Pkulaw Mcp Labor Employment Answer logo

Pkulaw Mcp Labor Employment Answer

Community
NEU-ZHA
pkulaw-mcp-labor-employment-answer

劳动用工回复草稿工作流,用于把劳动法律与用工管理问题整理成可复核、可追溯、可转发的简短答复文本。Use when:律师、法务、HRBP 或合规同学需要回复业务、管理层或客户的劳动用工问题,并希望输出“结论 + 依据 + 风险提示 + 待复核点”。NOT for:完整劳动专项尽调、仲裁诉讼全案策略设计、以及其他更适合通用法律答复或非劳动领域处理的问题。要求先补事实前提,再检索后结论;未核验的具体法条不得写成确定依据。

Overview

PublisherNEU-ZHA
Repositorylegal-ai-skills
Skill namepkulaw-mcp-labor-employment-answer
Stars
70
Forks
7
Bundled files
3
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by NEU-ZHA on GitHub. Read the source before you install it.

Installation

Install the Pkulaw Mcp Labor Employment Answer AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/NEU-ZHA/legal-ai-skills/tree/main/skills/pkulaw-mcp-labor-employment-answer
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/NEU-ZHA/legal-ai-skills.git /tmp/legal-ai-skills
mkdir -p .claude/skills
cp -r /tmp/legal-ai-skills/skills/pkulaw-mcp-labor-employment-answer .claude/skills/pkulaw-mcp-labor-employment-answer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pkulaw Mcp Labor Employment Answer in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pkulaw Mcp Labor Employment Answer on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pkulaw Mcp Labor Employment Answer is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

北大法宝 MCP:Labor Employment Answer(劳动用工回复草稿)

这个 Skill 是劳动用工垂直交付层。 如果问题明显是招聘、试用期、调岗、绩效、解除、竞业限制、工时休假、社保等劳动用工问题,优先使用本 Skill,而不是回到通用 pkulaw-mcp-grounded-answer。

这个 Skill 真正要完成的动作

把劳动用工问题压缩成一份可直接发给业务、管理层、HR 或客户初看的答复草稿,通常包括:

  • 当前适用前提
  • 简短结论
  • 主要依据
  • 风险提示
  • 待复核点

主对象与辅助对象

主对象

  • 用户提出的劳动用工问题
  • 当前已知事实前提
  • 当次检索到的法规、司法解释、典型类案

辅助对象

  • 业务同事拟好的回复草稿
  • 客户过往沟通口径
  • 内部制度摘要

辅助对象只用于理解场景,不当然等于外部法律依据。

缺信息先追问

以下信息缺失时,先补 1-2 个最关键问题:

  • 用工地区
  • 问题类型:招聘、试用期、调岗、绩效、解除、竞业限制、加班、社保等
  • 关键事实前提:是否有书面制度、是否已通知、是否有证据留痕
  • 交付对象:内部业务、管理层、客户、HR
  • 是否需要类案支撑

如用户暂时无法补齐,只能按“有限事实前提下的初步答复草稿”输出。

推荐工作流

  1. 界定问题:确认这是劳动用工答复草稿,而不是诉讼策略分析。
  2. 补足前提:先问地区、事实、制度基础、交付对象。
  3. 规则检索:优先检索劳动合同法、工时休假、社保、竞业限制等规则依据。
  4. 类案补充:需要裁判倾向或风险对比时,再补案例检索。
  5. 草稿成形:先写“结论 + 前提 + 依据 + 风险提示”。
  6. 引用核验:出现具体法条或司法解释时,用 citation-validator 核验。
  7. 链接增强:需要转发时,再用 doc-link 做增强。

输出纪律

  • 不写“公司一定可以解除”“员工一定胜诉”等绝对化措辞。
  • 事实前提不足时,把“仍需补充的信息”单列出来。
  • 若地区差异、裁判分歧明显,要单独提醒。
  • 面向业务或 HR 时,优先输出“简要结论 + 主要依据 + 风险提示 + 待复核点”。

质量门槛

  • 每个关键结论至少对应一条当次检索依据。
  • 重要引用经过 citation-validator,或明确写明未核验。
  • 事实不足处已单列,不与结论混写。
  • 需要转发时,优先提供 doc-link 增强版本。

失败与降级

  • 检索为空:明确写“未检索到足够依据”,并提示换关键词、补地区或补事实。
  • citation-validator 不可用:只能标注“引用未核验”,不得写“已确认”。
  • 类案不足:只能写“当前样本有限,不能据此概括稳定裁判倾向”。
  • 若问题明显已超出劳动用工回复范围,应提示转入更深层专项分析,而不是硬写。

配套文件

关联 Skill

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Pkulaw Mcp Labor Employment Answer AI skill do?

劳动用工回复草稿工作流,用于把劳动法律与用工管理问题整理成可复核、可追溯、可转发的简短答复文本。Use when:律师、法务、HRBP 或合规同学需要回复业务、管理层或客户的劳动用工问题,并希望输出“结论 + 依据 + 风险提示 + 待复核点”。NOT for:完整劳动专项尽调、仲裁诉讼全案策略设计、以及其他更适合通用法律答复或非劳动领域处理的问题。要求先补事实前提,再检索后结论;未核验的具体法条不得写成确定依据。

Why use Pkulaw Mcp Labor Employment Answer on TypingMind?

Because you install it once and use it with any model. Pkulaw Mcp Labor Employment Answer 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 Pkulaw Mcp Labor Employment Answer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NEU-ZHA/legal-ai-skills/tree/main/skills/pkulaw-mcp-labor-employment-answer. 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 Pkulaw Mcp Labor Employment Answer?

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 Pkulaw Mcp Labor Employment Answer?

As many as you like. As long as a model supports skills, you can use Pkulaw Mcp Labor Employment Answer with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pkulaw Mcp Labor Employment Answer AI skill free?

Yes. It is published on GitHub by NEU-ZHA 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.

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