csvglow for Openclaw

csvglow converts tabular data into professional, interactive HTML dashboards with automated insights and visualizations.

ratnaditya-j
v0.1.0
Mar 2, 2026
0
851
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install csvglow

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install csvglow using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is csvglow?

csvglow is a powerful utility designed to bridge the gap between raw data files and actionable insights. By processing CSV, TSV, or Excel files, it generates a single, self-contained HTML dashboard featuring a modern dark gradient theme. It does more than just plot data; it analyzes it, providing narrative insights that cross-reference metrics to help developers and analysts identify trends and anomalies without manual configuration. This makes it an essential tool for those using Openclaw Skills to streamline their data exploration workflows.

The tool is designed for portability and speed, requiring no server or CDN to function. Every generated dashboard is offline-ready and includes a comprehensive suite of analytical tools, from correlation heatmaps to time-series analysis, ensuring that your data tells a complete story immediately upon execution.

csvglow Use Cases

  • Visualizing raw CSV or Excel datasets for quick review and exploration.
  • Generating professional, shareable reports for stakeholders without requiring complex BI software.
  • Exploring hidden data relationships through automatic correlation heatmaps and scatter plots.
  • Creating offline-ready data summaries for environments without reliable internet access.
  • Automating the generation of narrative insights for spreadsheet-based business metrics using Openclaw Skills.

How csvglow Works

  1. The user provides a CSV, TSV, or Excel file path to the command-line interface.
  2. csvglow auto-detects the specific data types, delimiters, and character encodings for the file.
  3. The engine calculates detailed summary statistics and identifies strong correlations between numeric columns.
  4. A narrative engine analyzes the data to produce multi-column insights based on detected patterns.
  5. The tool renders a variety of visualizations, including histograms, bar charts, and time-series line charts.
  6. A self-contained HTML file is output to the local directory and can be automatically opened in the default browser.

csvglow Setup

To start using this tool within your Openclaw Skills environment, ensure the binary is installed and run it against your data files.

# Generate a dashboard from a CSV and open it immediately
csvglow data.csv

# Process an Excel file and save it to a specific path
csvglow report.xlsx -o dashboard.html

# Run the tool without automatically opening the browser
csvglow data.csv --no-open

csvglow Data Schema & Taxonomy

The skill organizes data into a structured HTML report with the following metadata taxonomy:

Data Component Description
Input Formats Supports CSV, TSV, XLS, and XLSX file types
Statistics Includes mean, median, standard deviation, quartiles, and missing value counts
Visualizations Histograms, bar charts, categorical crosstabs, and time-series line charts
Advanced Analytics Correlation heatmaps and auto-generated scatter plots for
Data Preview A sortable, filterable table showing the first 1000 rows of the dataset
Portability Self-contained HTML with no external dependencies (works offline)

csvglow Advanced Features

  • Smart-sampling logic for datasets exceeding 100,000 rows to maintain high visualization performance.
  • Built-in MCP (Model Context Protocol) server support via csvglow --mcp for seamless AI agent integration.
  • Narrative multi-column analysis that cross-references different metrics to suggest business actions.
  • Automatic detection of date columns for instant time-series generation with area fill visuals.
  • Integrated "Copy" buttons for every chart to allow quick pasting into slide decks and documents.

SKILL.md


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