A high-performance utility for converting structured JSON data into accessible CSV formats.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install expanso-json-to-csv
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-json-to-csv 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 provides a streamlined method for transforming JSON arrays of objects into standardized CSV files. Whether you are working with API responses or local data stores, this addition to your library of Openclaw Skills ensures data compatibility across spreadsheets and legacy systems. It bridges the gap between modern developer formats and traditional business intelligence tools by automating the extraction and flattening of nested object properties.
Designed for speed and reliability, this tool handles the heavy lifting of data reformatting. By leveraging Openclaw Skills, developers can integrate this conversion logic directly into their automated pipelines or AI agent workflows, significantly reducing the time spent on manual data preparation.
First, ensure you have Expanso Edge installed. You can install it using the following command:
clawhub install expanso-edge
To run the tool as a standalone CLI pipeline, use:
echo '<input_json>' | expanso-edge run pipeline-cli.yaml
For integration with AI agents as an MCP server, run the following to start the service:
expanso-edge run pipeline-mcp.yaml
The skill relies on specific YAML configuration files to define the transformation logic and metadata. Like many Openclaw Skills, it uses a modular file structure:
| File | Description |
|---|---|
skill.yaml |
Contains metadata, inputs, outputs, and required credentials. |
pipeline-cli.yaml |
Defines the logic and steps for standalone command-line usage. |
pipeline-mcp.yaml |
Configures the Model Context Protocol (MCP) server integration for AI agents. |
Loading
A streamlined utility for pretty-printing and indenting raw JSON data for improved readability.

A high-performance utility designed to transform hierarchical JSON data into simplified flat maps for better data portability.

An AI-powered skill for automated email categorization, response drafting, and calendar synchronization.

A powerful security utility designed to scan Software Bill of Materials (SBOM) for known CVE vulnerabilities using automated pipelines.

A high-performance utility designed to convert JSON objects into clean, human-readable YAML format through CLI pipelines or MCP servers.

A robust utility for validating JSON syntax and structural integrity via CLI or MCP interfaces.








































