How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

Which agent frameworks does firebase-ai-logic support?

firebase-ai-logic works with any agent framework supported by the Skills registry, including Claude Code, Cursor, GitHub Copilot, Cline, Codex, and Gemini CLI.

Is firebase-ai-logic free to use?

Yes. firebase-ai-logic is free to install and use. It is available from the open explainx.ai skill registry published by firebase.

Where can I read ratings and reviews for firebase-ai-logic?

Community ratings and review text appear on this explainx.ai skill page below the description. Reviews use a 1–5 scale and may include short written feedback from signed-in members.

How do I install firebase-ai-logic?

Run `npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic` in your terminal. You need to have run `npx skills init` once in your project first.

AI/ML

firebase-ai-logic▌

firebase/agent-skills · updated Apr 8, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic

0 commentsdiscussion

summary

Client-side Gemini integration for web apps with multimodal inference, streaming, and on-device hybrid execution.

›Supports text-only and multimodal inputs (images, audio, video, PDFs); files over 20 MB route through Cloud Storage
›Includes chat sessions with automatic history, streaming responses for real-time display, and structured JSON output enforcement
›Offers hybrid on-device inference via Gemini Nano in Chrome, with automatic fallback to cloud execution
›Requires App Check for

skill.md

Firebase AI Logic Basics

Overview

Firebase AI Logic is a product of Firebase that allows developers to add gen AI to their mobile and web apps using client-side SDKs. You can call Gemini models directly from your app without managing a dedicated backend. Firebase AI Logic, which was previously known as "Vertex AI for Firebase", represents the evolution of Google's AI integration platform for mobile and web developers.

It supports the two Gemini API providers:

Gemini Developer API: It has a free tier ideal for prototyping, and pay-as-you-go for production
Vertex AI Gemini API: Ideal for scale with enterprise-grade production readiness, requires Blaze plan

Use the Gemini Developer API as a default, and only Vertex AI Gemini API if the application requires it.

Setup & Initialization

Prerequisites

Before starting, ensure you have Node.js 16+ and npm installed. Install them if they aren’t already available.
Identify the platform the user is interested in building on prior to starting: Android, iOS, Flutter or Web.
If their platform is unsupported, Direct the user to Firebase Docs to learn how to set up AI Logic for their application (share this link with the user https://firebase.google.com/docs/ai-logic/get-started)

Installation

The library is part of the standard Firebase Web SDK.

npm install -g firebase@latest

If you're in a firebase directory (with a firebase.json) the currently selected project will be marked with "current" using this command:

npx -y firebase-tools@latest projects:list

Ensure there's at least one app associated with the current project

npx -y firebase-tools@latest apps:list

Initialize AI logic SDK with the init command

npx -y firebase-tools@latest init # Choose AI logic

This will automatically enable the Gemini Developer API in the Firebase console.

More info in Firebase AI Logic Getting Started

Core Capabilities

Text-Only Generation

Multimodal (Text + Images/Audio/Video/PDF input)

Firebase AI Logic allows Gemini models to analyze image files directly from your app. This enables features like creating captions, answering questions about images, detecting objects, and categorizing images. Beyond images, Gemini can analyze other media types like audio, video, and PDFs by passing them as inline data with their MIME type. For files larger than 20 megabytes (which can cause HTTP 413 errors as inline data), store them in Cloud Storage for Firebase and pass their URLs to the Gemini Developer API.

Chat Session (Multi-turn)

Maintain history automatically using startChat.

Streaming Responses

To improve the user experience by showing partial results as they arrive (like a typing effect), use generateContentStream instead of generateContent for faster display of results.

Generate Images with Nano Banana

Start with Gemini for most use cases, and choose Imagen for specialized tasks where image quality and specific styles are critical. (Example: gemini-2.5-flash-image)
Requires an upgraded Blaze pay-as-you-go billing plan.

Search Grounding with the built in googleSearch tool

Supported Platforms and Frameworks

Supported Platforms and Frameworks include Kotlin and Java for Android, Swift for iOS, JavaScript for web apps, Dart for Flutter, and C Sharp for Unity.

Advanced Features

Structured Output (JSON)

Enforce a specific JSON schema for the response.

On-Device AI (Hybrid)

Hybrid on-device inference for web apps, where the Firebase Javascript SDK automatically checks for Gemini Nano's availability (after installation) and switches between on-device or cloud-hosted prompt execution. This requires specific steps to enable model usage in the Chrome browser, more info in the hybrid-on-device-inference documentation.

