expanso

What This Skill Does

The Expanso skill integrates OpenClaw with your local Expanso Edge runtime, providing a powerful way to execute data processing pipelines directly on your machine. By bridging OpenClaw's natural language capabilities with Expanso's edge computing architecture, you can perform complex data transformations, AI analysis, and security tasks without your sensitive information ever leaving your local environment. This setup allows you to leverage a marketplace of 172+ pre-built skills, ranging from simple JSON formatting to complex PII redaction and audio transcription, all executed securely in a local, offline-capable environment.

Installation

To integrate this skill, follow these installation steps within your OpenClaw environment:

1. Execute the installation command: clawhub install openclaw/skills/skills/aronchick/expanso-edge.
2. Ensure you have the Expanso Edge runtime installed on your machine. You can do this via: curl -fsSL https://get.expanso.io/edge/install.sh | bash.
3. Install the Expanso CLI tool to manage your deployments via: curl -fsSL https://get.expanso.io/cli/install.sh | sh.
4. Connect your local machine to your Expanso Cloud organization using your unique Bootstrap Token obtained from the Expanso Cloud dashboard.
5. Authenticate and start your local edge agent by exporting the EXPANSO_EDGE_BOOTSTRAP_TOKEN environment variable and running the expanso-edge daemon. Once active, your machine will register as a secure compute node ready to receive tasks.

Use Cases

This skill is perfect for scenarios involving high-security data processing where compliance or privacy mandates prevent data from being sent to cloud-based AI providers. Common use cases include:

• Sensitive Data Handling: Redacting PII or identifying secrets in local documents before processing.
• High-Volume Data Transforms: Converting complex formats like CSV to JSON or filtering large arrays locally at scale.
• Offline AI Analysis: Using transcription or summarization models on local hardware where internet connectivity is limited or restricted.
• Secure Pipeline Automation: Deploying repeatable data cleanup scripts that trigger automatically as part of your local workflow.

Example Prompts

1. "Redact all personally identifiable information from the attached customer feedback text using the local pii-redact skill."
2. "Transform this raw local audit log into a clean, structured JSON format using the json-pretty pipeline."
3. "Summarize the content of the local meeting transcript file using the text-summarize tool on my edge node."

Tips & Limitations

• Security First: Since all processing happens locally, ensure your machine has the necessary hardware resources (CPU/RAM) to handle heavy AI tasks if you plan to run LLM-based skills.
• Deployment Latency: Initial deployment of a new skill pipeline requires an active connection to Expanso Cloud, but once deployed, the pipeline operates locally and offline.
• Maintenance: Periodically check your expanso-edge status to ensure your node is connected and that your pipeline versions are updated to the latest available versions on the Expanso marketplace.