Weekly Lab Update

Community

chtc66

weekly-lab-update

turn a week's paper reading, experiment progress, debugging notes, and next-step plans into a chinese weekly report, a chinese group-meeting outline, or an english brief when the user needs a concise lab update instead of a raw activity log.

Overview

Publisher	chtc66
Repository	`academic-skills`
Skill name	`weekly-lab-update`
Stars	364
Forks	27
Bundled files	4
License	MIT
Links	Skill source Repository

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.
4 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by chtc66 on GitHub. Read the source before you install it.

Installation

Install the Weekly Lab Update AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/chtc66/academic-skills/tree/main/weekly-lab-update
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.

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/chtc66/academic-skills.git /tmp/academic-skills
mkdir -p .claude/skills
cp -r /tmp/academic-skills/weekly-lab-update .claude/skills/weekly-lab-update

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Weekly Lab Update 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 Weekly Lab Update 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 Weekly Lab Update 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.

Weekly Lab Update

用这个 skill 把一周内的论文阅读、实验结果、失败排查和下周计划整理成周报、组会提纲和英文简版汇报。重点是突出结论、变化和待讨论问题，而不是记录流水账。

输出模式

中文周报
中文组会提纲
英文简版汇报

如果用户没有指定，默认输出中文周报，并附一版简短组会提纲。

工作流

先按“论文阅读”“实验进展”“当前问题”“下周计划”整理输入。
参考 references/weekly_report_template.md 生成中文周报。
参考 references/meeting_outline_template.md 生成中文组会提纲。
在需要英文短汇报时，参考 references/english_brief_template.md。

输入处理规则

接收本周读过的论文、本周实验结果、当前问题和下周计划。
如果输入更像碎片笔记，先归并同类项，再提炼结论。
如果一周内进展较少，也不要硬凑内容，明确写清当前卡点和需要讨论的问题。

输出规则

默认结构包括：
- 本周进展
- 论文阅读总结
- 实验结果总结
- 当前问题
- 下周计划
- 希望讨论的问题
不要写成按时间排序的流水账。
优先写“发生了什么变化、为什么重要、接下来怎么处理”。

证据与表述约束

不要夸大进展。
如果某些结论只是初步观察，直接标注“初步”或“待验证”。
如果实验失败较多，也要把失败经验整理成可讨论信息。

何时读引用文件

输出中文周报时读取 references/weekly_report_template.md。
输出组会提纲时读取 references/meeting_outline_template.md。
输出英文简报时读取 references/english_brief_template.md。

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 Weekly Lab Update AI skill do?

Why use Weekly Lab Update on TypingMind?

Because you install it once and use it with any model. Weekly Lab Update 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 Weekly Lab Update in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chtc66/academic-skills/tree/main/weekly-lab-update. 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 Weekly Lab Update?

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 Weekly Lab Update?

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

Is the Weekly Lab Update AI skill free?

Yes. It is published on GitHub by chtc66 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Weekly Lab Update

输出模式

工作流

输入处理规则

输出规则

证据与表述约束

何时读引用文件

Bundled files

Frequently asked questions

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