An automated CSV processing engine for construction data that handles encoding detection, delimiter parsing, and data cleaning.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install csv-handler
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 csv-handler 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 CSV Handler?
The CSV Handler is a robust utility designed for the Openclaw Skills ecosystem to bridge the gap between messy construction software exports and clean, actionable data. Construction professionals often struggle with inconsistent CSV formats from scheduling and cost tools; this skill automates the detection of encodings like UTF-8 or Latin-1 and delimiters like tabs or semicolons.
By leveraging powerful Python libraries, the skill provides a programmatic way to normalize data structures, sanitize headers, and ensure that every export is ready for high-level analysis or database ingestion without manual cleanup.
CSV Handler Use Cases
- Consolidating multiple monthly cost reports into a single unified database.
- Automatically converting project schedule exports into clean dataframes with standardized date formats.
- Cleaning currency symbols and formatting inconsistencies from estimate exports.
- Splitting master project files into individual category-based CSVs for distributed reporting.
How CSV Handler Works
- The handler scans the first few kilobytes of the file to identify the character encoding and the most probable delimiter.
- It creates a profile of the data, determining if headers exist and calculating the total record count.
- The file is loaded into a data frame while stripping unnecessary whitespace and skipping problematic lines.
- Column names are transformed into a clean, snake_case format for programmatic consistency.
- Specialized logic can then be applied to identify and format specific construction data types like dates and currency.
CSV Handler Setup
This skill requires Python 3 and the pandas and chardet libraries. Install them using the following command:
pip install pandas chardet
Once dependencies are installed, you can integrate the CSV Handler into your Openclaw Skills workflow to start processing exports automatically.
CSV Handler Data Schema & Taxonomy
The skill generates a metadata profile for every processed file:
| Field | Description |
|---|---|
| encoding | The detected character encoding (e.g., utf-8-sig) |
| delimiter | The detected separator (e.g., comma, pipe, tab) |
| columns | A list of sanitized, lowercase column headers |
| row_count | Total number of data rows detected |
Specialized handlers for costs and schedules also identify currency and date fields for automatic conversion.
CSV Handler Advanced Features
- Intelligent multi-file merging with automatic source file metadata tagging.
- Automated data type inference for construction-specific fields like 'task_id' or 'total_cost'.
- Currency symbol removal and float conversion for financial estimate data.
- Flexible splitting capabilities to generate sub-files based on specific data categories.
SKILL.md
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