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optimization.metric_review

@edwardmonteiro/Aiskillinpractice
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Conduct a metric review that contextualizes performance trends, flags anomalies, and recommends actions.

Install Skill

1Download skill
2Enable skills in Claude

Open claude.ai/settings/capabilities and find the "Skills" section

3Upload to Claude

Click "Upload skill" and select the downloaded ZIP file

Note: Please verify skill by going through its instructions before using it.

SKILL.md

name optimization.metric_review
phase optimization
roles Product Manager, Analytics Lead
description Conduct a metric review that contextualizes performance trends, flags anomalies, and recommends actions.
variables [object Object]
outputs Trend analysis with visualizations and key drivers., Anomaly detection summary with hypotheses., Recommended actions and owners.

Purpose

Support continuous optimization by providing a structured prompt for reviewing performance data and identifying next steps.

Pre-run Checklist

  • ✅ Export relevant metric data (CSV or dashboard snapshots).
  • ✅ Align on segments and filters to analyze.
  • ✅ Confirm data freshness and quality.

Invocation Guidance

codex run --skill optimization.metric_review \
  --input data/{{goal_metric}}-{{period}}.csv \
  --vars "goal_metric={{goal_metric}}" \
         "period={{period}}" \
         "comparison_period={{comparison_period}}" \
         "segments={{segments}}"

Recommended Input Attachments

  • CSV exports or BI dashboard screenshots.
  • Notes from recent experiments or launches impacting the metric.

Claude Workflow Outline

  1. Summarize the goal metric, period, and comparison baseline.
  2. Provide visual or tabular trend analysis highlighting significant movements.
  3. Identify anomalies or inflections, offering hypotheses tied to events or segments.
  4. Recommend actions, owners, and expected impact.
  5. List questions or data gaps to investigate further.

Output Template

## Metric Review — {{goal_metric}} ({{period}})

### Performance Summary
- Trend Overview:
- % Change vs {{comparison_period}}:

### Segment Analysis
| Segment | Current Value | Δ vs Baseline | Notable Insight |
| --- | --- | --- | --- |

### Anomalies & Hypotheses
1. Observation — Hypothesis — Supporting Evidence

### Recommended Actions
| Action | Owner | Timeline | Expected Impact |
| --- | --- | --- | --- |

### Follow-up Questions
- ...

Follow-up Actions

  • Align on prioritized actions during weekly business reviews.
  • File tickets or tasks for high-impact recommendations.
  • Schedule the next review cadence.