Paper Deep Note

Community

chtc66

paper-deep-note

produce a chinese deep reading note for a single academic paper when the input is a pdf, arxiv link, title with abstract, or paper excerpts and the user needs a grounded reading card, contribution summary, reproduction risks, or reading priority judgment.

Overview

Publisher	chtc66
Repository	`academic-skills`
Skill name	`paper-deep-note`
Stars	364
Forks	27
Bundled files	3
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.
3 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 Paper Deep Note 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/paper-deep-note
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/paper-deep-note .claude/skills/paper-deep-note

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

Use it in TypingMind

Enable Paper Deep Note 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 Paper Deep Note 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 Paper Deep Note 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.

Paper Deep Note

用这个 skill 处理单篇论文精读。优先输出中文精读卡，强调研究问题、方法、证据、局限和对当前研究的启发。

工作流

先判断输入证据级别：全文、局部正文、摘要、仅标题。
明确声明判断边界。
按 references/note_template.md 输出结构化精读卡。
在需要判断是否值得继续读时，参考 references/reading_guidelines.md。

输入处理规则

接收 PDF、arXiv 链接、标题加摘要、正文片段或用户自述笔记。
如果只有摘要或标题，明确写出“仅基于摘要判断”或“仅基于标题与摘要判断”。
如果实验设置、数据集、指标或结果未在输入中明确给出，直接标记为未知，不要补全想象内容。
如果用户给出的是局部正文，区分“原文明确给出”和“由局部内容推测”。

输出规则

默认输出完整精读卡。
如果用户只想快速筛论文，保留相同字段，但压缩每项长度。
在“优势”“局限”“复现难点”“启发”部分，优先给出和 AI / NLP / LLM / Agent / RAG / Safety 研究直接相关的判断。
在“是否值得精读”部分，只使用以下标签之一：
- 值得精读
- 值得速读
- 可暂缓

证据与表述约束

不要假装读过未提供的全文。
不要把论文 claim 直接改写成既定事实。
不要编造实验结果、消融结论、数据集细节或开源状态。
如果判断主要基于摘要，弱化关于方法细节和实验设计的断言。

何时读引用文件

始终读取 references/note_template.md 以保持输出结构稳定。
在判断阅读优先级、复现难点或阅读深度时，读取 references/reading_guidelines.md。

默认交付

默认给出长版中文精读卡。
如果信息不足，在卡片顶部先给出“输入覆盖范围说明”。

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 Paper Deep Note AI skill do?

Why use Paper Deep Note on TypingMind?

Because you install it once and use it with any model. Paper Deep Note 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 Paper Deep Note in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chtc66/academic-skills/tree/main/paper-deep-note. 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 Paper Deep Note?

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 Paper Deep Note?

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

Is the Paper Deep Note 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

Paper Deep Note

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

默认交付

Bundled files

Frequently asked questions

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