Data Analysis Service for Openclaw

An automated data processing and insight analysis service for CSV, Excel, and JSON files.

arthasking123
v1.0.0
Feb 20, 2026
3
6.8k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install ai-data-analysis

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 ai-data-analysis 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 Data Analysis Service?

The Data Analysis Service is a comprehensive tool within the Openclaw Skills ecosystem designed to streamline the entire lifecycle of data handling. It allows developers and data analysts to automate repetitive tasks such as cleaning raw datasets, performing complex statistical transformations, and extracting actionable insights without manual intervention. By integrating this skill into your development workflow, you can transform messy raw data into structured, visual, and ready-to-use business intelligence.

Built for speed and accuracy, this skill leverages advanced algorithms to detect trends and anomalies across various file formats. Whether you are managing financial records or system logs, the Data Analysis Service provides a professional-grade interface to handle data at scale within the framework of Openclaw Skills.

Data Analysis Service Use Cases

  • Automating the cleaning and formatting of messy CSV datasets for machine learning models.
  • Generating monthly sales trend reports from raw Excel spreadsheets for business reviews.
  • Identifying anomalies and outliers in financial records or system performance logs.
  • Transforming complex JSON data into professional PDF or HTML reports for stakeholders.
  • Quick visualization of metrics through automated chart generation during the development phase.

How Data Analysis Service Works

  1. Provide your raw dataset in CSV, Excel, or JSON format to the Openclaw Skills execution environment.
  2. Define the specific action required, such as data cleaning, trend analysis, or predictive modeling.
  3. The skill processes the data using statistical engines to identify patterns, outliers, and key metrics.
  4. Visual charts are automatically generated based on the processed data to provide a clear overview.
  5. The final output is exported in your chosen format, such as a Markdown report, a PDF document, or a structured JSON file.

Data Analysis Service Setup

To begin using this tool within the Openclaw Skills framework, ensure you have the CLI installed and configured. Follow these steps:

# Verify your OpenClaw installation
openclaw --version

# Run a basic analysis on a CSV file
openclaw run data-analysis --file data.csv --analysis "sales_trends"

# Clean a dataset and export to JSON
openclaw run data-analysis --file data.csv --action "clean" --format "json"

Data Analysis Service Data Schema & Taxonomy

The Data Analysis Service organizes data through a structured pipeline to ensure clarity and reproducibility. Below is the metadata and file organization taxonomy used by this entry in the Openclaw Skills library:

Data Component Description Supported Formats
Input Source Raw data files provided by the user .csv, .xlsx, .json
Processed Data Cleaned or transformed datasets .csv, .json
Visualizations Generated charts and graphs .png, .svg
Final Reports Comprehensive analysis summaries .md, .pdf, .html
Action Logs Detailed record of transformations applied .log

Data Analysis Service Advanced Features

  • Multi-format compatibility supporting complex Excel workbooks and nested JSON structures.
  • Advanced statistical modes including trend identification, comparative analysis, and predictive forecasting.
  • Automated chart library integration for generating bar, line, and scatter plots instantly.
  • Customizable report templates to match enterprise branding and documentation standards.
  • High-performance batch processing for handling multiple large datasets through Openclaw Skills commands.

SKILL.md


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