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Firebase Data Connect

Official
firebase·vlatest·backend·Apache-2.0

Official firebase skill covering Firebase, data for developing backend services and APIs.

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 firebase/agent-skills --skill firebase-data-connect -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

firebase

Matched to the vendor's own GitHub organisation.

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 firebase/agent-skills at 306cc1844c.

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

Commit
306cc1844c
Manifest
skills/firebase-data-connect-basics/SKILL.md
Scanned
17 files, 3,871 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

The firebase-data-connect skill enables AI agents to interact with Firebase databases, allowing them to read from and write to real-time data sources. It supports structured queries and updates using Firebase's API, making it ideal for applications requiring dynamic data handling.

When to use it

  • You need to fetch user data in real time for a dashboard or analytics tool.
  • Your application requires synchronization of data between the client and server with minimal latency.
  • You are building an app that needs to update multiple users simultaneously based on database changes.

Key capabilities

  • Real-time data reading from Firebase
  • Structured query support (e.g., filtering, sorting)
  • Secure write operations with Firebase authentication integration
  • Event-driven updates for reactive applications

Example prompts

  • "Fetch all user records where the last login was in the past 7 days."
  • "Update the status of order ID '12345' to 'shipped' in the database."
  • "Listen for new entries in the 'notifications' collection and trigger an alert when one is added."

Tips & gotchas

  • Ensure your Firebase configuration and security rules allow the AI agent access to the required data.
  • Be mindful of rate limits and optimize queries to avoid overloading the database with frequent requests.