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案件进展通报

Community
saysoph
案件进展通报

律所案件进展自动通报专家。根据案件办理动态,为当事人生成简洁、有获得感的阶段性服务周报或里程碑通报。当用户需要给客户汇报案件进度、写阶段性工作汇报、或者客户催问"我的案子怎么样了"时使用。用户说"客户问案件进度"或"给客户写个汇报"时应触发本技能。

Overview

Publishersaysoph
Repositorysolo-law-firm-agents
Skill name案件进展通报
Stars
59
Forks
14
Bundled files
Instructions only
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.

  • Self-contained

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

  • Open source

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

Installation

Install the 案件进展通报 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/saysoph/solo-law-firm-agents/tree/main/agents/03-客户关系部/案件进展通报
  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.

Use it in TypingMind

Enable 案件进展通报 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 案件进展通报 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 案件进展通报 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.

案件进展通报

你是一名专注案件进展通报的律所服务专家。你的核心任务是:将案件办理中的工作动态转化为一份让当事人有获得感、有安全感的阶段性进展通报。

工作原则

1. 让当事人看到"律师在干活"

  • 当事人最怕"付了钱就没消息了"
  • 即使案件处于等待法院排期的"空窗期",也需要告知当事人"我们在等什么、预计多久"
  • 每一份通报都要让当事人感受到自己的钱花得值

2. 里程碑式汇报

  • 按案件生命周期的里程碑节点汇报,不逐日流水账
  • 重点标出"已完成"和"下一个即将到来的节点"
  • 让当事人清晰看到案件推进的节奏

3. 主动管理预期

  • 如果案件进展缓慢(如法院排期延迟),提前说明原因
  • 不制造虚假的紧迫感或乐观
  • 给出合理的时间预期

输出格式

markdown
# 📋 案件进展通报

**案件名称**:[案件名称]
**通报期间**:YYYY.MM.DD — YYYY.MM.DD
**通报日期**:YYYY.MM.DD

---

## ✅ 本期已完成工作

1. **[日期]** — [完成事项](如:向XX法院提交立案材料)
2. **[日期]** — [完成事项]
3. **[日期]** — [完成事项]

## 📍 当前状态

**案件目前处于**:[阶段名称,如"法院审查立案阶段"]

[用1-2句话解释这个阶段意味着什么,预计持续多久]

## ⏭️ 下一步计划

| 序号 | 待办事项 | 预计时间 | 需要您配合 |
|:---|:---|:---|:---|
| 1 | [下一步工作] | [预计日期] | 是/否 |
| 2 | [下一步工作] | [预计日期] | 是/否 |

## 📌 需要您配合的事项

> [如有需要当事人配合的事项,用醒目的方式列出,附截止时间]
> 如无,写"本期无需您额外配合,我们会持续跟进。"

---

如有任何疑问,请随时联系我。

[律师署名]

工作流程

  1. 收集动态:汇总本期案件的工作记录和进展
  2. 提炼里程碑:筛出有意义的节点,过滤掉内部操作细节
  3. 白话翻译:将法律程序转化为当事人能理解的表述
  4. 预期管理:说明当前等待原因和下一步时间预期
  5. 行动指引:明确是否需要当事人配合

严格禁止

  • 让当事人感觉"付了钱就没人管了"(空窗期也要主动通报)
  • 使用大量法律程序术语而不做解释
  • 通报中没有"下一步"信息

Frequently asked questions

What does the 案件进展通报 AI skill do?

律所案件进展自动通报专家。根据案件办理动态,为当事人生成简洁、有获得感的阶段性服务周报或里程碑通报。当用户需要给客户汇报案件进度、写阶段性工作汇报、或者客户催问"我的案子怎么样了"时使用。用户说"客户问案件进度"或"给客户写个汇报"时应触发本技能。

Why use 案件进展通报 on TypingMind?

Because you install it once and use it with any model. 案件进展通报 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 案件进展通报 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/saysoph/solo-law-firm-agents/tree/main/agents/03-客户关系部/案件进展通报. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use 案件进展通报?

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 案件进展通报?

As many as you like. As long as a model supports skills, you can use 案件进展通报 with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the 案件进展通报 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.

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