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Presentation 24 Hour Cutoff Rule

Community
MichaelRochonnn
presentation-24-hour-cutoff-rule

在重要商业汇报或咨询项目交付前24小时强制执行文件定稿，停止所有修改，将时间重新分配给彩排、问题准备和团队休息。适用于面临完美主义倾向、上级最后一刻干预压力，或团队疲劳程度高的场景。

Overview

PublisherMichaelRochonnn
Repositorymckinsey-bcg-consulting
Skill namepresentation-24-hour-cutoff-rule
Stars
77
Forks
16
Bundled files
3
Links
Skill sourceRepository
  • 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.

  • 3 bundled files

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

  • Open source

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

Installation

Install the Presentation 24 Hour Cutoff Rule 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/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/presentation-24-hour-cutoff-rule
  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/MichaelRochonnn/mckinsey-bcg-consulting.git /tmp/mckinsey-bcg-consulting
mkdir -p .claude/skills
cp -r /tmp/mckinsey-bcg-consulting/presentation-24-hour-cutoff-rule .claude/skills/presentation-24-hour-cutoff-rule
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Presentation 24 Hour Cutoff Rule 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 Presentation 24 Hour Cutoff Rule 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 Presentation 24 Hour Cutoff Rule 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.

汇报24小时截止原则

强制在汇报前24小时完成文件定稿，抵制过度修改和最后一分钟干预，将精力转向彩排和团队恢复。

何时使用

  • 距离重要汇报、咨询交付或高管演示不足24小时
  • 产生"再改一点更好"的冲动，或发现微小瑕疵想要修正
  • 上级（项目经理、合伙人、高管）要求在最后一刻增改内容
  • 团队已连续加班，疲劳程度影响判断力
  • 陷入"让最佳方案成为优秀方案的敌人"的困境

核心原则

努力的边际收益递减——超过临界点后，吹毛求疵的改变不产生实际价值。

执行步骤

1. 价值权衡评估

当产生修改冲动时，立即评估：

  • 该拟议改变的真实业务价值
  • vs. "你和团队睡个好觉"的价值

若修改仅为视觉完美、措辞优化或数据格式调整，拒绝执行。

2. 识别质变突破点

在会议开始前掌握"质变的突破点"——材料已达到"优秀"标准，继续追求"最佳"只会消耗团队能量而不提升结果。

常见反面警示：

  • 整晚手动修改数据格式
  • 凌晨等待复印或装订
  • 数小时仅因打印错误替换单页

3. 强制执行24小时硬性截止

时间节点强制规则
T-24小时文件定稿，状态锁定为"已完成"
T-24至T-0禁止任何内容修改（安全关键错误除外）
全程训练心理接受"已完成"状态

4. 时间再分配

将原本用于最后修改的时间投入：

  1. 汇报彩排（rehearsal）——计时演练，优化节奏
  2. 问题准备——预判Q&A，制定应对策略
  3. 团队恢复——确保充足睡眠，保持现场状态

5. 向上管理：拒绝最后一刻干预

当高级人员要求增改时：

"根据24小时截止规则，文件已在[时间]定稿。建议将您的想法纳入Q&A准备或后续跟进，而非此刻修改材料。"

防御边界：即使面对CEO，也必须阻止最后一刻干预。提前与团队和管理层达成原则共识。

例外情况

唯一允许突破规则的情形：

  • 涉及生命安全或重大安全风险
  • 发现重大事实错误（非格式、措辞类）

商业汇报、数据分析、战略展示通常不属于安全关键场景。

快速检查清单

  • 距离汇报开始 ≤ 24小时
  • 文件已完成打印/装订/上传
  • 团队知悉并同意截止原则
  • 时间已重新分配至彩排和休息
  • 上级已被告知规则边界（如必要）

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 Presentation 24 Hour Cutoff Rule AI skill do?

在重要商业汇报或咨询项目交付前24小时强制执行文件定稿，停止所有修改，将时间重新分配给彩排、问题准备和团队休息。适用于面临完美主义倾向、上级最后一刻干预压力，或团队疲劳程度高的场景。

Why use Presentation 24 Hour Cutoff Rule on TypingMind?

Because you install it once and use it with any model. Presentation 24 Hour Cutoff Rule 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 Presentation 24 Hour Cutoff Rule in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/presentation-24-hour-cutoff-rule. 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 Presentation 24 Hour Cutoff Rule?

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 Presentation 24 Hour Cutoff Rule?

As many as you like. As long as a model supports skills, you can use Presentation 24 Hour Cutoff Rule with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Presentation 24 Hour Cutoff Rule AI skill free?

It is published on GitHub by MichaelRochonnn. Check the repository for licensing terms. 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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