A high-speed utility for transforming JSON, YAML, and TSV files into standardized CSV formats with automatic header detection.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install quickcsv
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 quickcsv 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 QuickCSV?
QuickCSV is a robust data transformation tool designed to eliminate the friction of manual data cleanup. By leveraging sophisticated parsing logic, it allows users to normalize disparate data sources like YAML and JSON into a flat, predictable CSV structure. This tool is essential for developers and data scientists who require a reliable bridge between nested configuration formats and tabular data analysis tools.
As a featured utility within the Openclaw Skills ecosystem, QuickCSV focuses on speed and accuracy. It automatically detects schema patterns in the source files, ensuring that the resulting CSV maintains data integrity without requiring complex configuration or external dependencies.
QuickCSV Use Cases
- Normalizing JSON API responses into tabular formats for spreadsheet analysis.
- Converting YAML configuration files into CSV for bulk auditing and reporting.
- Cleaning up TSV (Tab-Separated Values) datasets into standard Comma-Separated Values.
- Automating data pipelines where source formats vary across different research environments using Openclaw Skills.
How QuickCSV Works
- The tool ingests a source file (JSON, YAML, or TSV) via the command line interface.
- It performs an initial scan to identify the data structure and detect potential headers.
- The parser flattens nested objects (in JSON/YAML) or splits tab-delimited strings (in TSV).
- Data is mapped to a standardized row-and-column format based on the identified schema.
- The finalized CSV is either written to a specified output file or streamed directly to stdout for further piping.
QuickCSV Setup
To integrate this utility from the Openclaw Skills collection, install it via your preferred package manager and ensure your environment variables are configured for CLI access.
# Standard conversion usage
quickcsv input_file.json -o result.csv
# Convert and pipe directly to other tools
quickcsv input_file.yaml | grep 'filter_term'
QuickCSV Data Schema & Taxonomy
QuickCSV organizes output based on the following metadata and structural mapping:
| Feature | Description |
|---|---|
| Header Detection | Automatically extracts keys from JSON/YAML objects to create CSV columns. |
| Formatting | Enforces RFC 4180 compliance for all generated CSV files. |
| Delimiter Handling | Converts tabs and other common delimiters into standard commas. |
| Metadata | Supports --no-output-header flags to strip metadata for raw data ingestion. |
QuickCSV Advanced Features
- Support for stdout streaming, allowing QuickCSV to be used as a middleware component in larger Openclaw Skills automation scripts.
- Custom output flag management (
-o) for precise file system routing. - Header suppression toggle for simplified data appending in batch processing.
- Cross-format compatibility, allowing seamless transitions between structured config files and flat data tables.
SKILL.md
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