Security & Production

App Check

Recommended: The developer must enable Firebase App Check to prevent unauthorized clients from using their API quota. see App-check recaptcha enterprise.

Remote Config

Consider that you do not need to hardcode model names (e.g., gemini-flash-lite-latest). Use Firebase Remote Config to update model versions dynamically without deploying new client code. See Changing model names remotely

Initialization Code References

Language, Framework, Platform	Gemini API provider	Context URL
Web Modular API	Gemini Developer API (Developer API)	firebase://docs/ai-logic/get-started

Always use the most recent version of Gemini (gemini-flash-latest) unless another model is requested by the docs or the user. DO NOT USE gemini-1.5-flash

References

Web SDK code examples and usage patterns

how to use firebase-ai-logic

How to use firebase-ai-logic on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your development machine
›Node.js version 16.0+ with npm package manager (verify with node --version)
›Active project directory or workspace where you want to add firebase-ai-logic

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/firebase/agent-skills --skill firebase-ai-logic

The skills CLI fetches firebase-ai-logic from GitHub repository firebase/agent-skills and configures it for Cursor.

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ── always included ────

│ • Amp

│ • Antigravity

│ • Cline

│ • Codex

│ ●Cursor(selected)

│ • Cursor

│ • Windsurf

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/firebase-ai-logic

Reload or restart Cursor to activate firebase-ai-logic. Access the skill through slash commands (e.g., /firebase-ai-logic) or your agent's skill management interface.

⚠

Security & Verification Notice

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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub ›Skills CLI documentation ›Learn more about Cursor ›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases▌

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

✓

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

✓

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

✓

Improve work quality by 30-40% with less effort

Implementation Guide▌

Prerequisites

›Claude Desktop or compatible AI client with skill support
›Clear understanding of task or problem to solve
›Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

1.Install skill using provided installation command
2.Test with simple use case relevant to your work
3.Evaluate output quality and relevance
4.Iterate on prompts to improve results
5.Integrate into regular workflow if valuable

Common Pitfalls

⚠Expecting perfect results without iteration
⚠Not providing enough context in prompts
⚠Using skill for tasks outside its intended scope
⚠Accepting outputs without review and validation

Best Practices▌

✓ Do

+Start with clear, specific prompts
+Provide relevant context and constraints
+Review and refine all outputs before using
+Iterate to improve output quality
+Document successful prompt patterns

✗ Don't

−Don't use without understanding skill limitations
−Don't skip validation of outputs
−Don't share sensitive information in prompts
−Don't expect skill to replace human judgment

💡 Pro Tips

★Be specific about desired format and style
★Ask for multiple options to choose from
★Request explanations to understand reasoning
★Combine AI efficiency with human expertise

When to Use This▌

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path▌

1Familiarize yourself with skill capabilities and limitations
2Start with low-risk, non-critical tasks
3Progress to more complex and valuable use cases
4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)

No comments yet — start the thread.

general reviews

Ratings

4.6★★★★★36 reviews

★★★★★Aisha Smith· Dec 16, 2024
I recommend firebase-ai-logic for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
★★★★★Sakshi Patil· Nov 27, 2024
firebase-ai-logic has been reliable in day-to-day use. Documentation quality is above average for community skills.
★★★★★Hassan Smith· Nov 7, 2024
firebase-ai-logic reduced setup friction for our internal harness; good balance of opinion and flexibility.
★★★★★Evelyn Khan· Nov 3, 2024
firebase-ai-logic has been reliable in day-to-day use. Documentation quality is above average for community skills.
★★★★★Zara Ghosh· Oct 26, 2024
Registry listing for firebase-ai-logic matched our evaluation — installs cleanly and behaves as described in the markdown.
★★★★★Yuki Zhang· Oct 22, 2024
Solid pick for teams standardizing on skills: firebase-ai-logic is focused, and the summary matches what you get after install.
★★★★★Chaitanya Patil· Oct 18, 2024
Solid pick for teams standardizing on skills: firebase-ai-logic is focused, and the summary matches what you get after install.
★★★★★Neel Chen· Sep 17, 2024
Keeps context tight: firebase-ai-logic is the kind of skill you can hand to a new teammate without a long onboarding doc.
★★★★★Yuki Li· Sep 13, 2024
firebase-ai-logic fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
★★★★★Michael Ramirez· Sep 9, 2024
Registry listing for firebase-ai-logic matched our evaluation — installs cleanly and behaves as described in the markdown.

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