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Extract Paper Images

CommunityPopular
juliye2025
extract-paper-images

从 arXiv ID/link、公开直接 PDF URL 或本地论文 PDF 提取架构图、方法图和实验图,保存到 Obsidian images 目录并生成索引。Use when the user asks to extract figures or another research skill needs embeddable images.

Overview

Publisherjuliye2025
Repositoryevil-read-arxiv
Skill nameextract-paper-images
Stars
1.7K
Forks
165
Bundled files
2
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.

  • 2 bundled files

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

  • Open source

    Published by juliye2025 on GitHub. Read the source before you install it.

Installation

Install the Extract Paper Images 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/juliye2025/evil-read-arxiv.git /tmp/evil-read-arxiv
mkdir -p .claude/skills
cp -r /tmp/evil-read-arxiv/extract-paper-images .claude/skills/extract-paper-images
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Extract Paper Images 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 Extract Paper Images 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 Extract Paper Images 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.

提取研究文档图片

输入识别

  1. 将当前 SKILL.md 的父目录视为
  2. 从 OBSIDIAN_VAULT_PATH 解析 ;缺失时要求用户提供 Vault 路径。
  3. 接受:
    • 合法 arXiv ID、arXiv:ID 或 arxiv.org 链接;
    • 返回 PDF 内容的公开 HTTP(S) URL;
    • 已存在的本地 PDF。
  4. 非 arXiv 网页不能直接传给图片脚本。先使用 paper-analyze/scripts/resolve_source.py;若其返回 selected_pdf_url 或 local_pdf,再传该值。
  5. 确认输出目录位于 /20_Research/Papers///images。已有图片默认保留,除非用户要求刷新。

执行

<python> "<skill-dir>/scripts/extract_images.py" "<arxiv-id-or-pdf-url-or-local-pdf>" "<images-dir>" "<images-dir>/index.md"

脚本自动执行:

  • arXiv:源码图片优先,源码中的 figure PDF 次之,论文 PDF 回退。
  • 直接 PDF URL:下载到临时目录后从 PDF 提取。
  • 本地 PDF:直接提取,不进行网络访问。

验证

  1. 确认 index.md 中的文件实际存在。
  2. 优先架构、方法、主结果与消融图,过滤 logo、小图标和重复内容。
  3. 检查 PNG 可读性;裁剪错误或文本过小时不要推荐嵌入。
  4. 返回目录、索引、数量和 3–5 张最有价值的文件名。
  5. Obsidian 使用 ![[filename.png|800]]。

失败处理

  • URL 返回 HTML 而非 PDF:停止并提示先运行来源解析器,不把 URL 当 arXiv ID。
  • 公开下载失败:报告 HTTP 状态或内容类型,不尝试登录或绕过访问控制。
  • 输出路径越出 Vault:停止。
  • 不删除已有图片,不把临时下载留在 Vault。

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 Extract Paper Images AI skill do?

从 arXiv ID/link、公开直接 PDF URL 或本地论文 PDF 提取架构图、方法图和实验图,保存到 Obsidian images 目录并生成索引。Use when the user asks to extract figures or another research skill needs embeddable images.

Why use Extract Paper Images on TypingMind?

Because you install it once and use it with any model. Extract Paper Images 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 Extract Paper Images in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/juliye2025/evil-read-arxiv/tree/main/extract-paper-images. 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 Extract Paper Images?

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 Extract Paper Images?

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

Is the Extract Paper Images AI skill free?

It is published on GitHub by juliye2025. 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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