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Firebase Skill for Cursor

Use when building on Firebase — Firestore data modeling, Security Rules, Auth and custom claims, Cloud Functions, Storage, modular Web/Admin SDK imports — including symptoms like a database open to the internet, a query rejected by rules, or a doc stuck at ~1 write/sec. NOT managed-Postgres BaaS with SQL and RLS (that is supabase).

9k tokens
context cost
the whole folder, loaded on every use
7
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
105
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/ericrisco/rsc-harness --skill firebase

What comes with it

22 524 bytes besides the instruction
evals/README.md
evals/cases.yaml
references/cloud-functions.md
references/data-modeling.md
references/security-rules.md
scripts/verify.sh

What it tells the agent to use

found in the instruction text
Read reads your files

The instruction itself

9 sections, as written by the author

Firebase — Firestore, Rules, Auth, Functions, Storage

The Firebase product surface that sits on top of GCP, on the modular Web SDK (v12) and the Admin SDK.

The whole skill exists to stop two failure modes: dragging relational/SQL habits into a NoSQL

document store, and leaving the database open to the internet.

Two facts drive everything below:

  • It is a NoSQL document store, shaped for the read path. No joins, no server-side OR across

different fields without a composite index, no SELECT * across collections. Denormalize and

fan-out so a screen is one cheap query — reads are what you pay for and what users wait on.

  • Rules ARE the access control. Firestore is reachable directly from untrusted clients. There is

no app server in the trust path by default — firestore.rules (CEL) is the only thing between a

browser and your data. App Check attests the request even came from your app before Rules evaluate.

Not this skill:

| Instead of Firebase | Go to |

|---|---|

| Relational schema, SQL, EXPLAIN, indexing a SQL engine | ../postgresdb/SKILL.md |

| Managed Postgres BaaS (SQL + Postgres RLS + PostgREST) — the most-confused sibling: same "backend-as-a-service" shape, completely different data model and rules language | supabase |

| AWS document/key-value store with its own capacity model | dynamodb |

| Self-hosted Mongo document modeling | mongodb |

| Generic GCP project/IAM/billing not specific to a Firebase product | gcp-essentials |

| React/Next.js component or rendering work that merely calls Firebase | react / ../nextjs/SKILL.md |

Data modeling

Firestore charges and waits on reads. Model so the common screen is one query against one collection.

Collection vs subcollection vs root + denormalized field — decide by access pattern:

| Shape | Use when | Why |

|---|---|---|

| Subcollection (rooms/{id}/messages) | Child list is only ever read inside its parent, can grow unbounded | Subcollections don't bloat the parent doc; deleting a parent does NOT delete them (handle that) |

| Separate root collection + foreign id | Child must be queried across all parents (collection-group query) | A collectionGroup('messages') query needs the docs in same-named subcollections OR a root collection |

| Denormalized field on the parent | A few values are shown alongside the parent and rarely change | Avoids a second read; you accept writing the copy on every change |

Hard limits — design around them, don't discover them in prod:

  • A document maxes out at 1 MiB (1,048,576 bytes). Don't accumulate an unbounded array (chat

messages, audit log) inside one doc — it will hit the wall and every read pays for the whole blob.

Use a subcollection.

  • A single document tolerates only ~1 sustained write/sec. Monotonic IDs and indexed sequential

timestamps create a hotspot on one index range. Use scattered auto-IDs (doc(collection(db,'x'))),

and for high-frequency counters use a sharded counter (N shard docs, sum on read).

Query reality: no joins; range/inequality filters on a field plus an orderBy on another field

require a composite index; in / array-contains-any are capped (~30 values). If a query needs

an index, declare it in firestore.indexes.json — see the emulator gotcha below.

// Bad — unbounded array inside one doc; hits 1 MiB, every read pays for all of it
await setDoc(doc(db, "rooms", roomId), { messages: [...allMessages, newMsg] });

// Good — one doc per message in a subcollection, scattered auto-ID, no hotspot
await addDoc(collection(db, "rooms", roomId, "messages"), {
  text, authorId, createdAt: serverTimestamp(),
});

Denormalization recipes, counter sharding, cursor pagination, getCountFromServer, collection-group

queries, and composite-index design live in references/data-modeling.md.

