NoSQL document database with real-time sync, offline persistence, and security rules.
Works with
Supports both Client SDK (authenticated users) and Admin SDK (server-side, bypasses rules) with modular v9+ API for CRUD, queries, transactions, and batch operations
Real-time listeners via onSnapshot() for documents and collections; requires manual unsubscribe to prevent memory leaks and connection limits
Compound queries with multiple filters, range queries, array operations, and pagination via cu
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfirebase-firestoreExecute the skills CLI command in your project's root directory to begin installation:
Fetches firebase-firestore from jezweb/claude-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate firebase-firestore. Access via /firebase-firestore in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Status: Production Ready Last Updated: 2026-01-25 Dependencies: None (standalone skill) Latest Versions: [email protected], [email protected]
# Client SDK (web/mobile)
npm install firebase
# Admin SDK (server/backend)
npm install firebase-admin
// src/lib/firebase.ts
import { initializeApp } from 'firebase/app';
import { getFirestore } from 'firebase/firestore';
const firebaseConfig = {
apiKey: process.env.FIREBASE_API_KEY,
authDomain: process.env.FIREBASE_AUTH_DOMAIN,
projectId: process.env.FIREBASE_PROJECT_ID,
storageBucket: process.env.FIREBASE_STORAGE_BUCKET,
messagingSenderId: process.env.FIREBASE_MESSAGING_SENDER_ID,
appId: process.env.FIREBASE_APP_ID,
};
const app = initializeApp(firebaseConfig);
export const db = getFirestore(app);
// src/lib/firebase-admin.ts
import { initializeApp, cert, getApps } from 'firebase-admin/app';
import { getFirestore } from 'firebase-admin/firestore';
// Initialize only once
if (!getApps().length) {
initializeApp({
credential: cert({
projectId: process.env.FIREBASE_PROJECT_ID,
clientEmail: process.env.FIREBASE_CLIENT_EMAIL,
// Replace escaped newlines in private key
privateKey: process.env.FIREBASE_PRIVATE_KEY?.replace(/\\n/g, '\n'),
}),
});
}
export const adminDb = getFirestore();
CRITICAL:
FIREBASE_PRIVATE_KEY in client codeimport {
collection,
doc,
addDoc,
getDoc,
getDocs,
setDoc,
updateDoc,
deleteDoc,
query,
where,
orderBy,
limit,
serverTimestamp,
Timestamp,
} from 'firebase/firestore';
import { db } from './firebase';
// CREATE - Auto-generated ID
const docRef = await addDoc(collection(db, 'users'), {
name: 'John Doe',
email: '[email protected]',
createdAt: serverTimestamp(),
});
console.log('Created document with ID:', docRef.id);
// CREATE - Specific ID
await setDoc(doc(db, 'users', 'user-123'), {
name: 'Jane Doe',
email: '[email protected]',
createdAt: serverTimestamp(),
});
// READ - Single document
const docSnap = await getDoc(doc(db, 'users', 'user-123'));
if (docSnap.exists()) {
console.log('Document data:', docSnap.data());
} else {
console.log('No such document!');
}
// READ - Collection with query
const q = query(
collection(db, 'users'),
where('email', '==', '[email protected]'),
orderBy('createdAt', 'desc'),
limit(10)
);
const querySnapshot = await getDocs(q);
querySnapshot.forEach((doc) => {
console.log(doc.id, ' => ', doc.data());
});
// UPDATE - Merge fields (doesn't overwrite entire document)
await updateDoc(doc(db, 'users', 'user-123'), {
name: 'Jane Smith',
updatedAt: serverTimestamp(),
});
// UPDATE - Set with merge (creates if doesn't exist)
await setDoc(doc(db, 'users', 'user-123'), {
lastLogin: serverTimestamp(),
}, { merge: true });
// DELETE
await deleteDoc(doc(db, 'users', 'user-123'));
import { adminDb } from './firebase-admin';
import { FieldValue, Timestamp } from 'firebase-admin/firestore';
// CREATE
const docRef = await adminDb.collection('users').add({
name: 'John Doe',
createdAt: FieldValue.serverTimestamp(),
✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.7★★★★★27 reviews- VValentina Gonzalez★★★★★Dec 28, 2024
I recommend firebase-firestore for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- GGanesh Mohane★★★★★Dec 12, 2024
Solid pick for teams standardizing on skills: firebase-firestore is focused, and the summary matches what you get after install.
- SSophia Haddad★★★★★Nov 19, 2024
Keeps context tight: firebase-firestore is the kind of skill you can hand to a new teammate without a long onboarding doc.
- SSakshi Patil★★★★★Nov 3, 2024
We added firebase-firestore from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- CChaitanya Patil★★★★★Oct 22, 2024
firebase-firestore fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- LLuis Nasser★★★★★Oct 10, 2024
firebase-firestore is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- RRahul Santra★★★★★Sep 13, 2024
I recommend firebase-firestore for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- BBenjamin Menon★★★★★Sep 13, 2024
firebase-firestore has been reliable in day-to-day use. Documentation quality is above average for community skills.
- PPratham Ware★★★★★Aug 4, 2024
Useful defaults in firebase-firestore — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAnaya Torres★★★★★Aug 4, 2024
Solid pick for teams standardizing on skills: firebase-firestore is focused, and the summary matches what you get after install.
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