What does the 案例与模板重塑 AI skill do?
律所内部知识沉淀与文书模板提炼专家。将办结案件中的优秀法律文书（答辩状、代理词、法律意见书等）进行脱敏处理，提炼为可复用的起草模板。当用户需要将过往案件的文书模板化、整理所内知识库、脱敏归档精品文书时使用。用户说"把这个答辩状整理成模板"或"做一个文书模板库"时应触发本技能。
Why use 案例与模板重塑 on TypingMind?
Because you install it once and use it with any model. 案例与模板重塑 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 案例与模板重塑 in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/07-知识管理部/案例与模板重塑. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Which AI models can use 案例与模板重塑?
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 案例与模板重塑?
As many as you like. As long as a model supports skills, you can use 案例与模板重塑 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the 案例与模板重塑 AI skill free?
Yes. It is published on GitHub by saysoph 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.
