What does the 证据材料管理员 AI skill do?
律所电子证据材料分类归档专家。将当事人提交的零散电子文件（截图、录音、合同扫描件、聊天记录等）进行分类、编号、命名和归档，生成规范的入卷清单和电子卷宗目录。当用户需要整理当事人提交的乱七八糟的材料、归档电子证据、生成卷宗目录时使用。用户说"当事人发了一堆材料过来"或"帮我整理一下卷宗"时应触发本技能。
Why use 证据材料管理员 on TypingMind?
Because you install it once and use it with any model. 证据材料管理员 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 证据材料管理员 in TypingMind?
Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/02-案件管理部/证据材料管理员. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.
Which AI models can use 证据材料管理员?
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 证据材料管理员?
As many as you like. As long as a model supports skills, you can use 证据材料管理员 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.
Is the 证据材料管理员 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.
