What does the AI科幻 大纲审阅优化闭环 AI skill do?
用于【AI科幻】题材下的提纲审阅优化 SOP 编排。作为题材包装层、兼容入口与路由层，负责保留AI科幻入口名，并明确要求优先强制加载并使用 `通用-大纲审阅优化闭环`，同时按总纲 / 分卷对象分流到对应题材审阅与设计 Skill。
Why use AI科幻 大纲审阅优化闭环 on TypingMind?
Because you install it once and use it with any model. AI科幻 大纲审阅优化闭环 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 大纲审阅优化闭环 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-大纲审阅优化闭环. 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 AI科幻 大纲审阅优化闭环?
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 大纲审阅优化闭环?
As many as you like. As long as a model supports skills, you can use AI科幻 大纲审阅优化闭环 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the AI科幻 大纲审阅优化闭环 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.
