Firebase AI Logic Basics
Official skill for integrating Firebase AI Logic (Gemini API) into web apps — setup, multimodal inference, structured output, security
- What
- Official skill for integrating Firebase AI Logic (Gemini API) into web apps — setup, multimodal inference, structured output, security
- Cost
- Free
- Needs
- Node.js 16+ and npm; a Firebase project with at least one registered app; the Firebase CLI via `npx -y firebase-tools@latest` (no install needed)
- Install
- Copy the installer prompt below into your Muse — your agent does the rest.
Curated by Skill Harbor — the official Firebase agent skill for adding generative AI to mobile and web apps via client-side SDKs: call Gemini models directly without managing a backend, with setup and initialization, multimodal inference, structured output, and security guidance. Covers the two providers: Gemini Developer API (free tier for prototyping, pay-as-you-go for production — the default) and Agent Platform Gemini API (enterprise scale, requires Blaze plan). By @firebase, listed here with credit to its creator. Honest caveats: the Gemini Developer API free tier is fine for prototyping, but production usage is metered — check current pricing; a Firebase project with at least one registered app is required. Skill Harbor never reviews the code, review it yourself before use.
Version:
Install
Prerequisites: Node.js 16+ and npm; a Firebase project with at least one registered app; the Firebase CLI via `npx -y firebase-tools@latest` (no install needed) Install "Firebase AI Logic Basics" for me. Official skill for integrating Firebase AI Logic (Gemini API) into web apps — setup, multimodal inference, structured output, security Repository: https://github.com/firebase/agent-skills 1. Fetch the SKILL.md file for the firebase-ai-logic-basics skill from the repository into a temporary folder and summarize what it does in one or two sentences. 2. Safety check: review the SKILL.md and scripts for anything suspicious (unexpected network calls, shell commands, credential harvesting). This repo should contain zero secrets in code, credentials only via the secure vault, allowed hosts declared in the SKILL.md. Verify that holds here; STOP on any red flag and tell me. 3. Install it as a skill: copy SKILL.md and its helper files into the agent's skills directory, in a folder named "firebase-ai-logic-basics". 4. Verify with no network calls: frontmatter valid, files in place. 5. Report what was installed, where, and what I still need to do myself (e.g. any accounts, API keys, or CLI tools mentioned in the prerequisites above). GitHub is optional: if I have a GitHub account or the gh CLI, you may use it; otherwise public access is fine. Never require it unless it's in the prerequisites above. Rules: don't touch anything outside the temp folder and the install target. Never ask me to paste secrets in chat — credentials go through the secure vault or environment variables. If anything looks off, stop and ask me.
Questions
How do I install a build?
Every product page includes a copy-paste install prompt. Paste it into your Muse and it sets the build up for you — no manual configuration.
Where does my money go?
Straight to the seller. Skill Harbor never processes payments: checkout happens on the seller’s own page, usually Stripe.
What does the ✓ next to a creator’s name mean?
It means we confirmed the identity of the person behind the listing. It says nothing about the code itself — always check a build before installing it.