A comprehensive skill for AI agents to perform cross-platform system operations and deep data intelligence.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install system-data-intelligence-skill
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 system-data-intelligence-skill 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 System Data Intelligence?
This skill empowers AI agents with the ability to bridge the gap between raw system files and actionable insights. By leveraging native system interfaces and advanced Python libraries, it allows for seamless interaction with office suites like Microsoft Excel, Word, and WPS Office.
Whether the task involves extracting hidden data, performing trend analysis, or generating professional visualizations, this Openclaw Skills module ensures robust execution across Windows, macOS, and Linux environments. It is designed to handle complex data lifecycles from initial file reading to final report generation.
System Data Intelligence Use Cases
- Automating the extraction and processing of data from legacy Excel, WPS, or Word documents.
- Performing multi-level data analysis including diagnostic, predictive, and prescriptive modeling.
- Generating interactive HTML dashboards and static PNG charts from raw CSV or JSON data.
- Managing cross-application data flows between system applications and specialized analysis tools.
How System Data Intelligence Works
- OS Identification: The skill identifies the host operating system to select the optimal interaction path, such as COM for Windows or AppleScript for Mac.
- Data Acquisition: It executes appropriate file parsers or system interfaces to load data from formats like .xlsx, .docx, or .pdf into a structured environment.
- Analytical Processing: The system applies deep analysis scripts to perform trend research, anomaly detection, and correlation studies.
- Visualization and Reporting: It triggers the visualization engine to create interactive reports and static charts.
- Standardized Output: All results are bundled into a timestamped directory containing structured JSON data, Markdown summaries, and visual assets.
System Data Intelligence Setup
To deploy this skill within your Openclaw Skills environment, ensure the necessary dependencies are installed based on your OS.
# Core Python dependencies
pip install pandas openpyxl python-docx xlwings
# Windows specific (for COM support)
pip install pywin32
# Linux specific (for headless conversion and fonts)
sudo apt install fonts-noto-cjk libreoffice-headless
System Data Intelligence Data Schema & Taxonomy
The skill organizes all generated intelligence into a structured output directory (outputs/report_YYYYMMDD_HHMMSS/):
| File Type | Format | Description |
|---|---|---|
| Analysis Result | JSON | Structured statistical data and insights. |
| Summary Card | Markdown | A punchy, 5-line summary of key findings. |
| Visual Dashboard | HTML | An interactive interface for data exploration. |
| Static Charts | PNG | High-resolution image exports for presentations. |
| Operation Log | Log | Records of API calls and data volume metrics. |
System Data Intelligence Advanced Features
- Multi-Path Execution: Specific logic branches for WIN-PATH, MAC-PATH, and LINUX-PATH to ensure native compatibility.
- Headless Conversion: Utilizing LibreOffice headless mode to process legacy .doc and .xls files on server environments.
- Automated Format Detection: A unified entry point that automatically detects and loads over 10 different file formats.
- Hierarchical Analysis: Built-in support for four levels of analysis: Descriptive, Diagnostic, Predictive, and Prescriptive.
SKILL.md
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