Lumigo Skill for Openclaw for Openclaw

A powerful observability skill for Openclaw Skills that enables automated distributed tracing and monitoring for microservices via the Lumigo platform.

gora050
v1.0.2
May 1, 2026
0
361
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install lumigo

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 lumigo 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 Lumigo Skill for Openclaw?

The Lumigo skill for Openclaw Skills empowers developers to monitor and troubleshoot cloud-native applications directly through their AI agent. By leveraging the Membrane framework, this skill provides a seamless interface for managing AWS Lambda, containers, and microservices observability. It simplifies complex debugging tasks by providing direct access to traces, spans, and resource details without leaving the development environment.

Built to enhance the Openclaw Skills ecosystem, this integration eliminates the manual overhead of managing API keys and authentication. It allows teams to focus on root cause analysis and performance optimization while the skill handles the heavy lifting of data retrieval and credential management through secure, automated workflows.

Lumigo Skill for Openclaw Use Cases

  • Monitor serverless performance and AWS Lambda execution traces.
  • Automate root cause analysis by retrieving specific span and transaction details.
  • Manage and respond to Lumigo alerts and dashboard updates through an AI agent.
  • Audit cloud-native resource health and service dependencies during deployment cycles.

How Lumigo Skill for Openclaw Works

  1. The Openclaw Skills agent authenticates via the Membrane CLI using a secure tenant-based login.
  2. A connection is established to the Lumigo API, with Membrane handling all OAuth or token-based handshakes.
  3. The agent searches for specific monitoring actions (like fetching traces or alerts) using natural language intent discovery.
  4. Commands are executed through the Membrane proxy, which automatically injects auth headers and manages credential refreshing.
  5. Structured observability data is returned to the agent for analysis, reporting, or further automated troubleshooting steps.

Lumigo Skill for Openclaw Setup

First, install the Membrane CLI to manage your Openclaw Skills:

npm install -g @membranehq/cli@latest

Authenticate your agent environment:

membrane login --tenant --clientName=openclaw

Initialize the Lumigo connection:

membrane connection ensure "https://lumigo.io/" --json

Wait for the connection state to reach READY before executing monitoring actions.

Lumigo Skill for Openclaw Data Schema & Taxonomy

The skill organizes Lumigo data into a structured hierarchy for easy AI consumption:

Entity Description
Traces Full execution paths across distributed systems
Spans Individual units of work within a trace
Resources Infrastructure components like Lambda functions or containers
Alerts Configured notifications for performance thresholds
Transactions Grouped operations representing a single user request

All data is returned in machine-readable JSON format when the --json flag is utilized.

Lumigo Skill for Openclaw Advanced Features

  • Natural Language Action Discovery: Find the right monitoring tool by describing your intent rather than memorizing API endpoints.
  • Transparent Proxy Requests: Send custom HTTP requests to any Lumigo endpoint with automatic header injection.
  • Long-polling Connection Recovery: Automated 'wait' flags to handle asynchronous connection building and client-side actions.
  • Multi-Agent Support: Compatible with various harnesses including Openclaw Skills, Claude, and Windsurf.

SKILL.md


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