arxiv-search — arxiv paper search arxiv-search, internbot, community, arxiv paper search, ide skills, Claude Agent SDK, Slack bot agent, research lab automation, TypeScript implementation, mcp__arxiv__search command

v1.0.0

About this Skill

Ideal for Research Agents requiring arXiv paper search and summarization capabilities. arxiv-search is a TypeScript-based Slack bot agent for research labs, utilizing Claude Agent SDK for efficient paper searches and summaries

Features

Utilizes mcp__arxiv__search for topic-based searches
Supports searches by title, author, or topic
Handles arxiv URL or ID input (e.g., 2301.07041)
Enables searching multiple angles for weak results
Implemented with Claude Agent SDK in TypeScript

# Core Topics

jusjinuk jusjinuk
[1]
[0]
Updated: 3/5/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Locale and body language aligned
Review Score
8/11
Quality Score
35
Canonical Locale
en
Detected Body Locale
en

Ideal for Research Agents requiring arXiv paper search and summarization capabilities. arxiv-search is a TypeScript-based Slack bot agent for research labs, utilizing Claude Agent SDK for efficient paper searches and summaries

Core Value

Empowers agents to efficiently search and summarize papers by title, author, or topic using the arXiv API, providing users with relevant research findings and enabling them to stay up-to-date with the latest developments in their field through natural language queries and Claude Agent SDK integration.

Ideal Agent Persona

Ideal for Research Agents requiring arXiv paper search and summarization capabilities.

Capabilities Granted for arxiv-search

Searching for papers by specific authors or topics
Summarizing research papers shared via arxiv URL or ID
Finding recent papers in a particular field of study

! Prerequisites & Limits

  • Requires Claude Agent SDK implementation
  • Limited to arXiv paper database

Why this page is reference-only

  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is arxiv-search?

Ideal for Research Agents requiring arXiv paper search and summarization capabilities. arxiv-search is a TypeScript-based Slack bot agent for research labs, utilizing Claude Agent SDK for efficient paper searches and summaries

How do I install arxiv-search?

Run the command: npx killer-skills add jusjinuk/internbot. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for arxiv-search?

Key use cases include: Searching for papers by specific authors or topics, Summarizing research papers shared via arxiv URL or ID, Finding recent papers in a particular field of study.

Which IDEs are compatible with arxiv-search?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for arxiv-search?

Requires Claude Agent SDK implementation. Limited to arXiv paper database.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add jusjinuk/internbot. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use arxiv-search immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

arxiv-search

Install arxiv-search, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

ArXiv Paper Search & Summarize

When to use

  • User asks about a paper by title, author, or topic
  • User shares an arxiv URL or ID (e.g., 2301.07041)
  • User asks "what's new in [field]?" or "find papers on [topic]"

Workflow

Searching by topic

  1. Use mcp__arxiv__search with a well-crafted query
    • Combine keywords: "transformer attention mechanism efficiency"
    • Use field-specific terms, not casual language
    • Search multiple angles if the first query returns weak results
  2. Filter results by relevance — skip papers that only tangentially match

Fetching a specific paper

  1. Extract the arxiv ID from URL or text (e.g., 2301.07041 from https://arxiv.org/abs/2301.07041)
  2. Use mcp__arxiv__get_paper to fetch full metadata

Summarizing

For each paper, provide:

  • Title and authors (first author et al. if many)
  • Core problem: what gap or question does this address?
  • Method: the key technical approach in 1-2 sentences
  • Results: quantitative results where available (e.g., "achieves 94.2% on ImageNet, +2.1% over baseline")
  • Limitations: what the paper doesn't address or where it falls short
  • Why it matters: one sentence on significance for the user's question

Formatting for Slack

  • Use plain text, no markdown headers (Slack doesn't render them)
  • Separate papers with blank lines
  • Include arxiv links: https://arxiv.org/abs/{id}
  • Keep each summary to 4-6 lines — users can ask for deeper dives on specific papers
  • If returning multiple papers, number them and put the most relevant first

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