# ResearchX

> ResearchX — xingguangyan-researchx. Use this tool when you need to streamline your scientific research workflow and manage the full lifecycle of AI research projects. ResearchX assists with literature-driven research, providing an operating system for AI research that integrates with git for version control. It solves problems related to research organization, collaboration, and reproducibility, accepting research inputs and outputting organized findings and insights.

Canonical page: https://skillsregistry.net/skills/xingguangyan-researchx  
JSON: https://api.skillsregistry.net/v1/skills/xingguangyan-researchx

## Description

ResearchX — AI Research Operating System. Literature-driven AI research assistant for full scientific lifecycle.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/xingguangYan/ResearchX)

## 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": "xingguangyan-researchx"
    }
  }
}
```

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