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Md Report Summary

CommunityPopular
xstongxue
md-report-summary

生成高质量 Markdown 周报、工作汇报、总结、介绍等文档。无草稿时从 Web 搜索并总结；有草稿时结合草稿整理、润色、补充。当用户提到周报、工作汇报、总结、介绍、述职、复盘时使用。

Overview

Publisherxstongxue
Repositorybest-skills
Skill namemd-report-summary
Stars
2.9K
Forks
201
Bundled files
1
LicenseApache-2.0
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.

  • 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 xstongxue on GitHub. Read the source before you install it.

Installation

Install the Md Report Summary 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.
  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/xstongxue/best-skills.git /tmp/best-skills
mkdir -p .claude/skills
cp -r /tmp/best-skills/skills/md-report-summary .claude/skills/md-report-summary
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Md Report Summary 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 Md Report Summary 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 Md Report Summary 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.

Markdown 周报 / 汇报 / 总结 / 介绍

一、任务识别

文档类型触发词
周报周报、本周总结、weekly report
工作汇报工作汇报、汇报材料、进度汇报
总结总结、复盘、阶段总结、项目总结
介绍介绍、简介、项目介绍、个人介绍

周报类型选择

识别到「周报」类任务后，先询问用户选择周报类型，再继续后续流程：

请选择周报类型（默认：结果导向周报）：

  1. 结果导向周报 — APB（默认）— Accomplishments · Plans · Blockers，量化结果 / 下步方向 / 需要的资源与协助，适合向上汇报或跨团队对齐
  2. 标准周报 — 3P Report — Progress · Plans · Problems，本周完成 / 进行中 / 下周计划 / 问题与风险，适合团队内部同步

用户未指定类型时，默认使用结果导向周报。用户选定后，按对应模板执行后续流程。

二、流程分支

情况执行
未提供草稿执行「三、无草稿流程」
已提供草稿执行「四、有草稿流程」

三、无草稿流程

  1. 确认信息：向用户确认主题、时间范围、受众、重点方向
  2. Web 搜索：用 WebSearch 搜索相关背景、行业进展、最佳实践（搜索结果仅作参考，不可直接照抄）
  3. 选模板：按 reference/templates.md 选择对应模板
  4. 撰写：按「六、写作质量标准」填充内容并输出

四、有草稿流程

  1. 读取草稿：读取用户粘贴的内容或文件路径中的草稿
  2. 分析草稿：识别结构完整性、遗漏点、可优化表述
  3. 整理输出：
  • 表格、列表、引用块、数据、图片全部原样保留，不删减、不概括
  • 图片引用 ![描述](路径) 路径不可修改，原样保留
  • 润色语句、理顺段落逻辑、补充过渡语
  • 缺失章节可用 WebSearch 补充，但需注明为补充内容
  1. 输出：整理后的完整 Markdown

五、通用原则

  • 不省略：有草稿时，原内容（表格、数据、图片、引用块）全部保留
  • 不编造：不虚构草稿中不存在的事实；搜索补充内容需概括性表述，不夸大
  • 图片原样：![描述](路径) 中的路径绝对不能修改
  • 格式统一：标题层级清晰，列表、表格按需使用，不滥用加粗

六、写作质量标准

高质量输出需满足以下要求：

内容层面

  • 有结论，不只有陈述：每个工作项应写清楚"做了什么 → 结果/进展如何"，而非只罗列动作
    • 🚫 差：完成了模型测试
    • 👍 好：完成 Qwen3.5-122B-A10B-AWQ 在 4×24G NVIDIA 环境下的高考模拟卷测试，错题率降至 1/18，推荐作为 NVIDIA 多卡方案首选
  • 数据具体：尽可能保留时间、数量、百分比等量化信息
  • 问题定位清晰：问题描述需包含"现象 → 根因 → 影响范围"三要素
  • 计划可执行：下周计划要具体，写清楚目标和预计时间，不写"继续推进"类空话

结构层面

  • 用小标题区分不同业务模块，避免将所有内容塞进一个列表
  • 多项工作优先用表格呈现对比（如模型测试结果），清晰直观
  • 重要结论或推荐可用**引用块（>）**突出

语言层面

  • 主动语态，简洁直接
  • 专业术语保留（如模型名称、参数名、配置规格），不转译成模糊表述
  • 同一事物前后用词一致

七、参考资源

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 Md Report Summary AI skill do?

生成高质量 Markdown 周报、工作汇报、总结、介绍等文档。无草稿时从 Web 搜索并总结；有草稿时结合草稿整理、润色、补充。当用户提到周报、工作汇报、总结、介绍、述职、复盘时使用。

Why use Md Report Summary on TypingMind?

Because you install it once and use it with any model. Md Report Summary 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 Md Report Summary in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/xstongxue/best-skills/tree/main/skills/md-report-summary. 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 Md Report Summary?

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 Md Report Summary?

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

Is the Md Report Summary AI skill free?

Yes. It is published on GitHub by xstongxue under the Apache-2.0 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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