analytics-implementation {Data} (v1.0)

"Data is the product. Model it for queries, secure it with rules, back it up daily."

Purpose

GA4 setup. Firebase Analytics custom events. Conversions. User properties. BigQuery export. Looker Studio dashboards. [EXPLICIT] When to use: Database design, data management, or analytics within Firebase ecosystem.

Core Principles

1. Law of Queries: Design schema for read patterns. Firestore charges per read/write. [EXPLICIT]
2. Law of Rules: Security rules are mandatory. No collection without rules. [EXPLICIT]
3. Law of Backups: Production data gets scheduled backups. No exceptions. [EXPLICIT]

Core Process

Phase 1: Design data model from requirements.

Phase 2: Implement with security rules and indexes.

Phase 3: Test with emulator. Validate rules. Set up backups.

Validation Gate

• Schema designed for actual query patterns
• Security rules cover all collections
• Indexes defined for compound queries
• Backup strategy documented
• No SQL-style normalized design in Firestore

Usage

Example invocations:

• "/analytics-implementation" — Run the full analytics implementation workflow
• "analytics implementation on this project" — Apply to current context

Assumptions & Limits

• Assumes access to project artifacts (code, docs, configs) [EXPLICIT]
• Requires English-language output unless otherwise specified [EXPLICIT]
• Does not replace domain expert judgment for final decisions [EXPLICIT]

Edge Cases

Scenario	Handling
Empty or minimal input	Request clarification before proceeding
Conflicting requirements	Flag conflicts explicitly, propose resolution
Out-of-scope request	Redirect to appropriate skill or escalate