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Case Retrieval Display Table

Community
NEU-ZHA
case-retrieval-display-table

Create or update a legal-team-facing horizontal Word case retrieval table for Chinese litigation research. Use when turning retrieved judgments, rulings, typical cases, or duplicate records into one landscape case card per record, especially when the output needs fields for case title hyperlink, classification, court, number/date/procedure, key expressions, core facts/issues, court findings, and disposition.

Overview

PublisherNEU-ZHA
Repositorylegal-ai-skills
Skill namecase-retrieval-display-table
Stars
70
Forks
7
Bundled files
4
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.

  • 4 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 Case Retrieval Display Table 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/case-retrieval-display-table
  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/case-retrieval-display-table .claude/skills/case-retrieval-display-table
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Case Retrieval Display Table 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 Case Retrieval Display Table 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 Case Retrieval Display Table 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.

类案检索展示表

将检索到的每一条题录整理为横向案例卡片,并生成可直接给法律团队阅览的 .docx 明细表。公开版使用 [律所名称] 等占位符,不写入任何真实律所名称、客户名称或项目名称。

工作流程

  1. 先逐案读取可获得的裁判全文、典型案例材料或数据库题录;仅将材料能够支持的内容写入“核心事实/争点”“法院认定”和“裁判结果”。
  2. 先给每案标明检索分类:实体判决、程序/关联裁定、重复题录或典型案例。不要将程序裁定或同案重复题录写成实体裁判规则。
  3. 按 references/case-schema.md 组织 JSON;案件名称本身带原文超链接,不另设“法宝链接”行。
  4. 运行 scripts/build_case_display_table.js 生成横向 A4 文档;无输入数据时,该脚本生成一张可复制的空白案例卡片。
  5. 用 unzip -t 验证输出文件;必要时转为 PDF 并逐页检查表格是否越界、标题是否孤立在页尾,以及超链接是否保留。

生成命令

bash
node scripts/build_case_display_table.js \
  --input cases.json \
  --output "case-retrieval-display-table.docx" \
  --title "[律所名称]|类案检索案例展示表"

生成空白模板时省略 --input:

bash
node scripts/build_case_display_table.js \
  --output "case-retrieval-display-template.docx" \
  --title "[律所名称]|类案检索案例展示模板"

如果当前运行时没有 docx 依赖,请先在本 skill 目录安装:

bash
npm install

输出规则

  • 每案一张横向案例卡片;表头显示“案例 序号|检索分类”。
  • 案件名称是唯一原文链接入口;链接文本应为案名,不要追加“北大法宝链接”等冗余行。
  • “关键表述/关键词”只摘录与检索主题、裁判判断或争点识别有关的原文短语;没有则写“公开材料未载明”或“未见与本案认定相关的关键词”。
  • “法院认定”应压缩“本院认为”的判断路径;“裁判结果”应写明维持、改判、驳回或准许等主文结果。
  • 对全文未公开、材料不全或仅见典型案例摘要的记录,明确写“公开材料未载明”,不得补造案号、日期、事实或裁判理由。
  • 除表内案情内容外,不写“本案/我方案/建议继续关注”等检索报告式语言。

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 Case Retrieval Display Table AI skill do?

Create or update a legal-team-facing horizontal Word case retrieval table for Chinese litigation research. Use when turning retrieved judgments, rulings, typical cases, or duplicate records into one landscape case card per record, especially when the output needs fields for case title hyperlink, classification, court, number/date/procedure, key expressions, core facts/issues, court findings, and disposition.

Why use Case Retrieval Display Table on TypingMind?

Because you install it once and use it with any model. Case Retrieval Display Table 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 Case Retrieval Display Table in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/NEU-ZHA/legal-ai-skills/tree/main/skills/case-retrieval-display-table. 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 Case Retrieval Display Table?

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 Case Retrieval Display Table?

As many as you like. As long as a model supports skills, you can use Case Retrieval Display Table with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Case Retrieval Display Table 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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