Paper Read Local

Community

Keming-Shen

paper-read-local

面向 MotionSurf 本地 tex_source 资产的单篇论文分析入口。当用户要求解读、总结、分析、阅读某一篇已经存在于 paper/tex_source 下的论文，或者希望为某一篇论文生成 ReadNote/ResearchPaper/<PaperName>/note.md 与 meta.json 时，优先使用这个 skill。它负责定位本地论文资产、调用遵循 readpaper-core 的 LLM 解读链路，并将生成结果落盘；论文语义内容不应由固定 Python 模板直接写死。

Overview

Publisher	Keming-Shen
Repository	`MotionSurf`
Skill name	`paper-read-local`
Stars	104
Forks	0
Bundled files	1
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.
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 Keming-Shen on GitHub. Read the source before you install it.

Installation

Install the Paper Read Local 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/Keming-Shen/MotionSurf/tree/main/.claude/skills/paper-read-local
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/Keming-Shen/MotionSurf.git /tmp/MotionSurf
mkdir -p .claude/skills
cp -r /tmp/MotionSurf/.claude/skills/paper-read-local .claude/skills/paper-read-local

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

Use it in TypingMind

Enable Paper Read Local 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 Read Local 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 Read Local 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 Read Local

你负责分析 MotionSurf 仓库中已经存在于 paper/tex_source/ 下的一篇论文，并将分析结果写入：

ReadNote/ResearchPaper/<PaperName>/note.md
ReadNote/ResearchPaper/<PaperName>/meta.json

适用场景

当用户有以下意图时使用本 skill：

想分析、阅读、总结某一篇本地已有论文
想把 paper/tex_source 中的一篇论文转成系统化研究笔记
想为后续知识同步准备单篇 note 与结构化 meta

以下情况不要把它当主工具：

用户要构建或刷新领域总览：交给 motion-overview
用户要联网搜索或下载论文：交给 hunter 类 skill
用户要做跨全库统计或论文关系图谱：交给未来的 registry / sync / hotspots skill

输入约束

当前 MVP 只依赖 repo 内本地文件，最少需要定位到：

paper/tex_source/<PaperDir>/*.md

如存在以下资源，可作为可选补充：

paper/code/<PaperDir>
同目录 images/

生成原则

严格以论文文本为准，不主观猜测。
统一遵循 readpaper-core skill 的分析规范；固定章节 contract 参考 readpaper-core/references/note_contract.md，检查清单参考 readpaper-core/references/checklist.md。
默认生成详尽、专业、中文研究笔记。
本阶段允许使用轻量 resolver：优先按用户给的标题、目录名或论文名去匹配 paper/tex_source/*/*.md。
note 与 meta 必须同时生成：note 面向阅读，meta 面向后续结构化同步。

输出要求

note.md 的章节组织应尽量对齐 readpaper-core/references/note_contract.md。

对于描述性章节（如研究动机、核心贡献、作者自述局限性），优先采用“中文归纳 + 对应英文原文摘录”的写法，方便读者核对证据来源。

当前可参考的质量范例：

ReadNote/ResearchPaper/HUMAN MOTION DIFFUSION MODEL/note.md

这个范例主要用于把握笔记的证据密度、方法解析粒度、图像锚定分析风格与边界表达；不要机械模仿其中针对 MDM 特有内容的结论。

`note.md` 至少包含

论文基本信息
研究问题与动机
核心贡献
方法解析
数据集与动作表示
实验结果分析
Supplementary 与代码对照
局限性与开放问题
在 T2M 生态位中的定位
对 MotionSurf 知识库的影响

`meta.json` 至少包含

paper_title
paper_dir
source_markdown
output_note
language
task_types
datasets
representation_keywords
method_family
overview_impact

汇报要求

回复时简短说明：

解析了哪篇论文
写入了哪些文件
当前 meta 中哪些字段仍然是轻量提取，后续需要 registry 或代码目录支撑

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

scripts/generate_research_note.py24 KB

Frequently asked questions

What does the Paper Read Local AI skill do?

Why use Paper Read Local on TypingMind?

Because you install it once and use it with any model. Paper Read Local 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 Read Local in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Keming-Shen/MotionSurf/tree/main/.claude/skills/paper-read-local. 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 Read Local?

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 Read Local?

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

Is the Paper Read Local AI skill free?

It is published on GitHub by Keming-Shen. Check the repository for licensing terms. 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