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Less Is More Priorities

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ace3000chao
less-is-more-priorities

用于战略聚焦和优先级排序。当用户在列举多个目标、感到事情太多无法取舍、季度规划时激活。 不适用于:执行层面的任务清单管理(那是项目管理范畴)、外部突发事件应对。 关键 trigger:提到"都很重要"、"优先级"、"聚焦"、"太多事情"。

Overview

Publisherace3000chao
Repositorybook2startup
Skill nameless-is-more-priorities
Stars
93
Forks
14
Bundled files
1
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ace3000chao on GitHub. Read the source before you install it.

Installation

Install the Less Is More Priorities AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/less-is-more-priorities
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ace3000chao/book2startup.git /tmp/book2startup
mkdir -p .claude/skills
cp -r /tmp/book2startup/ScalingUp-skills/less-is-more-priorities .claude/skills/less-is-more-priorities
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Less Is More Priorities in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Less Is More Priorities on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Less Is More Priorities is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Less Is More Priorities

R — 原文 (Reading)

"Set a handful of Priorities (the fewer the better)."

— Verne Harnish, Scaling Up, 第9章


I — 方法论骨架 (Interpretation)

Scaling Up 的优先级哲学极其明确:优先事项越少越好,季度主题最好只有1个。背后的认知科学依据是:人类心智处理多任务时有极高的切换成本,聚焦才能产生突破性成果。

"什么都重要 = 什么都不重要"不是比喻,是神经科学事实。当一个团队同时推进10个 initiatives,每个 initiatives 只能获得10%的注意力,实际上什么都做不透。

3倍行业利润率需要的是在少数关键点上做到极致,而非在多个平庸维度上略有改善。聚焦不是放弃,而是有意识地选择不做什么。


A1 — 书中的应用 (Past Application)

案例 1: 某SaaS公司的季度"只有一件事"

  • 问题: 创始团队每季度初列出15个"优先级",到季度末发现真正完成的只有2-3个,其他都半途而废。
  • 方法论的使用: 强制要求每个部门只选1个季度最高优先事项,全公司层面只选3个。资源倒推:如果这1件事没做完,下季度不开启新事项。
  • 结论: 季度目标减少到3个后,完成率从20%提升到85%。
  • 结果: 虽然做的事情变少,但每个核心指标的改善幅度显著增大。

案例 2: 零售连锁的聚焦转型

  • 问题: 30家门店同时推进数字化、新品类、会员体系、培训升级4个战略项目,资源分散,每项推进缓慢。
  • 方法论的使用: 高管团队花两天时间用"Opportunity Discovery"方法论重新排序。结论:未来两个季度只聚焦"单店客流提升",其他三项作为支持项而非独立战略。
  • 结论: 量化后发现:单店客流每提升10%,整体收入提升大于其他3项总和的预期贡献。
  • 结果: 两个季度后单店客流提升22%,整体利润增长超过前两年的总和。

A2 — 触发场景 (Future Trigger) ★

用户会在什么情境下需要这个 skill?

  1. 季度规划时:用户开始列季度目标,一二三四五六七……超过3个时。
  2. 感到团队疲于奔命时:用户说"大家都很忙但好像没什么进展"。
  3. 战略讨论无法收敛时:高管会议讨论战略,列了8个方向但无法达成共识。
  4. 新项目立项时:用户问"这个新项目要不要做"——需要先问:如果做这个,原来哪个项目会被替换?
  5. KPI过多导致团队迷茫时:当团队有15个KPI需要跟踪,每个人都认为自己的指标最重要。

语言信号 (用户的话里出现这些就应激活)

  • "事情太多了……"
  • "优先级……"
  • "聚焦……"
  • "先做哪个……"
  • "想做的事太多"
  • "这也很重要那也很重要"

与相邻 skill 的区分

  • 与 OPSP Alignment 的区别:OPSP是全公司对齐的工具,Less Is More是优先级排序的原则——先决定不做什么,OPSP才能有效传达。
  • 与 Fast Pulse Fast Growth 的区别:快脉搏是节奏设计,这个是聚焦设计——节奏对了但聚焦错了,同样无效。

E — 可执行步骤 (Execution)

当 skill 被激活后,agent 应按以下步骤执行:

  1. 列举当前所有"优先级"并强制排序

    • 让用户或团队列出所有正在推进和计划推进的事项(不超过2分钟快速列举)
    • 完成标准:得到一份完整清单
  2. 用"消除法"而非"选择法"做筛选

    • 问:如果只能留3件事,你会留哪3件?再问:如果只能留1件呢?
    • 引导用户理解:被筛掉的事项不是"不做",而是"这个季度不做"
    • 判停条件:若团队能快速达成共识(<15分钟),跳过步骤3
  3. 为选定的优先事项分配70%资源

    • 明确:每个优先事项的负责人、关键里程碑、所需资源占比
    • 规则:任何新增优先事项,必须从现有清单中移除对等数量的事项
    • 完成标准:产出一份"本季度Top3 + 冷冻清单"的文档

B — 边界 (Boundary) ★

不要在以下情况使用此 skill

  • 紧急危机处理时:危机响应需要即时动员全部资源,但危机过后必须立刻回归聚焦状态。
  • 早期探索阶段:产品市场契合度未确认前,尝试本身就是聚焦——过早收窄会错过正确答案。
  • 合规和法定义务:这类事项无论多"低优先级"都不能从清单移除。

作者在书中警告的失败模式

  • 列出优先事项后没有相应减少其他工作,等于没有真正聚焦——团队仍然被各种事项拉扯。

作者的盲点 / 时代局限

  • 对多元利益相关方(董事会、投资者、合作伙伴)的期待管理不足——他们可能各有优先事项,与内部聚焦产生冲突。

容易混淆的邻近方法论

  • BHAG(Big Hairy Audacious Goal):BHAG是10-25年的方向,Less Is More是当下季度的执行选择——一个是望远镜,一个是放大镜。

相关 skills (阶段 3 填充)

  • depends-on: [opsp-alignment]
  • contrasts-with: [bhag, fast-pulse-fast-growth]
  • composes-with: [3x-industry-profitability]

审计信息

  • 验证通过: V1 ✓ / V2 ✓ / V3 ✓
  • 测试通过率: 待填充
  • 蒸馏时间: 2026-04-26

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Less Is More Priorities AI skill do?

用于战略聚焦和优先级排序。当用户在列举多个目标、感到事情太多无法取舍、季度规划时激活。 不适用于:执行层面的任务清单管理(那是项目管理范畴)、外部突发事件应对。 关键 trigger:提到"都很重要"、"优先级"、"聚焦"、"太多事情"。

Why use Less Is More Priorities on TypingMind?

Because you install it once and use it with any model. Less Is More Priorities is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Less Is More Priorities in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ace3000chao/book2startup/tree/master/ScalingUp-skills/less-is-more-priorities. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Less Is More Priorities?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Less Is More Priorities?

As many as you like. As long as a model supports skills, you can use Less Is More Priorities with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Less Is More Priorities AI skill free?

Yes. It is published on GitHub by ace3000chao under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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