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Trial Scheduling And Deadline Monitoring

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THUYRan
trial-scheduling-and-deadline-monitoring

当用户需要跟踪、被提醒案件的开庭排期、执行排期、证据提交期限、上诉期限、送达期限、保全续保等各项法定期限时，使用此技能。 典型触发场景包括但不限于： - 提到"上诉期限""证据提交期限""送达期限""保全期限"等关键词 - 增加、修改、询问案件期限时

Overview

PublisherTHUYRan
RepositoryLegal-Skills-Chinese
Skill nametrial-scheduling-and-deadline-monitoring
Stars
929
Forks
102
Bundled files
Instructions only
Links
Skill sourceRepository
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by THUYRan on GitHub. Read the source before you install it.

Installation

Install the Trial Scheduling And Deadline Monitoring 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/THUYRan/Legal-Skills-Chinese/tree/main/skills/trial-scheduling-and-deadline-monitoring
  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/THUYRan/Legal-Skills-Chinese.git /tmp/Legal-Skills-Chinese
mkdir -p .claude/skills
cp -r /tmp/Legal-Skills-Chinese/skills/trial-scheduling-and-deadline-monitoring .claude/skills/trial-scheduling-and-deadline-monitoring
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trial Scheduling And Deadline Monitoring 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 Trial Scheduling And Deadline Monitoring 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 Trial Scheduling And Deadline Monitoring 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.

庭审排期与程序时限监控

跟踪法院排期、证据提交期限、上诉期限、送达期限，避免程序性风险。

触发条件

包括但不限于以下情形：

  • 提到“上诉期限”“证据提交期限”“送达期限”“保全期限”等关键词
  • 增加、修改、询问案件期限时

若用户要求交付__程序时限监控一览表、证据提交期限一览表、送达期限一览表、上诉期限一览表、保全期限一览表时__，同样使用此技能。

排除情形

__请勿使用__此技能处理以下需求：

  • 增减、修改、管理某一案件的关键时间地点一览表
  • 管理、询问律师、律师助理、实习生的工作时长
  • 与案件期限排期无关的一般性编程任务

Skill Title

跟踪法院排期、证据提交期限、上诉期限、送达期限、保全期限等法定期限，避免程序性风险

Capabilities

  • 当用户增删、修改立案时间、传票送达时间、判决书送达时间、保全时间等法定期限的起算时间点时，根据《民事诉讼法》及相关司法解释，计算可确定的法定期限节点
  • 对于每一个案件，当用户没有完整输入所有法定期限起算点时，主动询问用户是否遗漏相关信息
  • 在法定期限前5天、前3天分别提醒法官、检察官、仲裁员、律师等某个案件的诉讼期限
  • 当用户询问某个案件的期限时，向用户提供案件期限一览表
  • 当用户询问某个期限，如证据提交期限时，向用户提供证据提交期限一览表，包括所有需要提交证据的案件和对应期限
  • 当用户询问近日期限时，向用户提供截止到30日之后的法律期限一览表，包含此期间内所有期限的截止日期、对应案件、对应工作。

How to Use

当增添、修改一个需要监控期限的案件时：

  1. 创建新增案件名称，或通过案件名称选择已有案件
  2. 输入已知的时间起算点，如起诉材料送达法院时间、立案时间、裁判文书送达时间、开庭时间、保全时间等
  3. 根据《民事诉讼法》及相关司法解释，计算可确定的法定期限节点
  4. 向用户展示计算结果，询问用户是否有需要调整的日期
  5. 输出经用户确认过的程序监控期限一览表。

当用户需要调取某一法律期限一览表时：

  1. 检索所有涉及此种法律期限的案件
  2. 以当前日期为节点，只筛选法定期限截止日期在今日之后的案件
  3. 检查是否有案件没有该法律期限的起始日期，需要用户进行补充
  4. 将2、3筛选后的案件一并输出于某一法律期限一览表。

当用户需要近日法律期限一览表时：

  1. 询问用户筛选期限范围
  2. 如果用户提供明确期限（如15日）或日期（如3月2日），则以当前日期为节点，筛选截止到用户明确期限或日期内的法律期限一览表
  3. 如果用户没有提供明确期限，则以当前日期为节点，筛选截止到30日之后的法律期限一览表

