Hxxra

# hxxra

This skill is a Research Assistant that helps users search, download, analyze, report, and save research papers.

## Recommended Directory Structure

For better organization, it is recommended to create a dedicated workspace for `hxxra` under your OpenClaw working directory:

```
📁 workspace/                              # OpenClaw current working directory
└── 📁 hxxra/
    ├── 📁 searches/                       # Stores all search result JSON files
        ├── 2025-03-07_neural_radiance_fields_arxiv.json
        ├── 2025-03-07_transformer_architectures_scholar.json
        └── ...
    ├── 📁 papers/                           # Stores downloaded PDF files and per-paper analysis results (each as a subfolder)
        ├── papers_report.md                # Generated Markdown report summarizing all analyzed papers
        ├── 2023_Smith_NeRF_Explained/      # Folder named after the PDF (without extension)
          ├── 2023_Smith_NeRF_Explained.pdf
          ├── analysis.json                 # Structured output from LLM analysis
          └── notes.md                      # (Optional) User-added notes
        ├── 2024_Zhang_Transformer_Survey/
          ├── 2024_Zhang_Transformer_Survey.pdf
          ├── analysis.json
          └── ...
        └── ...
    └── 📁 logs/ # Stores execution logs
        └── hxxra_2025-03-07.log
```

This structure keeps all related files organized and easily accessible for review and further processing.

## Core Commands

### 1. **hxxra search** - Search for research papers

**Dependencies**: `pip install scholarly`

**Purpose**: Search for papers using Google Scholar and arXiv APIs

**Academic Note**: To account for the distinct characteristics of each data source, the tool adopts a differentiated sorting strategy—**arXiv results are ordered by submission date in descending order**, prioritizing the timeliness of recent research; **Google Scholar results retain the source's default relevance ranking**, ensuring strong alignment w...