metrics-tree
✓Use when setting product North Star metrics, decomposing high-level business metrics into actionable sub-metrics and leading indicators, mapping strategy to measurable outcomes, identifying which metrics to move through experimentation, understanding causal relationships between metrics (leading vs lagging), prioritizing metric improvement opportunities, or when user mentions metric tree, metric decomposition, North Star metric, leading indicators, KPI breakdown, metric drivers, or how metrics connect.
Installation
SKILL.md
Decompose high-level "North Star" metrics into actionable sub-metrics, identify leading indicators, understand causal relationships, and select high-impact experiments to move metrics.
A metrics tree decomposes a North Star metric (the single most important product/business metric) into its component drivers, creating a hierarchy of related metrics with clear causal relationships.
North Star Metric: Single metric that best captures core value delivered to customers and predicts long-term business success. Examples:
Use when setting product North Star metrics, decomposing high-level business metrics into actionable sub-metrics and leading indicators, mapping strategy to measurable outcomes, identifying which metrics to move through experimentation, understanding causal relationships between metrics (leading vs lagging), prioritizing metric improvement opportunities, or when user mentions metric tree, metric decomposition, North Star metric, leading indicators, KPI breakdown, metric drivers, or how metrics connect. Source: lyndonkl/claude.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/lyndonkl/claude --skill metrics-tree- Source
- lyndonkl/claude
- Category
- </>Dev Tools
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is metrics-tree?
Use when setting product North Star metrics, decomposing high-level business metrics into actionable sub-metrics and leading indicators, mapping strategy to measurable outcomes, identifying which metrics to move through experimentation, understanding causal relationships between metrics (leading vs lagging), prioritizing metric improvement opportunities, or when user mentions metric tree, metric decomposition, North Star metric, leading indicators, KPI breakdown, metric drivers, or how metrics connect. Source: lyndonkl/claude.
How do I install metrics-tree?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/lyndonkl/claude --skill metrics-tree Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/lyndonkl/claude
Details
- Category
- </>Dev Tools
- Source
- skills.sh
- First Seen
- 2026-02-01