expanso-json-to-csv

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v1.0.0
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640 downloads640 installsby @aronchick

Setup & Installation

Install command

clawhub install aronchick/expanso-json-to-csv

If the CLI is not installed:

Install command

npx clawhub@latest install aronchick/expanso-json-to-csv

Or install with OpenClaw CLI:

Install command

openclaw skills install aronchick/expanso-json-to-csv

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/aronchick/expanso-json-to-csv

What This Skill Does

Converts a JSON array of objects into CSV format. Runs as a standalone CLI pipeline via stdin/stdout or as an MCP server using the Expanso Edge runtime.

Handles the conversion inline in a pipeline without writing custom scripts, and can be exposed as an MCP server for agent-driven workflows.

When to Use It

  • Exporting API response data to a spreadsheet
  • Converting JSON log files for analysis in Excel
  • Transforming database exports for reporting tools
  • Preparing structured JSON data for CSV-based ETL pipelines
  • Sharing JSON datasets with non-technical stakeholders
View original SKILL.md file
# json-to-csv

"Convert JSON array of objects to CSV format"

## Requirements

- Expanso Edge installed (`expanso-edge` binary in PATH)
- Install via: `clawhub install expanso-edge`

## Usage

### CLI Pipeline
```bash
# Run standalone
echo '<input>' | expanso-edge run pipeline-cli.yaml
```

### MCP Pipeline
```bash
# Start as MCP server
expanso-edge run pipeline-mcp.yaml
```

### Deploy to Expanso Cloud
```bash
expanso-cli job deploy https://skills.expanso.io/json-to-csv/pipeline-cli.yaml
```

## Files

| File | Purpose |
|------|---------|
| `skill.yaml` | Skill metadata (inputs, outputs, credentials) |
| `pipeline-cli.yaml` | Standalone CLI pipeline |
| `pipeline-mcp.yaml` | MCP server pipeline |

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Exporting API response data to a spreadsheet

AGENT
  1. 1Exporting API response data to a spreadsheet
  2. 2Converting JSON log files for analysis in Excel
  3. 3Transforming database exports for reporting tools
  4. 4Preparing structured JSON data for CSV-based ETL pipelines
  5. 5Sharing JSON datasets with non-technical stakeholders
OUTPUT
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Details

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Last updatedFeb 25, 2026