mckinsey-consultant

mckinsey-consultant is a skill for Claude Code, Codex from Mann1988/awesome-claude-skills. It costs 82 tokens per session (5,783 once invoked), scanned A, original, MIT.

A consulting style method for breaking business questions into structured analyses and producing research reports or presentations.

In plain words
What is it for?
Use it for strategy and business analysis, including issue trees, hypotheses, research, and McKinsey style reports or slides.
Why use it?
It helps turn a broad business problem into smaller questions, test possible explanations, and organize the findings into a clear deliverable.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it for strategy and business analysis, including issue trees, hypotheses, research, and McKinsey style reports or slides.

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Install with agentmods
npx agentmods add skills/mann1988/awesome-claude-skills/mckinsey-consultant-11
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Mann1988/awesome-claude-skills --skill mckinsey-consultant-11
Clone the repo
git clone --depth 1 https://github.com/Mann1988/awesome-claude-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for mckinsey-consultant

README.md
[![agentmods](https://agentmods.dev/badge/skills/mann1988/awesome-claude-skills/mckinsey-consultant-11/github.svg)](https://agentmods.dev/skills/mann1988/awesome-claude-skills/mckinsey-consultant-11)
Your own site
<a href="https://agentmods.dev/skills/mann1988/awesome-claude-skills/mckinsey-consultant-11"><img src="https://agentmods.dev/badge/skills/mann1988/awesome-claude-skills/mckinsey-consultant-11/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for mckinsey-consultant

Your own site · 80×15
<a href="https://agentmods.dev/skills/mann1988/awesome-claude-skills/mckinsey-consultant-11"><img src="https://agentmods.dev/badge/skills/mann1988/awesome-claude-skills/mckinsey-consultant-11.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 82 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,783 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00082 $0.05783
Opus 5 $0.00041 $0.02891
Sonnet 5 $0.00016 $0.01157
Haiku 4.5 $0.00008 $0.00578

Measured 12d ago against content hash cf5279c58606, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

mckinsey-consultant scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

mckinsey-consultant-11/SKILL.md · 737 lines

How it starts

The opening of the file, as written. The whole thing — 737 lines — stays where its author put it; the contents beside it link to each section on GitHub.

McKinsey Consultant V3.1

架构: Progressive Disclosure (渐进式披露) + Dependency-Aware (依赖感知) 核心升级:

  • V3.0: 最小核心 + 按需加载 → 节省70%上下文
  • V3.1: 页面依赖关系标注 → 跨对话续写更智能

⚠️ CRITICAL BEHAVIOR RULES

这些规则优先级最高,Claude必须严格遵守:

1. 首次使用响应规则

当用户说"我刚添加了mckinsey-consultant skill"或"Can you make something amazing with it?"时:

  • 必须使用下面"首次使用引导"中的精确话术
  • 只输出4行文字,不做任何扩展
  • 禁止列举示例问题
  • 禁止详细询问行业/交付物/范围等
  • 禁止超过4行回复
  • 只问一个二选一的问题,然后等待用户回应

2. 问题澄清规则

  • ✅ 只问当下最关键的1-2个问题
  • ❌ 不要一次性列出5个以上的问题
  • ❌ 不要把澄清变成"需求调研问卷"

3. 流程启动规则

  • ✅ 只有用户明确说"开始"或提供了足够信息后,才进入Problem Solving流程
  • ❌ 不要在用户只是询问时就自动开始STEP 1

🎯 架构说明

问题: V2.0的SKILL.md包含1130行完整文档,一次性加载消耗大量上下文

解决: V3.0采用"导航地图"模式

  • SKILL.md: 只有导航和触发逻辑 (~300行)
  • References: 详细内容按需file_read加载
  • 原则: 用完即释放,不常驻上下文

🌟 首次使用引导

检测触发:

  • 用户说"我刚添加了mckinsey-consultant skill"
  • 用户说"Can you make something amazing with it?"
  • 用户询问但不熟悉本skill

⚠️ Claude必须严格使用以下话术,不得扩展:

我看到你添加了mckinsey-consultant skill!
这是一个McKinsey风格问题解决工具。

需要我介绍工作方法吗?
还是直接告诉我你想分析什么商业问题?

禁止事项:

  • ❌ 不要列举示例问题(如"市场进入策略?"、"业务增长机会?"等)
  • ❌ 不要详细询问行业/交付物/范围
  • ❌ 不要使用emoji或过度格式化
  • ❌ 不要超过4行文字
  • ✅ 只问这一个二选一问题,然后等待用户回应

正确示例 ✅:

我看到你添加了mckinsey-consultant skill!
这是一个McKinsey风格问题解决工具。

需要我介绍工作方法吗?
还是直接告诉我你想分析什么商业问题?

错误示例 ❌:

我看到你添加了mckinsey-consultant skill!这是一个非常强大的咨询框架系统。

在开始创建之前,我想先和你确认几个关键问题:

1. **你想解决什么商业问题?** 
   - 市场进入策略?
   - 业务增长机会?
   ...
2. **期望的交付物形式:**
   ...

如果需要介绍file_read: references/quick-guide.md


📋 8步工作流总览

Phase 1: 问题拆解 (20-30分钟)
  STEP 1: 定义问题边界
  STEP 2: Issue Tree (MECE拆解)
  STEP 3: Hypotheses (假设驱动)

Phase 2: 设计方案 (30-40分钟)
  STEP 4: 确定论证方式
  STEP 5: 设计Dummy Pages → 输出Dummy.md

Phase 3: 逐页生成 (40-60分钟)
  STEP 6-7: 逐页循环(搜索→Excel→PPT→自检→暂停)
  STEP 8: 可选生成Word
  STEP 9: 迭代优化

⏱️ 总耗时: 90-110分钟 | vs传统: 节省95%


🚀 启动方式

方式1: 新项目

"用mckinsey-consultant分析[商业问题]"
"分析中国XX市场的增长机会"

→ Claude执行: 从STEP 1开始

方式2: 跨对话续写

[上传 项目名_DummyPages_日期.md]
[可选: 上传已完成的PPT和Excel]

"这是之前的项目,请从第X页继续生成"

→ Claude执行: 读取Dummy,从指定页继续

Read the full file on GitHub · 737 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 737 lines · 82 tokens per session scan A cf5279c58606

Subscribe to this mod's changes

mckinsey-consultant is a skill published in the GitHub repository Mann1988/awesome-claude-skills (65 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 5,783 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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