A powerful integration for managing Levity's no-code AI platform, enabling automated document classification and data extraction via AI agents.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install levity
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install levity using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Levity?
Levity is a sophisticated no-code AI platform designed to empower business teams to automate complex tasks by training custom AI models on their own unique data. This skill allows AI agents to interact directly with the Levity ecosystem, providing programmatic access to workflows, models, and datasets without requiring manual intervention.
By leveraging the Membrane framework, this skill ensures that Openclaw Skills users can securely manage Levity Organizations, Pipelines, and Users. It bridges the gap between raw data and actionable AI insights, streamlining processes like sentiment analysis and data extraction through a unified command-line interface.
Levity Use Cases
- Automating document classification and sorting within business workflows.
- Extracting structured data from unstructured sources using custom-trained AI models.
- Managing Levity AI pipelines and monitoring item queues programmatically.
- Performing sentiment analysis on customer feedback at scale.
- Integrating no-code AI model outputs into broader automated development environments.
How Levity Works
- The AI agent authenticates with the Membrane tenant to establish a secure session.
- A connection is established to the Levity API using a specific connector ID managed by Membrane.
- The agent searches for available actions based on the user's intent (e.g., listing models or running a pipeline).
- Actions are executed with JSON parameters, or custom requests are sent via the Membrane proxy to reach specific Levity endpoints.
- Membrane handles the underlying authentication headers and credential refreshes transparently throughout the lifecycle.
Levity Setup
To get started with this skill, ensure you have the Membrane CLI installed. Follow these steps to configure your environment:
# Login to your Membrane tenant
npx @membranehq/cli@latest login --tenant
# Search for the Levity connector
npx @membranehq/cli@latest search levity --elementType=connector --json
# Create a new connection (use the connector ID from the search result)
npx @membranehq/cli@latest connect --connectorId=CONNECTOR_ID --json
Levity Data Schema & Taxonomy
The skill interacts with the following Levity entities through a structured hierarchy. Data is typically exchanged in JSON format via the Membrane CLI.
| Entity | Description |
|---|---|
| Workflow | The top-level automation structure containing logic and triggers. |
| Queue | Holds items pending processing by the AI model. |
| Model | The custom-trained AI engine used for classification or extraction. |
| Dataset | The underlying training or testing data used to refine models. |
| File | Individual assets processed by the Levity platform. |
| User | Access control and management for organization members. |
Levity Advanced Features
- Proxy Request Support: Execute direct API calls to Levity endpoints when pre-built actions do not meet specific requirements.
- Automatic Auth Lifecycle: Zero-touch credential management, ensuring long-running automations never fail due to expired tokens.
- Dynamic Intent Discovery: Use natural language intent queries to find the most efficient pre-built actions for a task.
- Headless Support: Full compatibility with remote servers and CI/CD environments via manual auth code completion.
SKILL.md
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