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Paper Registry Query

Community
Keming-Shen
paper-registry-query

面向 MotionSurf paper registry 的只读查询与统计入口。当用户想查看某篇论文的 canonical registry 条目、筛选缺 note / 有 markdown / 有 code 的论文、按 year / venue / provenance source 做过滤，或快速查看全库的资产覆盖率与稀疏分析字段统计时，优先使用这个 skill。它只读取 `ReadNote/Wiki/paper_registry.json`，不生成 note、不下载代码、不修改 registry。

Overview

PublisherKeming-Shen
RepositoryMotionSurf
Skill namepaper-registry-query
Stars
104
Forks
0
Bundled files
1
Links
Skill sourceRepository
  • 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 Registry Query 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.
    https://github.com/Keming-Shen/MotionSurf/tree/main/.claude/skills/paper-registry-query
  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/Keming-Shen/MotionSurf.git /tmp/MotionSurf
mkdir -p .claude/skills
cp -r /tmp/MotionSurf/.claude/skills/paper-registry-query .claude/skills/paper-registry-query
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paper Registry Query 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 Registry Query 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 Registry Query 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 Registry Query

你负责查询 MotionSurf 的论文注册表：

  • ReadNote/Wiki/paper_registry.json

适用场景

当用户有以下意图时使用本 skill：

  • 想查某一篇论文在 registry 里的 title / paths / status / provenance / analysis
  • 想筛选已经有 markdown 但还没有 note 的论文
  • 想看 code / note / markdown / pdf 覆盖率
  • 想按 year / venue / source 快速过滤论文集合
  • 想粗略查看 method_family、datasets、metrics 等分析字段的覆盖率与频次

以下情况不要把它当主工具：

  • 用户想生成或更新研究笔记：交给 paper-read-local 或 paper-read-batch
  • 用户想下载论文代码：交给 paper-hunter
  • 用户想重建 registry：交给 shared bootstrap / sync 流程，而不是这个查询 skill

输入原则

  1. 这是只读 skill，不写任何 registry 字段。
  2. 默认优先给用户最有用的 summary 或筛选结果，不输出整份 json。
  3. 对 analysis 稀疏字段要诚实汇报 coverage，不把未标注条目当成负例解读。
  4. 如果用户明确指定论文，应优先走单篇 resolve，而不是全文模糊列表。

推荐执行方式

bash
python ".claude/skills/paper-registry-query/scripts/query_registry.py"

常见模式：

bash
python ".claude/skills/paper-registry-query/scripts/query_registry.py" --paper "Human Motion Diffusion Model"
python ".claude/skills/paper-registry-query/scripts/query_registry.py" --has-markdown --missing-note --limit 20
python ".claude/skills/paper-registry-query/scripts/query_registry.py" --year 2024 --venue CVPR
python ".claude/skills/paper-registry-query/scripts/query_registry.py" --source survey_list --limit 30

输出要求

1. 单篇查询

当用户指定单篇论文时，输出该条目的：

  • title
  • paper_id
  • arxiv_id
  • year / venue
  • authors / aliases
  • paths
  • status
  • provenance
  • analysis

2. 列表筛选

当用户在做筛选时：

  • 先汇报匹配数量
  • 再按单行形式输出候选
  • 单行格式应包含：title、year、venue、状态简写

3. 汇总统计

当用户要 summary 时：

  • 输出 total、pdf / markdown / code / note 数量
  • 输出 markdown-but-missing-note 数量
  • 输出 top source / year / venue breakdown
  • 输出 analysis 字段 coverage 与高频标签

汇报要求

回复时简短说明：

  • 本次是单篇查询、筛选列表还是全局 summary
  • 结果里最关键的数量或命中项
  • 如果用户下一步显然会进入 note 生成或 code 下载，再提示应该切到哪个 skill

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 Registry Query AI skill do?

面向 MotionSurf paper registry 的只读查询与统计入口。当用户想查看某篇论文的 canonical registry 条目、筛选缺 note / 有 markdown / 有 code 的论文、按 year / venue / provenance source 做过滤，或快速查看全库的资产覆盖率与稀疏分析字段统计时，优先使用这个 skill。它只读取 `ReadNote/Wiki/paper_registry.json`，不生成 note、不下载代码、不修改 registry。

Why use Paper Registry Query on TypingMind?

Because you install it once and use it with any model. Paper Registry Query 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 Registry Query in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Keming-Shen/MotionSurf/tree/main/.claude/skills/paper-registry-query. 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 Registry Query?

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 Registry Query?

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

Is the Paper Registry Query 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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