What does the AI科幻 提纯多平台母稿 AI skill do?
用于【AI科幻】题材下的多平台母稿提纯。作为题材包装层与兼容入口，负责保留AI科幻入口名、补充异常数据、系统摩擦、数字压迫感与长期谜团的底盘保真，并明确要求优先强制加载并使用 `通用-提纯多平台母稿`。关键词：AI科幻母稿提纯、多平台底稿、数据链、平台可分化。
Why use AI科幻 提纯多平台母稿 on TypingMind?
Because you install it once and use it with any model. AI科幻 提纯多平台母稿 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 AI科幻 提纯多平台母稿 in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/lornshrimp/Lorn.NovelWriteSkills/tree/main/AI科幻/skills/AI科幻-提纯多平台母稿. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Which AI models can use AI科幻 提纯多平台母稿?
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 AI科幻 提纯多平台母稿?
As many as you like. As long as a model supports skills, you can use AI科幻 提纯多平台母稿 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the AI科幻 提纯多平台母稿 AI skill free?
It is published on GitHub by lornshrimp. 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.
