expanso-json-to-csv
PDF & Documents
v1.0.0
Benign\
640 downloads640 installsby @aronchick
Setup & Installation
Install command
clawhub install aronchick/expanso-json-to-csvIf the CLI is not installed:
Install command
npx clawhub@latest install aronchick/expanso-json-to-csvOr install with OpenClaw CLI:
Install command
openclaw skills install aronchick/expanso-json-to-csvor paste the repo link into your assistant's chat
Install command
https://github.com/openclaw/skills/tree/main/skills/aronchick/expanso-json-to-csvWhat 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
- 1Exporting API response data to a spreadsheet
- 2Converting JSON log files for analysis in Excel
- 3Transforming database exports for reporting tools
- 4Preparing structured JSON data for CSV-based ETL pipelines
- 5Sharing JSON datasets with non-technical stakeholders
OUTPUT
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