Security Rules — the load-bearing section

Rules are NOT filters. A query is rejected outright unless the rules can guarantee *every* matched

document is readable — Firestore will not silently drop the docs you can't see. So a list rule and

the query that runs against it must agree: if the rule allows reading only your own docs, the query

must itself be constrained (where("ownerId","==",uid)), or the whole query fails.

// Bad — the entire database is readable AND writable by anyone on the internet
rules_version = '2';
service cloud.firestore {
  match /databases/{database}/documents {
    match /{document=**} { allow read, write: if true; }
  }
}

// Good — default-deny, ownership-scoped, with create-time validation
rules_version = '2';
service cloud.firestore {
  match /databases/{database}/documents {
    match /posts/{postId} {
      allow get:    if resource.data.ownerId == request.auth.uid;
      allow list:   if request.auth != null;            // query MUST add where(ownerId == uid)
      allow create: if request.auth.uid == request.resource.data.ownerId;
      allow update, delete: if resource.data.ownerId == request.auth.uid;
    }
    // everything else: no rule = denied
  }
}

Rules to internalize:

  • Default-deny. No matching allow = denied. Never add a /{document=**} catch-all with

if true. That single line is the "open to the internet" headline risk.

  • request.auth is the authenticated identity (null when signed out); request.auth.token

carries custom claims for RBAC (e.g. request.auth.token.admin == true).

  • resource.data is the existing doc; request.resource.data is the incoming write. Validate

the incoming write on create/update (types, immutable ownerId, no privilege escalation).

  • get() / exists() read another doc for cross-document checks (e.g. role lookup) — each costs

a billed read and counts against rule-evaluation limits, so keep them shallow.

  • get vs list are distinct: a single-doc read vs a query. read = both; split them so a

query can't leak documents a single get would also have blocked.

Set custom claims with the Admin SDK, never from the client. Add App Check in production so Rules

only run for requests that provably came from your real app.

Full CEL patterns — RBAC via claims, ownership, validation functions, time-based throttling, and the

complete @firebase/rules-unit-testing recipe — are in references/security-rules.md.

Auth

  • Client sign-in with getAuth() + a provider; the SDK manages the refresh of the ID token.
  • Server-side, verify the ID token with getAuth(adminApp).verifyIdToken(idToken) before trusting

any caller. A raw UID from the client is not proof of anything.

  • Custom claims for RBAC: getAuth(adminApp).setCustomUserClaims(uid, { admin: true }). Claims

land in request.auth.token in Rules and in the decoded token on the server. They refresh on the

client's next token refresh, not instantly — force a refresh if you need it immediately.

  • Session cookies (createSessionCookie) suit SSR / server-rendered apps where you want an

httpOnly cookie instead of shipping the ID token to every request — pairs with ../nextjs/SKILL.md.

Cloud Functions (2nd gen)

2nd gen is the default and the only generation that runs Node.js 22. Use firebase-functions v7

modular triggers and firebase-admin.

import { onDocumentWritten } from "firebase-functions/v2/firestore";
import { onCall, HttpsError } from "firebase-functions/v2/https";
import { defineSecret } from "firebase-functions/params";

const STRIPE_KEY = defineSecret("STRIPE_KEY"); // never hard-code secrets

export const onPostWrite = onDocumentWritten(
  { document: "posts/{postId}", region: "europe-west1" },
  async (event) => {
    // Background events deliver AT-LEAST-ONCE — make this idempotent.
    const eventId = event.id; // dedupe on this (e.g. a processed/{eventId} marker doc)
  }
);

export const setAdminClaim = onCall(async (request) => {
  if (request.auth?.token.admin !== true) throw new HttpsError("permission-denied", "admins only");
  // ... verify, then setCustomUserClaims via admin SDK
});
  • Callable (onCall) gives you request.auth already verified; raw onRequest HTTPS does not

— you must verify the ID token yourself.

  • Idempotency is mandatory for background triggers (onDocumentWritten etc.): events can fire more

than once, so guard side effects with the event id.

