An intelligent agent skill that analyzes uploaded templates to generate context-aware, import-ready sample data.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install generate-import-template-data
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 generate-import-template-data using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
This skill enables AI agents to process uploaded .xlsx, .csv, or .tsv templates and populate them with realistic business data. By integrating with Openclaw Skills, developers can quickly generate test datasets, initialization values, or edge-case scenarios that match the exact structure, headers, and sheet names of a target import file. It ensures data integrity by respecting existing formats, enumeration values, and business logic described by the user.
Using Openclaw Skills for data generation significantly reduces the manual effort required to prepare spreadsheets for system testing. The skill intelligently distinguishes between actual data sheets and instruction sheets, ensuring that the final output is ready for immediate import into enterprise applications.
To utilize this functionality within the Openclaw Skills framework, ensure the inspection scripts are accessible in your workspace.
# Inspect a template to identify headers and sheets
python scripts/inspect_template.py --input <template-file>
# Optional: Inspect a specific sheet with JSON output
python scripts/inspect_template.py --input data.xlsx --sheet "Sheet1" --json
The skill organizes data by strictly adhering to the input template's schema to ensure successful imports.
| Component | Description |
|---|---|
| Headers | Exact match of the original template column names including order. |
| Sheets | Preserves target sheet names for multi-sheet Excel workbooks. |
| Formats | Respects date, code, and identifier length constraints found in the template. |
| Values | Prioritizes realistic business data over generic placeholders. |
| Output | Delivers data via Markdown tables, CSV blocks, or new workspace files. |
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