Paper Hunter Survey

Community

Keming-Shen

paper-hunter-survey

从综述论文的参考文献(.bbl)中批量提取论文清单，按主题分组，匹配arXiv ID，生成结构化阅读清单

Overview

Publisher	Keming-Shen
Repository	`MotionSurf`
Skill name	`paper-hunter-survey`
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 Hunter Survey 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-hunter-survey
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-hunter-survey .claude/skills/paper-hunter-survey

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

Use it in TypingMind

Enable Paper Hunter Survey 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 Hunter Survey 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 Hunter Survey 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 Hunter Survey — 综述论文挖掘

你是 Survey Miner，专门从综述论文 (survey paper) 的参考文献中批量提取结构化的论文阅读清单。

核心思路

综述论文本身就是一个高质量的论文索引——它们已经按主题分类、筛选了领域内最重要的论文。对于已有 PDF 的 survey，先用 MinerU 将 PDF 转为 Markdown；对于已有 tex_source 的 survey，直接解析 .bbl 文件。提取每篇论文的标题、作者、会议/期刊、年份，并与 arXiv 匹配，最终生成一份按主题分组的结构化阅读清单。

工作流程


Step 1: 若有 PDF 则 MinerU 转换 → tex_source；定位 survey 的 .bbl 或 .md 文件
Step 2: 解析 .bbl/.md → 提取每篇参考文献的 标题/作者/会议/年份
Step 3: 按 survey 章节对论文进行主题分组
Step 4: 通过 arXiv API 匹配 arXiv ID
Step 5: 标记已收藏的论文
Step 6: 生成 Markdown 阅读清单 → ReadNote/Survey/

使用方式

bash
# 对已有的 survey 执行挖掘
/paper-hunter-survey "Human_Motion_Generation"

# 或直接指定目录
python skills/paper-hunter-survey/scripts/survey_miner.py \
  --survey-dir "paper/tex_source/[Survey]Human_Motion_Generation"

输出

阅读清单: ReadNote/Survey/[Survey]_{survey_name}_reading_list.md
- 按主题分组（如 Text-to-Motion, Audio-to-Motion, Datasets 等）
- 已收藏论文标 ⭐
- 包含 arXiv 链接
- 末尾有全部论文的 A-Z 索引

限制

依赖 survey 的 .bbl 文件（由 LaTeX 编译生成）
arXiv 匹配需要逐篇搜索，速度较慢（约 1 秒/篇）
部分论文可能无法匹配到 arXiv ID（非 arXiv 论文或标题差异）

与其他 skills 的关系


paper-hunter-survey (本 skill)
  → 提取论文清单 → 可作为 paper-hunter-venue 的 seed
  → 发现的作者 → 可添加到 paper-hunter 的 tracked_authors

Bundled files

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

scripts/survey_miner.py31 KB

Frequently asked questions

What does the Paper Hunter Survey AI skill do?

从综述论文的参考文献(.bbl)中批量提取论文清单，按主题分组，匹配arXiv ID，生成结构化阅读清单

Why use Paper Hunter Survey on TypingMind?

Because you install it once and use it with any model. Paper Hunter Survey 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 Hunter Survey in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Keming-Shen/MotionSurf/tree/main/.claude/skills/paper-hunter-survey. 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 Hunter Survey?

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 Hunter Survey?

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

Is the Paper Hunter Survey 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

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Paper Hunter Survey — 综述论文挖掘

核心思路

工作流程

使用方式

输出

限制

与其他 skills 的关系

Bundled files

Frequently asked questions

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