expanso-json-flatten

CLI Utilities
v1.0.0
Benign

Flatten nested JSON objects.

585 downloads585 installsby @aronchick

Setup & Installation

Install command

clawhub install aronchick/expanso-json-flatten

If the CLI is not installed:

Install command

npx clawhub@latest install aronchick/expanso-json-flatten

Or install with OpenClaw CLI:

Install command

openclaw skills install aronchick/expanso-json-flatten

or paste the repo link into your assistant's chat

Install command

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

What This Skill Does

Flattens nested JSON objects into a single-level key-value structure. Runs as a CLI pipeline, an MCP server, or deploys to Expanso Cloud. Input is piped through the Expanso Edge runtime.

Avoids writing custom recursive flattening logic for arbitrarily nested JSON structures.

When to Use It

  • Normalizing nested API responses before loading into a database
  • Flattening config files to compare values across environments
  • Preprocessing webhook payloads for spreadsheet export
  • Simplifying nested log entries for log aggregation tools
  • Converting deeply nested objects into flat CSV rows
View original SKILL.md file
# json-flatten

Flatten nested JSON objects

## 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-flatten/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: Normalizing nested API responses before loading into a database

AGENT
  1. 1Normalizing nested API responses before loading into a database
  2. 2Flattening config files to compare values across environments
  3. 3Preprocessing webhook payloads for spreadsheet export
  4. 4Simplifying nested log entries for log aggregation tools
  5. 5Converting deeply nested objects into flat CSV rows
OUTPUT
Flatten nested JSON objects.

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Details

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Last updatedMar 1, 2026