# expanso-edge

> expanso-edge — aronchick-expanso-edge. Use this tool when you need to efficiently process large datasets for OpenClaw, enabling streamlined data pipelines and automated workflows. Expanso-edge solves problems related to data integration, transformation, and analysis, providing a robust interface for inputting raw data and outputting refined insights. Ideal for use cases requiring scalable and reliable data processing, expanso-edge simplifies complex data workflows.

Canonical page: https://skillsregistry.net/skills/aronchick-expanso-edge  
JSON: https://api.skillsregistry.net/v1/skills/aronchick-expanso-edge

## Description

Data processing pipelines for OpenClaw.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** devops-ci
- **Updated:** 2026-09-14

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/aronchick-expanso-edge)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aronchick-expanso-edge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aronchick-expanso-edge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aronchick-expanso-edge/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt