optimization.metric_review
CommunityContextualize metric trends, spot anomalies, and act.
Data & Analytics#analytics#optimization#business intelligence#performance analysis#anomaly detection#data trends#metric review
Authoredwardmonteiro
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a structured approach for reviewing performance data, contextualizing trends, flagging anomalies, and recommending actionable next steps for continuous optimization.
Core Features & Use Cases
- Trend Analysis: Provide visual or tabular trend analysis highlighting significant movements.
- Anomaly Detection: Identify anomalies or inflections, offering hypotheses tied to events or segments.
- Use Case: Use this Skill to review the "daily active users" metric for the "last 14 days," identifying any unusual drops or spikes and proposing hypotheses for their causes.
Quick Start
Use the metric_review skill for the "user retention" metric over "Q3 2024," comparing against "Q2 2024."
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: optimization.metric_review Download link: https://github.com/edwardmonteiro/Aiskillinpractice/archive/main.zip#optimization-metric-review Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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