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metrics-review Skill

AI Agent SkillData & AnalyticsPythonOpen source

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.

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.

Trust signal
95/100
Maintenance signal
90/100
Adoption signal
100/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Data analysis use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use metrics-review Skill

  • Use it for data analysis.

Built with

PythonCopy skill directory

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

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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.

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Forks
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Last commit
9 days ago
Repository age
6 months
License
Apache-2.0

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