AWS Lambda for Openclaw

A comprehensive tool for managing AWS Lambda serverless functions, including deployment, invocation, and real-time log monitoring.

mrgoodb
v1.0.0
Jan 30, 2026
0
0
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install aws-lambda

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is AWS Lambda?

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.

AWS Lambda Use Cases

  • Automating the deployment of Node.js or Python functions to the AWS cloud
  • Invoking remote functions with specific JSON payloads for integration testing
  • Monitoring live execution logs to troubleshoot serverless application behavior
  • Updating production code dynamically using zip-file deployment strategies
  • Auditing existing cloud infrastructure by listing all active Lambda functions

How AWS Lambda Works

  1. The skill initializes by sourcing AWS credentials from the local environment variables.
  2. It interfaces with the AWS Lambda service via standardized CLI commands to query or modify resources.
  3. For deployments, it packages code into the required binary format and transmits it to the specified AWS region.
  4. When invoking functions, it passes JSON input to the Lambda runtime and captures the return value into a local file.
  5. Log streams are accessed through CloudWatch integration to provide a real-time feed of function execution details.

AWS Lambda Setup

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.

AWS Lambda Data Schema & Taxonomy

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

AWS Lambda Advanced Features

  • Real-time log tailing with follow support for immediate debugging feedback
  • Support for binary zip-file uploads to update function code without manual console access
  • Flexible invocation engine that handles complex JSON payloads and saves results locally
  • Multi-region compatibility powered by Openclaw Skills configuration management
  • Automated IAM role association during new function creation

SKILL.md


Loading

Related Openclaw Skills

METADATA

Categories
Github Stars: 0
forks: 0

Featured*