# arxivkb

> arxivkb — camopel-arxivkb. Use this tool when you need to efficiently manage and search local collections of arXiv papers, leveraging semantic search to quickly find relevant research. It solves problems of information overload and tedious manual searching, providing a streamlined interface for inputting paper collections and outputting relevant results. Ideal for researchers and academics looking to organize and discover new papers in their field.

Canonical page: https://skillsregistry.net/skills/camopel-arxivkb  
JSON: https://api.skillsregistry.net/v1/skills/camopel-arxivkb

## Description

Local arXiv paper manager with semantic search.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-24

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-09-14

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/camopel-arxivkb)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "camopel-arxivkb"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/camopel-arxivkb` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/camopel-arxivkb/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt