A professional integration for AI21 Labs that enables seamless text generation, summarization, and NLP task automation via the Membrane CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai21-labs
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install ai21-labs using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AI21 Labs skill provides a high-performance bridge between your development environment and AI21's advanced language models. By leveraging Openclaw Skills, developers can integrate sophisticated natural language processing capabilities into their workflows without the overhead of manual credential management. This integration handles the complexities of authentication and token refreshing, allowing for consistent access to AI21's Jurrasic models for text completion and data processing.
Built on top of the Membrane framework, this skill prioritizes security and efficiency. It provides a standardized way to interact with the AI21 Studio API, ensuring that your AI agents can perform complex linguistic tasks with minimal latency and high reliability.
Install the required CLI tool globally via npm:
npm install -g @membranehq/cli@latest
Authenticate your environment (specify your agent type for optimized performance):
membrane login --tenant --clientName=openclaw
Establish a connection to the AI21 Labs service:
membrane connection ensure "https://www.ai21.com/" --json
Verify the connection is ready before proceeding:
npx @membranehq/cli connection get <id> --wait --json
The skill organizes interaction data and metadata according to the following structure:
| Attribute | Type | Description |
|---|---|---|
| connectionId | String | Unique identifier for the authenticated AI21 Labs session. |
| actionId | String | The specific model or NLP task to be executed (e.g., completion). |
| inputSchema | JSON | Definition of parameters like prompts, temperature, and token limits. |
| outputSchema | JSON | The structured response containing model-generated content. |
| state | Enum | The lifecycle status of the connection (READY, BUILDING, or ERROR). |
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