# ScholarMind

> Use this tool when you need to streamline academic research and paper analysis, as it solves problems related to information overload and knowledge retention by providing a comprehensive interface for searching, understanding, and organizing research papers, figures, and experiments. It takes in research queries, PDFs, and figures as inputs and outputs relevant paper summaries, knowledge graphs, and learning paths. Utilize ScholarMind in academic and research contexts to enhance productivity and reproducibility.

Canonical page: https://skillsregistry.net/skills/fengliangcheng-hfut-academicagent  
JSON: https://api.skillsregistry.net/v1/skills/fengliangcheng-hfut-academicagent

## Description

A multimodal academic research assistant for LLM Agent papers, enabling paper search, PDF/figure understanding, knowledge graph memory, learning paths, and reproducible experiments via MCP.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tjnttr1tgp)
- **Repository:** <https://github.com/FengLiangcheng-hfut/AcademicAgent>

## 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": "fengliangcheng-hfut-academicagent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fengliangcheng-hfut-academicagent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fengliangcheng-hfut-academicagent/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