are fast
### Real-time Listeners
Subscribe to data changes with proper cleanup
**When to use**: Real-time features
# REAL-TIME LISTENERS:
"""
onSnapshot creates a persistent connection. Always unsubscribe
when component unmounts to prevent memory leaks and extra reads.
"""
// React hook for real-time document
function useDocument(path) {
const [data, setData] = useState(null);
const [loading, setLoading] = useState(true);
const [error, setError] = useState(null);
useEffect(() => {
const docRef = doc(db, path);
// Subscribe to document
const unsubscribe = onSnapshot(
docRef,
(snapshot) => {
if (snapshot.exists()) {
setData({ id: snapshot.id, ...snapshot.data() });
} else {
setData(null);
}
setLoading(false);
},
(err) => {
setError(err);
setLoading(false);
}
);
// Cleanup on unmount
return () => unsubscribe();
}, [path]);
return { data, loading, error };
}
// Usage
function UserProfile({ userId }) {
const { data: user, loading } = useDocument(`users/${userId}`);
if (loading) return <Spinner />;
return <div>{user?.name}</div>;
}
// Collection with query
function usePosts(limit = 10) {
const [posts, setPosts] = useState([]);
useEffect(() => {
const q = query(
collection(db, 'posts'),
where('published', '==', true),
orderBy('createdAt', 'desc'),
limit(limit)
);
const unsubscribe = onSnapshot(q, (snapshot) => {
const results = snapshot.docs.map(doc => ({
id: doc.id,
...doc.data()
}));
setPosts(results);
});
return () => unsubscribe();
}, [limit]);
return posts;
}
### Cloud Functions Patterns
Server-side logic with Cloud Functions v2
**When to use**: Backend logic, triggers, scheduled tasks
# CLOUD FUNCTIONS V2:
"""
Cloud Functions run server-side code triggered by events.
V2 uses more standard Node.js patterns and better scaling.
"""
import { onRequest } from 'firebase-functions/v2/https';
import { onDocumentCreated } from 'firebase-functions/v2/firestore';
import { onSchedule } from 'firebase-functions/v2/scheduler';
import { getFirestore } from 'firebase-admin/firestore';
import { initializeApp } from 'firebase-admin/app';
initializeApp();
const db = getFirestore();
// HTTP function
export const api = onRequest(
{ cors: true, region: 'us-central1' },
async (req, res) => {
// Verify auth token
const token = req.headers.authorization?.split('Bearer ')[1];
if (!token) {
res.status(401).json({ error: 'Unauthorized' });
return;
}
try {
const decoded = await getAuth().verifyIdToken(token);
// Process request with decoded.uid
res.json({ userId: decoded.uid });
} catch (error) {
res.status(401).json({ error: 'Invalid token' });
}
}
);
// Firestore trigger - on document create
export const onUserCreated = onDocumentCreated(
'users/{userId}',
async (event) => {
const snapshot = event.data;
const userId = event.params.userId;
if (!snapshot) return;
const userData = snapshot.data();
// Send welcome email, create related documents, etc.
await db.collection('notifications').add({
userId,
type: 'welcome',
message: `Welcome, ${userData.name}!`,
createdAt: FieldValue.serverTimestamp()
});
}
);
// Scheduled function (every day at midnight)
export const dailyCleanup = onSchedule(
{ schedule: '0 0 * * *', timeZone: 'UTC' },
async (event) => {
const cutoff = new Date();
cutoff.setDate(cutoff.getDate() - 30);
// Delete old documents
const oldDocs = await db.collection('logs')
.where('createdAt', '<', cutoff)
.limit(500)
.get();
const batch = db.batch();
oldDocs.docs.forEach(doc => batch.delete(doc.ref));
await batch.commit();
console.log(`Deleted ${oldDocs.size} old logs`);
}
);
### Batch Operations
Atomic writes and transactions for consistency
**When to use**: Multiple document updates that must succeed together
# BATCH WRITES AND TRANSACTIONS:
"""
Batches: Multiple writes that all succeed or all fail.
Transactions: Read-then-write operations with consistency.
Max 500 operations per batch/transaction.
"""
import {
writeBatch, runTransaction, doc, getDoc,
increment, serverTimestamp
} from 'firebase/firestore';
// Batch write - no reads, just writes
async function createPostWithTags(post, tags) {
const batch = writeBatch(db);
// Create post
const postRef = doc(collection(db, 'posts'));
batch.set(postRef, {
...post,
createdAt: serverTimestamp()
});
// Update tag counts
for (const tag of tags) {
const tagRef = doc(db, 'tags', tag);
batch.set(tagRef, {
count: increment(1),
lastUsed: serverTimestamp()
}, { merge: true });
}
await batch.commit();
return postRef.id;
}
// Transaction - read and write atomically
async function likePost(postId, userId) {
return 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');
}
// Increment like count and add like document
transaction.update(postRef, {
likeCount: increment(1)
});
transaction.set(likeRef, {
userId,
createdAt: serverTimestamp()
});
return postSnap.data().likeCount + 1;
});
}
### Social Login (Google, GitHub, etc.)
OAuth provider setup and authentication flows
**When to use**: Social login implementation
# SOCIAL LOGIN WITH FIREBASE AUTH
import {
getAuth, signInWithPopup, signInWithRedirect,
GoogleAuthProvider, GithubAuthProvider, OAuthProvider
} from "firebase/auth";
const auth = getAuth();
// GOOGLE
const googleProvider = new GoogleAuthProvider();
googleProvider.addScope("email");
googleProvider.setCustomParameters({ prompt: "select_account" });
async function signInWithGoogle() {
try {
const result = await signInWithPopup(auth, googleProvider);
return result.user;
} catch (error) {
if (error.code === "auth/account-exists-with-different-credential") {
return handleAccountConflict(error);
}
throw error;
}
}
// GITHUB
const githubProvider = new GithubAuthProvider();
githubProvider.addScope("read:user");
// APPLE (Required for iOS apps!)
