Metrics Review
This walks you through a structured product metrics review: pulls data from your analytics tools (or asks you to paste it), organizes metrics into a hierarchy (North Star, then acquisition through retention), and generates a scorecard with trend analysis and recommended actions. It's built for weekly, monthly, or quarterly reviews when you need to turn a pile of numbers into a narrative with clear next steps. The workflow is opinionated about how to structure metrics (L1 health indicators, L2 diagnostic breakdowns), which is helpful if you don't already have a framework but might feel prescriptive if you do. Best for teams that want consistent, repeatable metric reviews rather than ad hoc data exploration.
- skills.sh installs
- 3K
- GitHub stars
- 35.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add anthropics/knowledge-work-plugins --skill metrics-review --agent claude-codeInstalls into .claude/skills of the current project.
Files
Metrics Review
If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.
Review and analyze product metrics, identify trends, and surface actionable insights.
Usage
/metrics-review $ARGUMENTS
Workflow
1. Gather Metrics Data
If ~~product analytics is connected:
- Pull key product metrics for the relevant time period
- Get comparison data (previous period, same period last year, targets)
- Pull segment breakdowns if available
If no analytics tool is connected, ask the user to provide:
- The metrics and their values (paste a table, screenshot, or describe)
- Comparison data (previous period, targets)
- Any context on recent changes (launches, incidents, seasonality)
Ask the user:
- What time period to review? (last week, last month, last quarter)
- What metrics to focus on? Or should we review the full product metrics suite?
- Are there specific targets or goals to compare against?
- Any known events that might explain changes (launches, outages, marketing campaigns, seasonality)?
2. Organize the Metrics
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- Repository
- github.com/anthropics/knowledge-work-plugins
- Categories
- Git & Pull Requests, Code Review & Quality, Debugging
- First seen
- Apr 16, 2026
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