What does the 建模思路 AI skill do?
数学建模冲奖的模型设计方法论：每一问只设置一个主创新方向并保留可解释基线，创新必须落到题目真实约束上，最终数值须由实际求解状态、可行性表和敏感性/鲁棒性检验支撑。随附面向算电协同四问的完整冲奖模型设计范例（分层分位数负载预测、边际碳价调度、鲁棒MILP+MPC、自适应ε-约束Pareto continuation）。当用户要求设计创新模型方案、冲奖模型思路、建模创新点、模型选型论证或参考获奖级建模设计时使用。
Why use 建模思路 on TypingMind?
Because you install it once and use it with any model. 建模思路 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 建模思路 in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jsChen-biostat/math-modelCN/tree/main/math-modeling-workbench/skills/建模思路. 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 建模思路?
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 建模思路?
As many as you like. As long as a model supports skills, you can use 建模思路 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the 建模思路 AI skill free?
Yes. It is published on GitHub by jsChen-biostat under the MIT license. 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.
