# @skillmds/core

Source: https://glimind.com/server/npm%2F-skillmds%2Fcore
Registry id: `npm/-skillmds/core`
Status: unknown

## Install

```json
{
  "mcpServers": {
    "skillmds-core": {
      "command": "npx",
      "args": [
        "-y",
        "@skillmds/core"
      ]
    }
  }
}
```

Claude Code:

```sh
claude mcp add skillmds-core -- npx -y @skillmds/core
```

## Tools (9)

- `analyze_html_content`: Analyze HTML file structure and extract key information like headings, tables, and data sections. Useful for understanding report structure.
- `extract_and_visualize_qc_data`: Extract quality control data from FastQC reports and automatically generate appropriate visualizations. Perfect for QC analysis.
- `extract_fastqc_plots`: Extract key quality plots from FastQC reports. Returns images of per base quality, sequence quality, GC content, and adapter content plots.
- `generate_chart`: Generate charts from data extracted from FastQC/MultiQC reports or custom data. Supports 20+ chart types including line, bar, scatter, heatmap, box plot, and mo
- `list_fastq_files`: Find all FASTQ files in a directory. Supports .fastq, .fq, .fastq.gz, .fq.gz extensions.
- `parse_fastqc_summary`: Parse FastQC summary data from fastqc_data.txt file. Returns key quality metrics in structured format.
- `read_html_file`: Read and preview HTML files (FastQC/MultiQC reports). Returns the full HTML content that Claude can analyze and interpret.
- `run_fastqc`: Run FastQC quality control analysis on FASTQ files. Returns summary of quality metrics and path to HTML report.
- `run_multiqc`: Aggregate multiple FastQC reports into a single MultiQC report. Useful for comparing multiple samples.

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.