About

Imported from jeremylongshore/tons-of-skills-marketplace (skills/.curated/firebase-vertex-ai/SKILL.md). Install upstream with npx skills add jeremylongshore/tons-of-skills-marketplace --skill firebase-vertex-ai. Copyright stays with the author (MIT).

Firebase Vertex AI

Name: firebase-vertex-ai
Author: jeremylongshore

Operate Firebase projects end-to-end (Auth, Firestore, Functions, Hosting) and integrate Gemini/Vertex AI safely for AI-powered features.

Overview

Use this skill to design, implement, and deploy Firebase applications that call Vertex AI/Gemini from Cloud Functions (or other GCP services) with secure secrets handling, least-privilege IAM, and production-ready observability.

Prerequisites

Node.js runtime and Firebase CLI access for the target project
A Firebase project (billing enabled for Functions/Vertex AI as needed)
Vertex AI API enabled and permissions to call Gemini/Vertex AI from your backend
Secrets managed via env vars or Secret Manager (never in client code)

Instructions

Initialize Firebase (or validate an existing repo): Hosting/Functions/Firestore as required.
Implement backend integration:
- add a Cloud Function/HTTP endpoint that calls Gemini/Vertex AI
- validate inputs and return structured responses
Configure data and security:
- Firestore rules + indexes
- Storage rules (if applicable)
- Auth providers and authorization checks
Deploy and verify:
- deploy Functions/Hosting
- run smoke tests against deployed endpoints
Add ops guardrails:
- logging/metrics
- alerting for error spikes
- basic cost controls (budgets/quotas) where appropriate

Output

A deployable Firebase project structure (configs + Functions/Hosting as needed)
Secure backend code that calls Gemini/Vertex AI (with secrets handled correctly)
Firestore/Storage rules and index guidance
A verification checklist (local + deployed) and CI-ready commands

Error Handling

Auth failures: identify the principal and missing permission/role; fix with least privilege.
Billing/API issues: detect which API or quota is blocking and provide remediation steps.
Firestore rule/index problems: provide minimal repro queries and rule fixes.
Vertex AI call failures: surface model/region mismatches and add retries/backoff for transient errors.

Examples

Example: Gemini-backed chat API on Firebase

Request: “Deploy Hosting + a Function that powers a Gemini chat endpoint.”
Result: /api/chat function, Secret Manager wiring, and smoke tests.

Example: Firestore-powered RAG

Request: “Build a RAG flow that embeds docs and answers with citations.”
Result: ingestion plan, embedding + index strategy, and evaluation prompts.

Resources

Full detailed guide (kept for reference): ${CLAUDE_SKILL_DIR}/references/SKILL.full.md
Firebase docs: https://firebase.google.com/docs
Cloud Functions for Firebase: https://firebase.google.com/docs/functions
Vertex AI docs: https://cloud.google.com/vertex-ai/docs

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml

targets:
  - https://api.opensmartroute.ai/api/v1/registry/jeremylongshore-tons-of-skills-marketplace-firebase-vertex-ai/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

jeremylongshore-tons-of-skills-marketplace-firebase-vertex-ai.ocm.jsonjson

{
  "ocm": "1",
  "id": "jeremylongshore-tons-of-skills-marketplace-firebase-vertex-ai",
  "kind": "skill",
  "name": "firebase-vertex-ai",
  "description": "Execute firebase platform expert with Vertex AI Gemini integration for Authentication, Firestore, Storage, Functions, Hosting, and AI-powered features. Use when asked to \"setup firebase\", \"deploy to firebase\", or \"integrate vertex ai with firebase\". Trigger with relevant phrases based on skill purpose.",
  "publisher": "jeremylongshore",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "community",
      "deployment",
      "authentication",
      "skills-sh"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Execute firebase platform expert with Vertex AI Gemini integration for Authentication, Firestore, Storage, Functions, Hosting, and AI-powered features. Use when asked to \"setup firebase\", \"deploy to firebase\", or \"integrate vertex ai with firebase\". Trigger with relevant phrases based on skill purpose."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "skills.sh",
      "repository": "https://github.com/jeremylongshore/tons-of-skills-marketplace",
      "path": "skills/.curated/firebase-vertex-ai/SKILL.md",
      "ref": "HEAD",
      "url": "https://github.com/jeremylongshore/tons-of-skills-marketplace/blob/HEAD/skills/.curated/firebase-vertex-ai/SKILL.md",
      "key": "jeremylongshore/tons-of-skills-marketplace/skills/.curated/firebase-vertex-ai/SKILL.md"
    },
    "compatibility": "Designed for Claude Code",
    "allowed_tools": [
      "Read,",
      "Write,",
      "Edit,",
      "Grep,",
      "Glob,",
      "Bash(cmd:*)"
    ],
    "license": "MIT"
  },
  "instructions": "# Firebase Vertex AI\n\nOperate Firebase projects end-to-end (Auth, Firestore, Functions, Hosting) and integrate Gemini/Vertex AI safely for AI-powered features.\n\n## Overview\n\nUse this skill to design, implement, and deploy Firebase applications that call Vertex AI/Gemini from Cloud Functions (or other GCP services) with secure secrets handling, least-privilege IAM, and production-ready observability.\n\n## Prerequisites\n\n- Node.js runtime and Firebase CLI access for the target project\n- A Firebase project (billing enabled for Functions/Vertex AI as needed)\n- Vertex AI API enabled and permissions ",
  "cost": {
    "context_tokens": 683
  }
}

Fetch it by URL: GET /api/v1/registry/jeremylongshore-tons-of-skills-marketplace-firebase-vertex-ai/manifest?version=1.0.0

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