New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Firebase Vertex AI

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Execute firebase platform expert with Vertex AI Gemini integration for Authentication, Firestore, Storage, Functions, Hosting, and AI-powered features.

MITAuto-check passedBackend & APIs

Install Firebase Vertex AI

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill firebase-vertex-ai -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace firebase-vertex-ai --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/firebase-vertex-ai .claude/skills/firebase-vertex-ai && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
firebase-vertex-ai
GitHub stars
2.8k
Token cost
~831 tokens
SKILL.md length
326 words
Files
7 (incl. scripts, references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Execute firebase platform expert with Vertex AI Gemini integration for Authentication, Firestore, Storage, Functions, Hosting, and AI-powered features.

  • Works in 5 steps: Initialize Firebase (or validate an… → Implement backend integration → Configure data and security → …
  • Asked to setup firebase
  • SKILL.md covers Overview, Prerequisites, Instructions and Output, plus 3 more sections
  • Runs Shell scripts from its folder

What it does

Firebase Vertex AI is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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.

Its SKILL.md is about 830 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `ARD.md`, `PRD.md` and `references/errors.md`). Compatibility notes: Designed for Claude Code

It sits in Backend & APIs. It works with Firebase, Vertex AI and Cloud Firestore. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to setup firebase
  • Deploy to firebase
  • Integrate vertex ai with firebase
  • With relevant phrases based on skill purpose

Example prompts

  • “setup firebase”
  • “deploy to firebase”
  • “integrate vertex ai with firebase”
  • “/firebase-vertex-ai”

Requirements

  • Node.js
  • A Bash shell
  • Compatibility (from SKILL.md): Designed for Claude Code
  • Pre-approved tools (allowed-tools): Read, Write, Edit, Grep, Glob, Bash(cmd:*)

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Initialize Firebase (or validate an existing repo): Hosting/Functions/Firestore as required.
  2. Implement backend integration
  3. Configure data and security
  4. Deploy and verify
  5. Add ops guardrails

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Write
    • Edit
    • Grep
    • Glob
    • Bash(cmd:*)

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • firebase.google.com
    • cloud.google.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code

    From compatibility in the SKILL.md frontmatter.

Context cost

Firebase Vertex AI loads about 831 tokens when it runs, and up to ~6.5k if it reads all its reference files. Until then it costs about 81 tokens; SKILL.md has 326 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~81
When it runs · the whole SKILL.md, loaded when a task matches
~831
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6.5k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 326 words, ~831 tokens.

Download SKILL.mdSave it as .claude/skills/firebase-vertex-ai/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.
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.
allowed-tools
Read, Write, Edit, Grep, Glob, Bash(cmd:*)
compatibility
Designed for Claude Code
version
2.23.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
community, deployment, authentication

Firebase Vertex AI

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

  1. Initialize Firebase (or validate an existing repo): Hosting/Functions/Firestore as required.
  2. Implement backend integration:
    • add a Cloud Function/HTTP endpoint that calls Gemini/Vertex AI
    • validate inputs and return structured responses
  3. Configure data and security:
    • Firestore rules + indexes
    • Storage rules (if applicable)
    • Auth providers and authorization checks
  4. Deploy and verify:
    • deploy Functions/Hosting
    • run smoke tests against deployed endpoints
  5. 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

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 6 other files (scripts, references) in skills/.curated/firebase-vertex-ai of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • ARD.md
  • PRD.md
  • references/errors.md
  • references/examples.md
  • references/implementation.md
  • scripts/init-firebase.sh

Open the folder on GitHubat commit cfae287

Compare with similar skills

Firebase Vertex AI next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Firebase Vertex AI compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Firebase Vertex AI this skilljeremylongshore/tons-of-skills-marketplace2.8k—~831Automated safety check: PassMIT
Firebase App Platformsickn33/agentic-awesome-skills47k2 repos~2.6kAutomated safety check: NotesMIT
Firebasedavila7/claude-code-templates33k2 repos~445Automated safety check: PassMIT
Firebaseaiskillstore/marketplace4333 repos~4.7kAutomated safety check: PassNone
Firebase Developmentaiskillstore/marketplace4331 repos~1.6kAutomated safety check: PassNone
Firebasealinaqi/maggy707—~4.6kAutomated safety check: PassMIT

Similar skills

  • Firebase App Platform

    sickn33/agentic-awesome-skills

    Build and operate apps on Firebase using Auth, Firestore, Cloud Functions, and Hosting.

