A specialized utility designed to transform raw CSV data into clean, structured JSON arrays for seamless application integration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install expanso-csv-to-json
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 expanso-csv-to-json using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The CSV to JSON skill is a robust data transformation tool designed to bridge the gap between tabular data formats and modern JSON-based architectures. As a key component within the Openclaw Skills ecosystem, it allows developers to automate the conversion process, ensuring that data exported from spreadsheets or legacy databases is immediately usable in web applications, APIs, and modern development pipelines.
This skill is built for performance and flexibility, offering multiple execution modes including standalone CLI pipelines and MCP server integration. By utilizing this skill, teams can reduce the manual overhead of data formatting and ensure high consistency across their data ingestion workflows.
To get started with this skill, you must have Expanso Edge installed and configured in your environment.
# Install the required engine
clawhub install expanso-edge
# Run the skill as a standalone CLI pipeline
echo '<your-csv-data>' | expanso-edge run pipeline-cli.yaml
# Deploy as an MCP server for AI agent integration
expanso-edge run pipeline-mcp.yaml
The skill manages its transformation logic and metadata through a specific set of configuration files designed for the Openclaw Skills framework:
| File | Role |
|---|---|
skill.yaml |
Contains core metadata, including input/output definitions and required credentials. |
pipeline-cli.yaml |
Defines the logic for running transformations in a standard command-line environment. |
pipeline-mcp.yaml |
Configures the Model Context Protocol (MCP) server for real-time interaction with AI agents. |
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