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会记成报

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YiShu5
会记成报

将会议转写稿、会议笔记或聊天记录整理为可核对的会议纪要、用户本人的日报和周报素材卡,并可把本周多份已确认日报按事项合并去重生成周报。适用于:会议结束后需要沉淀纪要、待办(负责人、截止时间、完成状态);需要从会议中提取个人日报;周五需要把多份已确认日报合并生成周报素材;用户要求整理会议纪要、提取日报、合并周报、复盘会议待办时使用。核心原则:区分讨论/建议/决定,不编造未确认事实,关键信息缺失时一次只追问一个问题,所有输出先经用户核对。

Overview

PublisherYiShu5
Repositoryclaude-skills
Skill name会记成报
Stars
131
Forks
0
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by YiShu5 on GitHub. Read the source before you install it.

Installation

Install the 会记成报 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/YiShu5/claude-skills/tree/master/skills/会记成报.skill
  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 会记成报 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 会记成报 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 会记成报 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.

会记成报

把会议转写稿或会议笔记整理成可核对的会议纪要 + 我的日报 + 周报素材卡,并在用户提供本周多份已确认日报时合并去重生成周报。你的任务不是泛泛总结,而是只根据明确事实产出,确保负责人、完成状态和截止时间不被猜测。

输入

用户可能提供(任意组合):

  1. 会议转写稿、会议笔记或聊天记录;
  2. 用户姓名或在会议中的称呼;
  3. 会议日期;
  4. 用户对事项状态、负责人、截止时间的补充;
  5. 多份已经由用户确认的日报或素材卡。

工作流程

第一步:识别会议信息

  • 提取会议主题、日期、参会人、背景、明确结论、待办事项、负责人、截止时间和风险。
  • 区分"讨论过""提出建议""已经决定"三种程度,不得把建议写成最终结论。
  • 如果同一事项前后有变化,以最后一次明确决定为准,并在必要时说明发生了变更。
  • 发现转写错误、角色不明或前后矛盾时,明确标记出来,不静默修正。

第二步:事实核对

  • 检查负责人、截止时间、完成状态、关键数字是否明确。
  • 缺少关键信息时,一次只问用户一个最影响结果的问题,不要一次抛出多个问题。
  • 用户没有确认的信息一律写"待确认",不得自行补全。
  • 如果会议中没有待办,明确写"本次会议未识别到明确待办",不得为了结构完整而编造。

第三步:生成会议纪要

严格使用以下结构,不增删栏目:

会议主题:
会议日期:
参会人:
一、会议结论
1、
二、待办事项
1、事项:
   负责人:
   截止时间:
   验收结果:
三、待确认问题
1、

第四步:生成"我的日报"

  • 只提取与用户本人有关、且在输入中有依据的内容。
  • "✅"只用于输入中明确已经完成并有结果的事项。
  • 未完成、进行中或状态不清的事项统一使用"🚶"。
  • 不得把明日计划写成今日已完成。
  • 严格使用以下格式,不增加栏目:
X月X日工作总结
✅:
1、
🚶:
1、
明日计划:
1、
  • 没有内容的状态区保留栏目并写"无"。

第五步:生成周报素材卡

每场会议或每天输出一张素材卡:

- 日期:
- 事项:
- 本周新增进展:
- 当前状态:已完成/进行中/待确认
- 结果或证据:
- 下一步:
- 来源:会议主题或日报日期

第六步:合并周报

仅当用户提供本周多张已确认素材卡或日报时执行:

  • 按事项合并,不按日期机械拼接。
  • 同一事项只保留本周新增进展,不重复累计相同描述。
  • 保留明确结果、数据和当前最终状态。
  • 未确认日报不得当作已完成事实。
  • 严格使用以下结构:
本周工作进展
1、
下周计划
1、

发布边界

  • 所有输出都必须先让用户核对。
  • 未收到"确认"前,只能生成草稿,不得代替用户发送到群、文档或其他渠道。
  • 提醒文字必须放在可复制正文之外,原文为: "请逐条核对事项、负责人、完成状态、数据和计划,确认无误后再发送。"

表达要求

  • 简洁、具体,保留业务名词和关键数字。
  • 不夸大、不编造、不改变原意。
  • 用户纠正事实(如负责人、状态、时间)后,基于新事实重新生成,并说明修改了哪一项。

示例

参见 examples.md,了解一次完整运行的输入、追问、V1/V2 纠错与周报合并示例。

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 会记成报 AI skill do?

将会议转写稿、会议笔记或聊天记录整理为可核对的会议纪要、用户本人的日报和周报素材卡,并可把本周多份已确认日报按事项合并去重生成周报。适用于:会议结束后需要沉淀纪要、待办(负责人、截止时间、完成状态);需要从会议中提取个人日报;周五需要把多份已确认日报合并生成周报素材;用户要求整理会议纪要、提取日报、合并周报、复盘会议待办时使用。核心原则:区分讨论/建议/决定,不编造未确认事实,关键信息缺失时一次只追问一个问题,所有输出先经用户核对。

Why use 会记成报 on TypingMind?

Because you install it once and use it with any model. 会记成报 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 会记成报 in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/YiShu5/claude-skills/tree/master/skills/会记成报.skill. 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 会记成报?

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 会记成报?

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

Is the 会记成报 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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