What does the Book Acknowledgement Reference AI skill do?
查询《麦肯锡方法》书籍项目的致谢名单与贡献者信息。当用户询问本书创作背景、特定章节的贡献者、项目团队成员，或需要确认某人在本书中的具体贡献角色时使用。
Why use Book Acknowledgement Reference on TypingMind?
Because you install it once and use it with any model. Book Acknowledgement Reference 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 Book Acknowledgement Reference in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/book-acknowledgement-reference. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Which AI models can use Book Acknowledgement Reference?
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 Book Acknowledgement Reference?
As many as you like. As long as a model supports skills, you can use Book Acknowledgement Reference with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the Book Acknowledgement Reference 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.
