From jeremy-firebase
Designs, implements, and deploys Firebase apps with secure Vertex AI Gemini integration in Cloud Functions for Auth, Firestore, Storage, Hosting.
How this skill is triggered — by the user, by Claude, or both
Slash command
/jeremy-firebase:firebase-vertex-aiThis skill is limited to the following tools:
The summary Claude sees in its skill listing — used to decide when to auto-load this skill
Operate Firebase projects end-to-end (Auth, Firestore, Functions, Hosting) and integrate Gemini/Vertex AI safely for AI-powered features.
Operate Firebase projects end-to-end (Auth, Firestore, Functions, Hosting) and integrate Gemini/Vertex AI safely for AI-powered features.
Use this skill to design, implement, and deploy Firebase applications that call Vertex AI/Gemini from Cloud Functions (or other GCP services) with secure secrets handling, least-privilege IAM, and production-ready observability.
Example: Gemini-backed chat API on Firebase
/api/chat function, Secret Manager wiring, and smoke tests.Example: Firestore-powered RAG
${CLAUDE_SKILL_DIR}/references/SKILL.full.mdnpx claudepluginhub jeremylongshore/claude-code-plugins-plus-skills --plugin jeremy-firebaseBuild and configure Firebase-powered web and mobile apps: Firestore, Auth, Hosting, Cloud Functions, Storage, App Check, Remote Config, Analytics. Use for authentication flows, data modeling, hosting deployment, security rules.
Builds production Firebase Genkit apps with RAG, multi-step flows, and tool calling in Node.js, Python, or Go. Deploys to Firebase Functions or Cloud Run with OpenTelemetry monitoring.
Guides Firebase usage including Auth, Firestore, Realtime DB, Cloud Functions, Storage, and Hosting. Covers security rules, data modeling for query patterns, and denormalization.