An automated data processing and insight analysis service for CSV, Excel, and JSON files.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-data-analysis
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
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).
Get the raw skill files in a ZIP archive.
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.
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"
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 |
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