  • Pin region, set secrets with defineSecret (not env literals), and tune concurrency for cost.
  • Functions require the Blaze plan; outbound networking from a function also requires Blaze.

Trigger catalogue, callable-vs-HTTPS auth, idempotency keys, cold-start/cost, Auth blocking functions,

and region pinning are in references/cloud-functions.md.

Cloud Storage

Storage paths are gated by their own Rules; clients can hit them directly.

// Bad — any signed-in user can overwrite any other user's avatar
match /avatars/{fileName} { allow write: if request.auth != null; }

// Good — path-scoped to the owner, with a size/type guard
match /avatars/{uid}/{fileName} {
  allow read:  if true;                          // public avatars
  allow write: if request.auth.uid == uid
               && request.resource.size < 5 * 1024 * 1024
               && request.resource.contentType.matches('image/.*');
}

For server-issued time-limited access (private downloads), generate a signed URL from the Admin

SDK rather than loosening the Rules.

SDK & project mechanics

Use the modular SDK so the bundler tree-shakes unused Firebase code. The old namespaced

firebase.firestore() API is gone in v9+.

// Bad — pulls the entire SDK; defeats tree-shaking (and the compat/namespaced API is legacy)
import firebase from "firebase";
firebase.firestore().collection("posts").get();

// Good — named imports, only what you use ships (Web SDK v12)
import { initializeApp } from "firebase/app";
import { getFirestore, collection, getDocs } from "firebase/firestore";
const db = getFirestore(initializeApp(config));
const snap = await getDocs(collection(db, "posts"));
  • firebase.json configures emulators, rules/index file paths, and hosting; firestore.indexes.json

declares composite indexes.

  • Run the Local Emulator Suite (firebase emulators:start) for local dev and tests.
  • Emulator gotcha: the Firestore emulator does NOT enforce composite indexes — it runs any valid

query. So "works in the emulator, fails in prod with *requires an index*" is expected. Verify index

coverage separately by keeping firestore.indexes.json in sync and deploying it.

  • The Firebase API key in client config is not a secret (it identifies the project, not authorizes

access — Rules + App Check do that). Service-account JSON keys ARE secrets; keep them server-side.

Anti-patterns

| Anti-pattern | Why it's wrong | Do instead |

|---|---|---|

| allow read, write: if true; catch-all | Whole DB is open to the internet | Default-deny; scope each match to request.auth + ownership |

| Treating rules as query filters | Query is rejected, not filtered — it fails entirely | Constrain the query to match what list allows |

| Unbounded array in one document | Hits the 1 MiB limit; every read pays for the whole blob | Subcollection, one doc per item |

| Monotonic IDs / sequential indexed timestamps | Index hotspot → ~1 write/sec/doc wall | Scattered auto-IDs; sharded counters for high write rate |

| Trusting client writes for sensitive fields | Client can set role: "admin" on itself | Validate request.resource in Rules; set claims via Admin SDK only |

| No App Check in production | Rules run for any caller, including scripts/scrapers | Enable App Check (reCAPTCHA / Play Integrity / App Attest) |

| Service-account key in client / repo | Full admin access leaks | Keep service-account JSON server-side; client API key is fine |

| Namespaced/compat SDK (firebase.firestore()) | Legacy, not tree-shakeable, gone in modular | Modular named imports from firebase/firestore |

| No emulator / rules tests | Open or broken rules ship silently | @firebase/rules-unit-testing via firebase emulators:exec |

| Background trigger with non-idempotent side effects | At-least-once delivery double-charges/double-writes | Dedupe on event.id |

Verify

scripts/verify.sh is read-only and runs from your project root. It locates firestore.rules and

fails if a root match /{document=**} carries an allow read, write: if true; catch-all or the rules

file is empty; validates firestore.indexes.json parses as JSON; and, when the Firebase CLI is

present, points at the firebase emulators:exec rules-test path. It exits 0 and skips cleanly when no

Firebase artifacts are in the working directory — not every repo has them.

How to use it

Copy the folder

Take ericrisco/firebase from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.