# AI Research Paper Assistant

> AI Research Paper Assistant — guntaasaneja-ai-research-paper-assistant. Use this tool when you need to understand complex AI and ML research papers, and want to ask questions about foundational concepts. It solves problems of information retrieval and knowledge gaps by providing retrieval-augmented generation and agentic layer capabilities for complex queries. The tool accepts natural language questions as input and returns relevant answers and explanations as output, making it ideal for researchers and students seeking to deepen their understanding of AI and ML fundamentals.

Canonical page: https://skillsregistry.net/skills/guntaasaneja-ai-research-paper-assistant  
JSON: https://api.skillsregistry.net/v1/skills/guntaasaneja-ai-research-paper-assistant

## Description

Enables asking questions about foundational AI/ML research papers, with retrieval-augmented generation and an agentic layer for complex queries, via MCP-compatible clients.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jnm8sctyoq)
- **Repository:** <https://github.com/guntaasaneja/ai-research-paper-assistant>

## 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": "guntaasaneja-ai-research-paper-assistant"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guntaasaneja-ai-research-paper-assistant` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guntaasaneja-ai-research-paper-assistant/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