当提醒用户某一案件的某一法定期限即将达到时

  1. 判断用户当前谈论案件是哪一个案件，调取该案件程序监控期限一览表
  2. 检查当前日期是否到达法定期限截止日前5日、前3日
  3. 输出提醒用户的信息，格式为“注意：xx案件将于5日后（xx年xx月xx日）到达xx期限。“

Input Format

必需项

  • 案件名称
  • 法定期限类型
  • 法定期限起始日

可选项

  • 法定期限时长
  • 特殊期限规定（如法官、仲裁员放宽证据提交期限）

Output Format

  1. 程序监控期限一览表

案件名称

某甲公司诉某乙公司侵权纠纷案案件

立案日期

xx年xx月xx日

传票送达日期

xx年xx月xx日

证据提交截止日

xx年xx月xx日

开庭日期

xx年xx月xx日

补充材料提交截止日

xx年xx月xx日

保全日期

xx年xx月xx日

续保截止日

xx年xx月xx日

判决书送达日期

xx年xx月xx日

上诉截止日

xx年xx月xx日

……

……

  1. 某一法律期限一览表（以证据提交期限为例）

证据提交期限一览表

当前日期：xx年xx月xx日

时间

案件名称

xx年xx月xx日

乙银行诉甲民间借贷纠纷案一审证据

xx年xx月xx日

丁公司债权纠纷案二审证据

xx年xx月xx日

……

  1. 近日期限一览表

近日期限一览表

当前日期：xx年xx月xx日

截止日期：xx年xx月xx日

时间

案件名称

xx年xx月xx日

乙银行诉甲民间借贷纠纷案一审证据提交期限

xx年xx月xx日

丁公司债权纠纷案保全续保期限

xx年xx月xx日

……

  1. 提醒信息

xxxx（前文）

注意：xx案件将于x日后（xx年xx月xx日）到达xx期限。

Example Usage

场景：给某一案件增加法定期限起始日

用户输入：“甲公司那个债权纠纷案子，3月2日收到了一审判决书”

SKILL处理流程：

  1. 案件名称匹配：某甲公司诉某乙公司债券纠纷案
  2. 识别工作任务：为已有案件增加法定期限截止日
  3. 检索《民事诉讼法》及相关司法解释相关规定，检索到《民事诉讼法》第171条
  4. 请用户确认“该案上诉期限将于3月17日届满“是否有误
  5. 经用户确认无误后，将该法定期限截止日期加入该案程序监控期限一览表，并向用户展示更新后的程序监控期限一览表

Scripts (if applicable)

  • script1.py: Description
  • script2.py: Description

Best Practices

  1. 如果用户一次性提及多个案件名称和截止日期，首先确认案件名称与日期之间的关联性，分案件依次进行梳理
  2. 如果检索到多个相关法条，无法确认法定期限，向用户询问补充信息（如是普通一审程序、简易程序还是小额诉讼程序）
  3. 当用户增加非法定期限时，需要向用户确认2次再写入一览表
  4. 在用户创建案件时，主动询问用户是否需要在法定期限截止日期5日之前（如10日、15日）设置额外提醒。

Limitations

  1. 本skill不处理案件关键地点的梳理
  2. 本skill不处理工作任务的分配
  3. 本skill不处理工作费用管理

Frequently asked questions

What does the Trial Scheduling And Deadline Monitoring AI skill do?

当用户需要跟踪、被提醒案件的开庭排期、执行排期、证据提交期限、上诉期限、送达期限、保全续保等各项法定期限时，使用此技能。 典型触发场景包括但不限于： - 提到"上诉期限""证据提交期限""送达期限""保全期限"等关键词 - 增加、修改、询问案件期限时

Why use Trial Scheduling And Deadline Monitoring on TypingMind?

Because you install it once and use it with any model. Trial Scheduling And Deadline Monitoring 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 Trial Scheduling And Deadline Monitoring in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/THUYRan/Legal-Skills-Chinese/tree/main/skills/trial-scheduling-and-deadline-monitoring. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Trial Scheduling And Deadline Monitoring?

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 Trial Scheduling And Deadline Monitoring?

As many as you like. As long as a model supports skills, you can use Trial Scheduling And Deadline Monitoring with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Trial Scheduling And Deadline Monitoring AI skill free?

It is published on GitHub by THUYRan. 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.

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