What does the Work Life Boundary Management AI skill do?
在高压工作环境中（如管理咨询、投行、科技行业），建立和维持工作与生活边界的三条核心规则。适用于需要长期维持职业发展同时保护个人生活的专业人士，特别是频繁出差、工作强度极高的场景。
Why use Work Life Boundary Management on TypingMind?
Because you install it once and use it with any model. Work Life Boundary Management 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 Work Life Boundary Management in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/work-life-boundary-management. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Which AI models can use Work Life Boundary Management?
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 Work Life Boundary Management?
As many as you like. As long as a model supports skills, you can use Work Life Boundary Management with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the Work Life Boundary Management 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.
