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Firebase Vertex Ai

Checked
jeremylongshore·vlatest·backend·MIT

Helps with Firebase, AI as part of developing backend services and APIs workflows.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

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

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jeremylongshore

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned jeremylongshore/claude-code-plugins-plus-skills at a7be181f58.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
a7be181f58
Manifest
plugins/community/jeremy-firebase/skills/firebase-vertex-ai/SKILL.md
Scanned
7 files, 966 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill allows AI agents to interact with Google's Vertex AI platform through Firebase. It enables agents to leverage Vertex AI’s machine learning models for tasks like text generation, image analysis, and more directly within a Firebase environment. This integration simplifies deployment and management of AI-powered features in applications built on Firebase.

When to use it

  • Image Classification: You need an agent to automatically categorize images uploaded to Firebase Storage.
  • Text Summarization: An agent should summarize long articles stored in your Firebase database for user consumption.
  • Sentiment Analysis: You want an agent to analyze customer feedback collected via a Firebase form and determine the overall sentiment.
  • Content Generation: An agent needs to generate product descriptions based on data stored in Firestore.

Key capabilities

  • Integration with Google Vertex AI models
  • Firebase environment compatibility
  • Machine learning model access for text, image, and other data types
  • Simplified deployment of AI features within Firebase applications

Example prompts

  • "Analyze the sentiment of this customer review: [review text]"
  • "Generate a product description based on these attributes: [attributes]"
  • "Classify this image and provide a confidence score for each possible category."

Tips & gotchas

  • Requires proper authentication with Google Cloud Platform and Firebase.
  • Vertex AI model usage incurs costs; monitor your Vertex AI billing to avoid unexpected charges.