A comprehensive tool for managing AWS Lambda serverless functions, including deployment, invocation, and real-time log monitoring.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install aws-lambda
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 aws-lambda using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The AWS Lambda skill is a specialized integration designed to manage serverless compute resources directly through an AI-driven workflow. It provides a bridge between your development environment and Amazon Web Services, allowing for the lifecycle management of Lambda functions without switching contexts. By utilizing Openclaw Skills, developers can automate the deployment of code packages, configure runtimes, and handle IAM roles with high efficiency.
This skill is built for performance and reliability, ensuring that cloud-native applications can be updated and tested rapidly. Whether you are managing a single function or a complex event-driven architecture, this skill simplifies the interaction with AWS CLI and API endpoints to provide a streamlined serverless experience within the Openclaw Skills framework.
To enable the AWS Lambda skill within your Openclaw Skills environment, you must first configure your AWS credentials. Export the following variables in your terminal:
export AWS_ACCESS_KEY_ID="your_aws_access_key"
export AWS_SECRET_ACCESS_KEY="your_aws_secret_key"
export AWS_REGION="your_preferred_region"
Ensure that the AWS CLI is installed on your system and that the provided IAM user has the necessary permissions (LambdaFullAccess or equivalent) to manage these resources.
The skill manages metadata and function configuration through the following schema:
| Property | Description |
|---|---|
| Function Name | The unique identifier for the Lambda resource |
| Runtime | The execution environment (e.g., nodejs18.x, python3.9) |
| Handler | The entry point for the function code |
| Role ARN | The Amazon Resource Name for the IAM execution role |
| Payload | JSON-formatted input data for function triggers |
| Output | The result of a function invocation saved as a .json file |
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