const appleProvider = new OAuthProvider("apple.com");
appleProvider.addScope("email");
appleProvider.addScope("name");
### Popup vs Redirect Auth
When to use popup vs redirect for OAuth
**When to use**: Choosing authentication flow
# Popup: Desktop, SPA (simpler, can be blocked)
# Redirect: Mobile, iOS Safari (always works)
async function signIn(provider) {
if (/iPhone|iPad|Android/i.test(navigator.userAgent)) {
return signInWithRedirect(auth, provider);
}
try {
return await signInWithPopup(auth, provider);
} catch (e) {
if (e.code === "auth/popup-blocked") {
return signInWithRedirect(auth, provider);
}
throw e;
}
}
// Check redirect result on page load
useEffect(() => {
getRedirectResult(auth).then(r => r && setUser(r.user));
}, []);
### Account Linking
Link multiple providers to one account
**When to use**: User has accounts with different providers
import { fetchSignInMethodsForEmail, linkWithCredential } from "firebase/auth";
async function handleAccountConflict(error) {
const email = error.customData?.email;
const pendingCred = OAuthProvider.credentialFromError(error);
const methods = await fetchSignInMethodsForEmail(auth, email);
if (methods.includes("google.com")) {
alert("Sign in with Google to link accounts");
const result = await signInWithPopup(auth, new GoogleAuthProvider());
await linkWithCredential(result.user, pendingCred);
return result.user;
}
}
// Link new provider
await linkWithPopup(auth.currentUser, new GithubAuthProvider());
// Unlink provider (keep at least one!)
await unlink(auth.currentUser, "github.com");
### Auth State Persistence
Control session lifetime
**When to use**: Managing user sessions
import { setPersistence, browserLocalPersistence, browserSessionPersistence } from "firebase/auth";
// LOCAL: survives browser close (default)
// SESSION: cleared on tab close
async function signInWithRememberMe(email, pass, remember) {
await setPersistence(auth, remember ? browserLocalPersistence : browserSessionPersistence);
return signInWithEmailAndPassword(auth, email, pass);
}
// React auth hook
function useAuth() {
const [user, setUser] = useState(null);
const [loading, setLoading] = useState(true);
useEffect(() => onAuthStateChanged(auth, u => { setUser(u); setLoading(false); }), []);
return { user, loading };
}
### Email Verification and Password Reset
Complete email auth flow
**When to use**: Email/password authentication
import { sendEmailVerification, sendPasswordResetEmail, reauthenticateWithCredential } from "firebase/auth";
// Sign up with verification
async function signUp(email, password) {
const result = await createUserWithEmailAndPassword(auth, email, password);
await sendEmailVerification(result.user);
return result.user;
}
// Password reset
await sendPasswordResetEmail(auth, email);
// Change password (requires recent auth)
const cred = EmailAuthProvider.credential(user.email, currentPass);
await reauthenticateWithCredential(user, cred);
await updatePassword(user, newPass);
### Token Management for APIs
Handle ID tokens for backend calls
**When to use**: Authenticating with backend APIs
import { getIdToken, onIdTokenChanged } from "firebase/auth";
// Get token (auto-refreshes if expired)
const token = await getIdToken(auth.currentUser);
// API helper with auto-retry
async function apiCall(url, opts = {}) {
const token = await getIdToken(auth.currentUser);
const res = await fetch(url, {
...opts,
headers: { ...opts.headers, Authorization: "Bearer " + token }
});
if (res.status === 401) {
const newToken = await getIdToken(auth.currentUser, true);
return fetch(url, { ...opts, headers: { ...opts.headers, Authorization: "Bearer " + newToken }});
}
return res;
}
// Sync to cookie for SSR
onIdTokenChanged(auth, async u => {
document.cookie = u ? "__session=" + await u.getIdToken() : "__session=; max-age=0";
});
// Check admin claim
const { claims } = await auth.currentUser.getIdTokenResult();
const isAdmin = claims.admin === true;
## Collaboration
### Delegation Triggers
- user needs complex OAuth flow -> authentication-oauth (Firebase Auth handles basics, complex flows need OAuth skill)
- user needs payment integration -> stripe (Firebase + Stripe common pattern)
- user needs email functionality -> email (Firebase doesn't include email - use SendGrid, Resend, etc.)
- user needs container deployment -> devops (Beyond Firebase Hosting - Kubernetes, Docker)
- user needs relational data model -> postgres-wizard (Firestore is wrong choice for highly relational data)
- user needs full-text search -> elasticsearch-search (Firestore doesn't support full-text search - use Algolia/Elastic)
## Related Skills
Works well with: `nextjs-app-router`, `react-patterns`, `authentication-oauth`, `stripe`
## When to Use
- User mentions or implies: firebase
- User mentions or implies: firestore
- User mentions or implies: firebase auth
- User mentions or implies: cloud functions
- User mentions or implies: firebase storage
- User mentions or implies: realtime database
- User mentions or implies: firebase hosting
- User mentions or implies: firebase emulator
- User mentions or implies: security rules
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