理解麦肯锡正式导师制度的实际运作局限，适用于麦肯锡咨询顾问、新入职项目经理和分析师。当加入麦肯锡并依赖公司分配的正式导师制度时使用，帮助调整对导师指导的期望并识别制度缺口。
| Publisher | MichaelRochonnn |
| Repository | mckinsey-bcg-consulting |
| Skill name | mckinsey-formal-mentorship-reality |
| Stars | 77 |
| Forks | 16 |
| Bundled files | Instructions only |
| Links |
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Everything the model needs lives in the instructions — no extra files to sync.
Published by MichaelRochonnn on GitHub. Read the source before you install it.
Install the Mckinsey Formal Mentorship Reality AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.
TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.
https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/mckinsey-formal-mentorship-realityAny agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.
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/mckinsey-formal-mentorship-reality .claude/skills/mckinsey-formal-mentorship-realityEnable Mckinsey Formal Mentorship Reality 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.
AI skills are plain Markdown instructions rather than provider-specific code, so Mckinsey Formal Mentorship Reality 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.
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.
This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.
麦肯锡保持鼓励导师文化的体系，理论上每名咨询顾问（从分析人员到项目经理）都配有一名导师，负责监督和指导其职业生涯。
不能仅依赖正式分配的导师，必须主动外出寻找额外指导。
consultant_level: 咨询顾问级别（分析人员/项目经理/资深项目经理）mentor_quality: 分配导师的质量水平（随机变量）formal_coverage: 是否被正式制度覆盖（仅新PM为真）理解麦肯锡正式导师制度的实际运作局限，适用于麦肯锡咨询顾问、新入职项目经理和分析师。当加入麦肯锡并依赖公司分配的正式导师制度时使用，帮助调整对导师指导的期望并识别制度缺口。
Because you install it once and use it with any model. Mckinsey Formal Mentorship Reality 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.
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/mckinsey-formal-mentorship-reality. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
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.
As many as you like. As long as a model supports skills, you can use Mckinsey Formal Mentorship Reality with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
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.
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.
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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