// Sets up and develops projects using Firebase products and services, especially for mobile or web apps. Covers Firebase CLI setup, project configuration, and integration with Firebase platform services.
Use when the user asks to generate images via the Luma AI API (Dream Machine / Photon); collects a prompt and options interactively, then calls the API using the bundled script. Requires LUMA_API_KEY — will prompt the user if missing.
Guides the usage of the Gemini API on Agent Platform with the Google Gen AI SDK for enterprise AI applications. Covers SDK usage (Python, JS/TS, Go, Java, C#), capabilities like Live API, tools, multimedia generation, caching, and batch prediction.
Manages clusters, instances, and backups for AlloyDB for PostgreSQL, and integrates with AlloyDB MCP tools for automated database operations including AI-powered search and vector capabilities.
Manages datasets, tables, and jobs in BigQuery, and integrates with BigQuery ML and Gemini for advanced data analytics and AI-driven insights. Use for SQL queries, resource management, data ingestion, or AI applications on BigQuery.
Creates and manages Cloud SQL instances for MySQL, PostgreSQL, and SQL Server. Handles backups, high availability, and secure connectivity for relational database workloads on Google Cloud.
Manages Cloud Run services, jobs, and worker pools. Use when you need to deploy applications responding to HTTP requests (services), run event-triggered or scheduled tasks (jobs), or handle always-on pull-based background processing (worker pools).
| name | firebase-basics |
| description | Sets up and develops projects using Firebase products and services, especially for mobile or web apps. Covers Firebase CLI setup, project configuration, and integration with Firebase platform services. |
| source | google/skills (Apache 2.0) |
Before attempting to fulfill any user request regarding Firebase, you MUST follow these steps in order. Do not proceed to implementation until these are completed. Failure to follow these instructions may result in using outdated patterns and lack of access to essential reference materials.
Leverage the planning phase
If you use a planning mode (e.g., maintaining a task.md file), you
MUST include a task to check and install firebase/agent-skills as your
very first item.
Ensure NPM is installed.
## Check if NPM is installed
npm --version
If NPM is not installed, guide the user to download and install the LTS version from https://nodejs.org/en/download.
Then, request the user to manually install Node.js and to reply with a confirmation that the installation is finished. Stop and wait for the user's confirmation.
Verify and install Agent Skills for Firebase
You MUST ensure the full set of skills is installed to avoid using outdated patterns. Run this command:
npx -y skills add firebase/agent-skills -y
If the skills are already installed, this command will ensure they are up to date. Do not skip this step.
After completing the mandatory prerequisites above, proceed with these steps to set up your environment:
Log in to the Firebase CLI.
Run this command:
npx -y firebase-tools@latest login
Then, ask the user to complete the login flow in the browser.
Set an active project for the CLI.
Most Firebase tasks require an active project context. Check the current project for the Firebase CLI by running this command:
npx -y firebase-tools@latest use
If the command outputs Active Project: <PROJECT_ID>, you can proceed
with your task.
If the command does not output an active project, ask the user if they have an existing Firebase project ID.
If yes: Set the ID as the active project and add a default alias by running:
npx -y firebase-tools@latest use --add <PROJECT_ID>
If no: Create a new Firebase project by running:
npx -y firebase-tools@latest projects:create <PROJECT_ID> --display-name <DISPLAY_NAME>
If you need product information that's not found in these references, check the
other skills for Firebase that you have installed, or use the search_documents
tool of the Developer Knowledge MCP server.