pm-metrics
Systematically analyzes product metrics to uncover trends, identify anomalies, and provide actionable business recommendations.
Install
mkdir -p .claude/skills/pm-metrics && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/19507" && unzip -o skill.zip -d .claude/skills/pm-metrics && rm skill.zipInstalls to .claude/skills/pm-metrics
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Делает ревью продуктовых метрик — тренды, аномалии, root causes и рекомендации к действиям. Включает декомпозицию North Star (L1/L2), диагностику retention-кривых, анализ воронки, разбор A/B-экспериментов, проверку соответствия OKR и фреймворк атрибуции аномалий. User-invoked only — do NOT auto-trigger. Triggers on /pm-metrics, "обзор метрик", "разбор воронки", "анализ удержания", "ретеншн", "A/B результаты", "review metrics", "DAU analysis", "retention analysis", "funnel analysis", "metric anomaly".Key capabilities
- →Decompose North Star metrics into L1/L2 dimensions
- →Diagnose retention curves and funnel bottlenecks
- →Interpret A/B experiment results
- →Identify root causes for metric anomalies
How it works
It uses a framework to decompose North Star metrics, analyze growth and retention segments, and identify bottlenecks in conversion funnels to provide actionable insights.
Inputs & outputs
When to use pm-metrics
- →Review weekly product performance metrics
- →Analyze retention curve drops
- →Interpret results from A/B experiments
- →Decompose North Star metrics into L1/L2
About pm-metrics
It provides a framework for reviewing product health using North Star metrics, funnel analysis, and retention diagnostics. It helps identify the root causes of performance shifts and interprets A/B test results.
Делает ревью продуктовых метрик — тренды, аномалии, root causes и рекомендации к действиям. Включает декомпозицию North Star (L1/L2), диагностику retention-кривых, анализ воронки, разбор A/B-экспериментов, проверку соответствия OKR и фреймворк атрибуции аномалий. User-invoked only — do NOT auto-trig
When not to use it
- →When data is missing or lacks a baseline
- →When attempting to infer causation from correlation
Limitations
- →User-invoked only; do not auto-trigger
- →Requires baseline data for meaningful comparison
How it compares
It enforces a structured review process with specific benchmarks and data integrity checks, avoiding the pitfalls of analyzing vanity metrics or small fluctuations.
Compared to similar skills
pm-metrics side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| pm-metrics (this skill) | 0 | 4mo | No flags | Intermediate |
| quant-analyst | 103 | 5mo | No flags | Advanced |
| stock-analyzer | 71 | 4mo | Review | Beginner |
| xlsx | 87 | 8mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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