What is writing-north-star-metrics?
Define or refresh a product North Star metric + driver tree and produce a shareable North Star Metric Pack (narrative, metric spec, inputs, guardrails, rollout). Source: liqiongyu/lenny_skills_plus.
Define or refresh a product North Star metric + driver tree and produce a shareable North Star Metric Pack (narrative, metric spec, inputs, guardrails, rollout).
Quickly install writing-north-star-metrics AI skill to your development environment via command line
Source: liqiongyu/lenny_skills_plus.
Produce a North Star Metric Pack in Markdown (in-chat; or as files if the user requests):
1) North Star Narrative (value model, tie-breaker, scope) 2) Candidate metrics (3–5) + selection rationale (evaluation table) 3) Chosen North Star Metric spec (definition, formula, window, segmentation, owner, data source) 4) Driver tree (leading input/proxy metrics + guardrails)
5) Validation & rollout plan (instrumentation checks, dashboard cadence, decision rules) 6) Risks / Open questions / Next steps (always included)
Define or refresh a product North Star metric + driver tree and produce a shareable North Star Metric Pack (narrative, metric spec, inputs, guardrails, rollout). Source: liqiongyu/lenny_skills_plus.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill writing-north-star-metricsDefine or refresh a product North Star metric + driver tree and produce a shareable North Star Metric Pack (narrative, metric spec, inputs, guardrails, rollout). Source: liqiongyu/lenny_skills_plus.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/liqiongyu/lenny_skills_plus --skill writing-north-star-metrics Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/liqiongyu/lenny_skills_plus