metrics-review Skill
Review and analyze product metrics with trend analysis and actionable insights. Use when running a weekly, monthly, or quarterly metrics review, investigating a sudden spike or drop, comparing performance against targets, or turning raw numbers into a scorecard with recommended actions. Published by anthropics in knowledge-work-plugins.
Decision snapshot
Is this a fit?
Data analysis, Includes SKILL.md, Reusable instructions
Compatibility not yet detected.
Permission behavior not yet detected.
Copy skill directory
23 days ago · Apache-2.0 license
No specific cautions were detected. Review the source and requested permissions before installing.
What is metrics-review Skill?
Review and analyze product metrics with trend analysis and actionable insights. Use when running a weekly, monthly, or quarterly metrics review, investigating a sudden spike or drop, comparing performance against targets, or turning raw numbers into a scorecard with recommended actions. Published by anthropics in knowledge-work-plugins. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement. See how SkillIndex evaluates profiles.
Key capabilities
- Includes SKILL.md support
- Reusable instructions support
- Data analysis
- Data analysis use cases
Declared skill metadata
- Source file: product-management/skills/metrics-review/SKILL.md
These fields retain source and confidence evidence from the indexed SKILL.md.
Compatibility and setup
- Install or run with Copy skill directory
When to use metrics-review Skill
- Use it for data analysis.
Built with
Editorial notes
Source
- Creator: anthropics
- Repository: anthropics/knowledge-work-plugins
- Skill file: product-management/skills/metrics-review/SKILL.md
What it does
Review and analyze product metrics with trend analysis and actionable insights. Use when running a weekly, monthly, or quarterly metrics review, investigating a sudden spike or drop, comparing performance against targets, or turning raw numbers into a scorecard with recommended actions.
Skill instructions
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, ma
Verified compatibility and discovery
Frequently asked questions
What is metrics-review?
metrics-review is a open-source AI agent skill with Copy skill directory. Review and analyze product metrics with trend analysis and actionable insights. Use when running a weekly, monthly, or quarterly metrics review, investigating a sudden spike or drop, comparing performance.
Who is metrics-review best for?
metrics-review is best for reusing agent instructions, scripts, and references, data analysis workflows.
How do I install metrics-review?
Install or run metrics-review using Copy skill directory. Check metrics-review for the latest setup command.
Is metrics-review actively maintained?
metrics-review may need a closer maintenance check before production use.
Project health auto-fetched from the source repository.
Maintain this resource?
Review this source-backed profile, send a correction with evidence, or link to it from your documentation. Claims verify your relationship to the project; profile facts still require source evidence and editorial review.
