What does the Pareto Analysis Resource Optimization AI skill do?
使用二八法则（帕累托法则）识别业务中关键的20%因素，分析绩效高度集中的根因，并制定资源重新配置方案以提升整体盈利能力。适用于证券经纪业务优化、销售团队绩效提升、资源分配决策等存在显著绩效分布不均的场景。当用户询问如何提高盈利能力、发现绩效高度集中在少数人员或客户、或需要优化员工资源配置时触发使用。
Why use Pareto Analysis Resource Optimization on TypingMind?
Because you install it once and use it with any model. Pareto Analysis Resource Optimization 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 Pareto Analysis Resource Optimization in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MichaelRochonnn/mckinsey-bcg-consulting/tree/main/pareto-analysis-resource-optimization. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.
Which AI models can use Pareto Analysis Resource Optimization?
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 Pareto Analysis Resource Optimization?
As many as you like. As long as a model supports skills, you can use Pareto Analysis Resource Optimization with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the Pareto Analysis Resource Optimization 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.
