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review-daily-metrics

Query daily product metrics from the data warehouse and generate an HTML briefing.

Updated Aug 23, 2026
Search Tags:#dashboards#data-analytics#data-warehouse#sql-queries#daily metrics#metrics-highlights
One-click install
npx skills add https://github.com/giladli-mond/cursor-routines --skill review-daily-metrics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-daily-metrics
Source: https://github.com/giladli-mond/cursor-routines/tree/main/skills/review-daily-metrics
Command: npx skills add https://github.com/giladli-mond/cursor-routines --skill review-daily-metrics

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill streamlines the collection and presentation of daily product metrics, transforming raw data into a concise start-of-day briefing.

Core Features & Use Cases

  • Automated metric collection: pulls DAU, campaigns, new signups, and key KPIs from your data warehouse and computes basic trend context.
  • Anomaly and highlight detection: identifies spikes, drops, and notable patterns to guide daily decision making.
  • HTML briefing output: generates a structured HTML summary ready to slot into the morning briefing.

Quick Start

Run the daily metrics review as part of your morning briefing to surface today's highlights.

Frequently Asked Questions about review-daily-metrics

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a daily metrics briefing from my data warehouse?▼

To generate a daily metrics briefing, query your data warehouse for DAU, campaigns, and new signups, then compute activation rates and weekly trend context to produce an HTML-ready report for morning decision making.

What daily product metrics should I include in a morning standup briefing?▼

A morning standup briefing should include daily active users, campaign performance, new signups, activation rate, and weekly trend context to highlight spikes, drops, and notable patterns for product teams.

Does this daily metrics review work with SQL queries and dbt schemas?▼

Yes, the daily metrics review utilizes SQL queries via execute-sql-query for data retrieval, data-expert-agent for exploration, and dbt-query for schema inspection to pull metrics directly from your data warehouse.

Can I output daily KPI highlights as an HTML report for dashboards?▼

Yes, you can output daily KPI highlights as a structured HTML report. The skill generates an HTML-ready summary with anomaly detection, suitable for slotting directly into daily dashboards and morning briefs.

How do I detect anomalies and spikes in daily product metrics automatically?▼

To detect anomalies and spikes in daily product metrics, apply automated highlight detection to your data warehouse query results, identifying notable patterns and drops to guide start-of-day decision making.

What's the best way to automate start-of-day metric collection for product teams?▼

The best way to automate start-of-day metric collection is running a daily metrics review that pulls DAU, campaigns, and signups from the data warehouse, computes trend context, and outputs an HTML briefing automatically.

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