A specialized toolset for parsing, cleaning, and transforming raw data into actionable insights and reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install rupert-data-analysis
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install rupert-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 Skill?
The Data Analysis Skill empowers your AI agent to handle sophisticated data processing tasks within the Openclaw Skills framework. By integrating this skill, users can move beyond basic data retrieval to perform deep-dive analysis, including metric calculation and anomaly detection. It is designed to work seamlessly with various data sources, providing a structured approach to business intelligence and automated data storytelling. As a core component of the Openclaw Skills library, it ensures that raw information is converted into high-value executive summaries and visualizations efficiently.
Data Analysis Skill Use Cases
- Extracting growth rates and ratios from financial spreadsheets for monthly reviews.
- Generating executive summaries from raw SQL query results during development.
- Identifying hidden trends and correlations in large JSON or CSV datasets.
- Creating automated dashboard layouts for recurring business operations and performance tracking.
How Data Analysis Skill Works
- Provide data via supported formats like CSV, JSON, or Google Sheets to the Openclaw Skills interface.
- The skill automatically parses and cleans the input data to ensure accuracy and consistency during processing.
- It calculates core metrics such as averages, percentages, and growth rates based on the specific user prompt.
- Statistical logic is applied to identify underlying trends, correlations, and potential anomalies within the dataset.
- The final output is delivered as a structured report, executive summary, or visualization suggestion for further presentation.
Data Analysis Skill Setup
To integrate this capability into your agent environment using Openclaw Skills, use the following installation command:
openclaw install data-analysis
Once installed, you can begin analyzing data by providing file paths or raw data snippets directly to your agent. Ensure you have the necessary permissions for SQL or Google Sheets integrations if you plan to analyze external data sources.
Data Analysis Skill Data Schema & Taxonomy
| Data Category | Details |
|---|---|
| Input Formats | CSV, JSON, Excel, Google Sheets, SQL queries |
| Metrics Engine | Averages, Percentages, Growth rates, Ratios, Correlations |
| Analysis Types | Trend identification, Anomaly detection, Correlation analysis |
| Output Types | Trend reports, Anomaly alerts, Dashboard layouts, Summaries |
Data Analysis Skill Advanced Features
- Cross-format data transformation and cleanup for disparate datasets.
- Automated executive summary generation tailored for Openclaw Skills users.
- Proactive anomaly detection and multi-variable correlation analysis.
- Presentation-ready report outlines and data story generation for rapid decision making.
SKILL.md
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