# Integrate Firebase AI Logic in Apps

Firebase teams often need safe patterns for adding Gemini features without scattered setup notes. This skill guides Firebase AI Logic setup, SDK usage, prompt handling, and basic security practices.

## Install

```bash
npx skillstore add supercent-io/firebase-ai-logic
```

## Metadata

- Status: approved
- Slug: supercent-io-firebase-ai-logic
- Skillstore revision: r1
- Version status: missing
- Tree hash: 544b1ca263837549f2c5b4dc54b22d68e180bb98c9ad006c7b424bdff46a2080
- Author: supercent-io
- GitHub username: supercent-io
- License: MIT
- Repository: https://github.com/supercent-io/skills-template/tree/main/.agent-skills/firebase-ai-logic/
- Ref: f93e9bb0daca99badb6a7e574b97737155d57cb3
- Supported tools: Claude, Codex, Claude Code
- Audit status: complete
- Agent install advisory: allowed
- Manual install advisory: allowed
- Artifact signature: available
- Audit attestation: unavailable
- Human verification: not\_verified
- Risk factors: external\_commands, network, env\_access
- Quality score: 78
- Quality tier: bronze
- Public page: https://skillstore.pages.dev/skills/supercent-io-firebase-ai-logic
- Manifest: https://skillstore.pages.dev/api/skills/supercent-io-firebase-ai-logic/manifest

## Capabilities

- Guides Firebase project setup and AI Logic console enablement.
- Shows Firebase SDK installation and web initialization patterns.
- Provides examples for text generation, streaming, and image prompts.
- Includes Firestore rules for protecting AI request logs.
- Outlines project structure for AI clients, prompts, and handlers.
- Lists operational practices for errors, rate limits, caching, and keys.

## Use Cases

- Add Gemini Text Features: Build summarization, translation, or content generation into an existing Firebase web app.
- Prototype Multimodal AI: Create a Firebase-backed image analysis flow using Gemini prompts and image input.
- Review AI App Structure: Plan project files, request logging, and basic rules before adding AI features.

## Prompt Templates

### Set Up Firebase AI Logic

```
Use this skill to outline the steps for enabling Firebase AI Logic in my web app. Include SDK setup and required Firebase console actions.
```

### Add Text Generation

```
Use this skill to design a Firebase AI Logic text generation feature. Include prompt handling, error handling, and where files should live.
```

### Implement Streaming Responses

```
Use this skill to add streaming Gemini responses to my Firebase app. Include UI flow, handler responsibilities, and logging considerations.
```

### Audit AI Feature Readiness

```
Use this skill to review my Firebase AI Logic plan for security, rate limits, sensitive data handling, caching, and deployment readiness.
```

## Limitations

- It does not provide a complete production application.
- Examples require your own Firebase project and configuration values.
- It does not replace Firebase console setup or billing controls.
- The image helper is illustrative and needs implementation.

## Best Practices

- Keep Firebase configuration values out of committed source files.
- Validate user prompts and avoid sending sensitive data to AI services.
- Add rate limits, caching, and clear fallback behavior before launch.

## Anti Patterns

- Do not hardcode real API keys in client examples or repositories.
- Do not allow unlimited AI requests from unauthenticated users.
- Do not log prompts or responses that contain private user data.

## Security Audit

- Audited at: 2026-07-07T04:18:55.816\+00:00
- Summary: All static findings were false positives caused by Markdown code fences, documented Firebase setup commands, placeholder configuration values, official documentation links, and Firestore rule syntax. No evidence of prompt injection, credential exfiltration, malicious network calls, or hidden executable logic was found in SKILL.md.

## Stats

- Views: 87
- Downloads: 13
- Favorites: 0
- Popularity score: 0