    47k GitHub starsUsed in 2 repos~2.6k tokens
    Backend & APIsAuto-check: notes

  • Firebase

    davila7/claude-code-templates

    Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting.

    33k GitHub starsUsed in 2 repos~445 tokens
    Backend & APIsAuto-check passed

  • Firebase

    aiskillstore/marketplace

    Firebase gives you a complete backend in minutes - auth, database, storage, functions, hosting.

    433 GitHub starsUsed in 3 repos~4.7k tokens
    Backend & APIsAuto-check passed

  • Firebase Development

    aiskillstore/marketplace

    This skill should be used when working with Firebase projects, including initializing projects, adding Cloud Functions or Firestore collections, debugging emulator issues, or reviewing Firebase code.

    433 GitHub starsUsed in 1 repo~1.6k tokens
    Backend & APIsAuto-check passed

  • Firebase

    alinaqi/maggy

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

    707 GitHub stars~4.6k tokensUpdated 17 days ago
    DatabasesAuto-check passed

  • Exposed Migration

    GerardPaligot/Confily

    A skill your agent uses when adding, removing, or modifying columns, indexes, or tables in any Exposed table object (files under infrastructure/exposed/ ending in Table.kt).

    152 GitHub stars~1.3k tokensUpdated 14 days ago
    MobileAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo

  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes

  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated today
    Auto-check passed

  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated today
    Auto-check passed

  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated today
    Auto-check passed

  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated today
    Auto-check passed

Works with

Categories

Questions about Firebase Vertex AI

What does Firebase Vertex AI do?

Execute firebase platform expert with Vertex AI Gemini integration for Authentication, Firestore, Storage, Functions, Hosting, and AI-powered features. Firebase Vertex AI is an agent skill from jeremylongshore/tons-of-skills-marketplace. Execute firebase platform expert with Vertex AI Gemini integration for Authentication, Firestore, Storage, Functions, Hosting, and AI-powered features.

When should I use Firebase Vertex AI?

Firebase Vertex AI fits situations like: asked to setup firebase; deploy to firebase; integrate vertex ai with firebase; with relevant phrases based on skill purpose.

How do I install Firebase Vertex AI in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill firebase-vertex-ai -a claude-code`. Or copy the skill folder (skills/.curated/firebase-vertex-ai in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/firebase-vertex-ai in your project. Claude Code loads it when a task matches its description.

How do I install Firebase Vertex AI in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill firebase-vertex-ai -a codex`. Or copy the skill folder (skills/.curated/firebase-vertex-ai in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/firebase-vertex-ai in your project. Codex loads it when a task matches its description.

Can I use Firebase Vertex AI in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill firebase-vertex-ai -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/firebase-vertex-ai, .gemini/skills/firebase-vertex-ai, .github/skills/firebase-vertex-ai and .opencode/skills/firebase-vertex-ai in your project.

What does Firebase Vertex AI need to run?

Going by SKILL.md and its folder, Firebase Vertex AI needs a shell for the scripts in its folder. Our summary lists: Node.js; A Bash shell. Its frontmatter pre-approves these tools: Read, Write, Edit, Grep, Glob, Bash(cmd:*). Compatibility (from SKILL.md): Designed for Claude Code.

Does Firebase Vertex AI access the network?

SKILL.md names 2 domains. As links in the text: firebase.google.com and cloud.google.com. This is read from the text; nothing was executed.

Is Firebase Vertex AI safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Firebase Vertex AI use?

Firebase Vertex AI is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Firebase Vertex AI use?

About 831 tokens (SKILL.md is roughly 3.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.

What are the alternatives to Firebase Vertex AI?

Skills that share tags, products or a category with Firebase Vertex AI: Firebase App Platform (sickn33/agentic-awesome-skills, 47k stars), Firebase (davila7/claude-code-templates, 33k stars), Firebase (aiskillstore/marketplace, 433 stars) and Firebase Development (aiskillstore/marketplace, 433 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Firebase Vertex AI?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.