当希望提高团队头脑风暴效率、具备项目框架认知且团队会议前有空余时间时使用。通过个人事前头脑风暴和假设筛选提升会议实效。
| Publisher | MichaelRochonnn |
| Repository | mckinsey-bcg-consulting |
| Skill name | 个人事前头脑风暴准备 |
| 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 个人事前头脑风暴准备 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/pre-brainstorming-preparationAny 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/pre-brainstorming-preparation .claude/skills/michaelrochonnn-7Enable 个人事前头脑风暴准备 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 个人事前头脑风暴准备 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.
在团队讨论开始之前，自己提前进行一番头脑风暴。
关键区别：
迅速淘汰那些不切实际、不合理、缺乏数据支撑或与项目框架不符的假设。
通过预先筛选去除不合理选项，给团队更多时间集中在更合理的假设上进行深入讨论和推敲。
该方法能让随后的团队头脑风暴更切合实际，避免在明显不合理的想法上浪费时间，提高讨论质量。
无论采用何种具体方法进行事前准备，要保证至少你是知道事实的，确保准备充分。
当希望提高团队头脑风暴效率、具备项目框架认知且团队会议前有空余时间时使用。通过个人事前头脑风暴和假设筛选提升会议实效。
Because you install it once and use it with any model. 个人事前头脑风暴准备 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/pre-brainstorming-preparation. 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 个人事前头脑风暴准备 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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