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consulting-hypothesis-driven-80-20咨询假设驱动 80 20

Agent Skill

consulting-hypothesis-driven-80-20 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

470

周安装

19

GitHub Stars

1

下载量

147
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:consulting-hypothesis-driven-80-20(咨询假设驱动 80 20)
来源仓库:https://github.com/santos-sanz/lifeskills
仓库路径:skills/consulting-hypothesis-driven-80-20
安装命令:
npx skills add https://github.com/santos-sanz/lifeskills --skill consulting-hypothesis-driven-80-20
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/santos-sanz/lifeskills --skill consulting-hypothesis-driven-80-20

简介

将模糊问题转化为可验证假设,聚焦 80% 关键因素解决核心问题。

  • 适用于资源受限下的优先级排序和实验设计。
  • 输出 falsifiable 假设列表和明确的继续/停止标准。
  • 需输入业务目标、时间窗口和数据约束等必要上下文。
  • consulting-hypothesis-driven-80-20 属于AI 工具类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Hypothesis Driven 80/20

Use $ARGUMENTS as initial context.

When to use this skill

  • Ambiguous problems that need fast direction before full analysis.
  • Prioritizing limited team capacity across competing hypotheses.
  • Designing a test plan with clear stop or continue criteria.
  • Converting broad strategic questions into measurable experiments.

Required inputs

  • Governing business question and target metric.
  • Time horizon and decision deadline.
  • Data constraints and available analysis bandwidth.

Workflow

  1. Define one decision question and explicit success metric.
  2. Generate 3-7 falsifiable hypotheses using strict format.
  3. For each hypothesis define expected signal, disconfirming signal, and kill threshold.
  4. Score hypotheses with 80/20 lens: impact, confidence, effort, speed.
  5. Select top 1-2 hypotheses for minimum viable tests.
  6. Build workplan with owners, deadlines, and decision checkpoints.

Ask-first questions

Ask up to 3 questions before ranking hypotheses:

  1. Which single metric determines decision success?
  2. What is the latest acceptable date for a go or no-go decision?
  3. Which datasets are trusted and immediately accessible?

Assumption policy

  • If critical data is unavailable, proceed with transparent assumptions.
  • Annotate each assumption with confidence and validation action.
  • Avoid merged hypotheses; keep one causal chain per hypothesis.

Output contract

Always produce these sections in order:

  1. Context
  2. Decision or Recommendation
  3. Analysis
  4. Risks
  5. Next Actions
  6. Assumptions

Guardrails

  • Hypotheses must follow: "If X, then Y, because Z.".
  • Avoid descriptive statements that cannot be disproven.
  • Include both confirming and disconfirming signals.
  • Stop low-value analysis once kill threshold is reached.

Resources

  • references/hypothesis-design.md - Falsifiability rules and signal design.
  • references/80-20-prioritization.md - Scoring and sequencing framework.
  • templates/hypothesis-plan.md - Decision-ready hypothesis template.
  • examples/hypothesis-example.md - Golden example with incomplete inputs.

Keywords

hypothesis driven, 80/20, falsifiable hypothesis, prioritization, test plan, consulting

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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12.28%
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7.64%
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3.57%
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安全审计

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通过

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权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。

来源信息

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