Fangpian Facechat Export logo

Fangpian Facechat Export

Community
YiShu5
fangpian-facechat-export

方片企业微信面聊转写导出。用户说「导出面聊转写」「导出这场面聊」「把面聊整理成文字给会议系统」时使用:把指定那场企业微信面聊的转写,按固定格式整理成一份 Markdown(逐句带时间和发言人真名、原文照抄),存进微盘文件夹「会议系统·面聊转写」,供会议纪要系统每晚导入。面试、谈薪酬、绩效面谈、辞退沟通和私人谈话也导出,但必须标明类型。

Overview

PublisherYiShu5
Repositoryclaude-skills
Skill namefangpian-facechat-export
Stars
131
Forks
0
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 YiShu5 on GitHub. Read the source before you install it.

Installation

Install the Fangpian Facechat Export 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/YiShu5/claude-skills/tree/master/skills/方片/fangpian-facechat-export
  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 Fangpian Facechat Export 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 Fangpian Facechat Export 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 Fangpian Facechat Export 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.

方片面聊转写导出(fangpian-facechat-export)

把一场企业微信面聊的转写,整理成会议纪要系统能直接读的固定格式 Markdown。系统每晚把它对上会议室录音那场会,换成带发言人真名的转写,纪要、卡点、待办就能写到具体的人。

格式是系统按行读的,一个字段都不能改名、不能多加内容。

一、全部导出,人事类必须标类型

所有面聊都导出,包括面试、谈薪酬、绩效面谈、辞退沟通和私人谈话。这几类必须在「类型」里写清楚:会议纪要系统会把它们当保密会,只给管理员看,不进日报和群消息。

因为人事类内容也会存进「会议系统·面聊转写」,这个微盘文件夹只能给上传人和搬运账号权限。

二、文件名

日期_开始时间_会议标题.md,例如 2026-10-22_2130_AI商业化与创新机制.md。

  • 开始时间 4 位数字,不带冒号;
  • 标题里的 / \ : * ? " < > | 换成 -。

三、文件内容(严格按这个格式)

不要加别的标题、说明、总结、表格:

markdown
# 会议标题
- 日期:YYYY-MM-DD
- 时间:HH:MM–HH:MM
- 会议室:开会的会议室名字
- 发起人:发起人姓名
- 参会人:姓名、姓名、姓名
- 类型:普通

## 转写
[HH:MM:SS] 姓名:这句话的原文
[HH:MM:SS] 姓名:这句话的原文
  • 类型:只写一个,从「普通 / 面试 / 谈薪酬 / 绩效面谈 / 辞退沟通 / 私人谈话」里选;拿不准就问用户。

  • 会议室:写开会所在会议室的名字,例如 2F 正心正念;不在会议室、纯线上就写 线上;不知道就先问用户,不要猜。

  • 时间:面聊开始到结束,用 – 连接。

四、转写部分的规则

  1. 一句一行,按时间先后;时间是这句话开始说的时刻,精确到秒。
  2. 「姓名」用企业微信里的显示名,可以带括号花名,例如 于静平 (吉米);不知道是谁说的写 未识别,不要猜。
  3. 原文照抄:不改写、不总结、不润色、不删减,口头语和错字也保留;听不清的地方写 [听不清]。
  4. 不要给转写加任何评论或标注。

五、存好以后

存进微盘文件夹「会议系统·面聊转写」,然后告诉用户:

  • 文件名、一共多少句、几位发言人;
  • 如果会议室是 线上 或不确定,提醒一句:「这场对不上会议室录音,系统会先记下来,不会进当天的会议纪要」。

示例

markdown
# AI商业化与创新机制
- 日期:2026-10-22
- 时间:21:30–22:40
- 会议室:2F 正心正念
- 发起人:刘毅凯
- 参会人:于静平、张振东
- 类型:普通

## 转写
[21:54:03] 于静平 (吉米):你去尝试怎么跟他聊,什么样的博主可以破冰。
[21:54:10] 张振东:理论上,财务不需要吧?
[21:55:02] 于静平 (吉米):好哥已对接财务。

Frequently asked questions

What does the Fangpian Facechat Export AI skill do?

方片企业微信面聊转写导出。用户说「导出面聊转写」「导出这场面聊」「把面聊整理成文字给会议系统」时使用:把指定那场企业微信面聊的转写,按固定格式整理成一份 Markdown(逐句带时间和发言人真名、原文照抄),存进微盘文件夹「会议系统·面聊转写」,供会议纪要系统每晚导入。面试、谈薪酬、绩效面谈、辞退沟通和私人谈话也导出,但必须标明类型。

Why use Fangpian Facechat Export on TypingMind?

Because you install it once and use it with any model. Fangpian Facechat Export 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 Fangpian Facechat Export in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/YiShu5/claude-skills/tree/master/skills/方片/fangpian-facechat-export. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Fangpian Facechat Export?

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 Fangpian Facechat Export?

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

Is the Fangpian Facechat Export AI skill free?

Yes. It is published on GitHub by YiShu5 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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