metrics-tree

仓库创建 2026年7月28日最近提交 1 天前SkillHot 收录 1 天前

▸ 精选理由

帮助把抽象目标转为可操作、可监控的指标体系。

这个 Skill 做什么

构建指标树，分解驱动与诊断指标以衡量成效与风险。

把一个目标拆成可量化的驱动指标和诊断指标，形成一棵 Metrics Tree，帮助你知道该看哪些数据来评估成效。用在需要设定成功标准、拆解增长驱动或排查问题根因时，能把北极星、驱动项和领先指标串起来。还会加入防止数据被“刷分”的 guardrails，便于制定可执行的改进计划。

▸ 展开 SKILL.md 英文原文

Use when a decision or plan needs measurable success criteria, driver logic, and diagnostic metrics. Use when applying the Metrics Tree consulting method and when a user asks for Metrics Tree, method execution, structured diagnosis, or action planning.

Skill 开发管理指标树驱动分析可测量目标通用

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给你的 Agent 一句话（通用）

帮我安装这个 skill：https://raw.githubusercontent.com/fzfclee/consulting-skills/main/skills/metrics-tree/SKILL.md

或 curl 直取 SKILL.md

curl -fsSL "https://raw.githubusercontent.com/fzfclee/consulting-skills/main/skills/metrics-tree/SKILL.md"

SKILL.MD 节选查看完整文件 ↗

# Metrics Tree

Use this skill to run `Metrics Tree` as a practical consulting method, not as a generic framework explanation.

## Method Notes

- Start with one outcome, then decompose drivers and leading indicators.
- Add guardrails to prevent gaming or local optimization.

## Required Inputs

Collect or infer these inputs before execution:

- north-star outcome
- business model or process
- available data
- owners

If an input is missing, do not block automatically. Mark it as `missing`, state the assumption used, and add a validation action.

## When Not To Use

Do not use to create a large KPI catalog. Use it to connect outcomes, drivers, owners, and decisions.

## Adjacent Methods

- `

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