A professional observability integration that enables AI agents to monitor, troubleshoot, and optimize complex software systems through Lightstep.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lightstep-integration
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 lightstep-integration 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 Lightstep?
Lightstep is a leading observability platform designed to provide deep insights into the performance of complex, distributed software systems. This skill allows developers and SREs to integrate Lightstep capabilities directly into their AI workflows, enabling automated monitoring and optimization. By utilizing Openclaw Skills for Lightstep, agents can programmatically access spans, traces, and metrics to maintain system reliability and performance.
Through this integration, the manual overhead of managing authentication and API headers is eliminated. The skill leverages the Membrane infrastructure to provide a secure, streamlined path for an AI agent to interact with Lightstep data, ensuring that performance bottlenecks are identified and resolved with minimal human intervention.
Lightstep Use Cases
- Automatically identifying the root cause of production issues by querying traces and spans.
- Monitoring Service Level Objectives (SLOs) and performance dashboards through an AI interface.
- Generating service diagrams and notebook insights for system health reporting.
- Triggering automated troubleshooting workflows when alerts are detected in Lightstep.
How Lightstep Works
- The AI agent utilizes the Membrane CLI to establish a secure environment for interacting with Lightstep.
- Authentication is performed via a tenant-based login system that handles credential persistence and rotation.
- A connection is established to the Lightstep domain, which the system validates or creates automatically.
- The agent uses natural language intent discovery to find relevant actions like querying metrics or managing alerts.
- Actions are executed through the CLI, with the system handling the mapping of input parameters and processing the output for the agent.
Lightstep Setup
To get started with Lightstep using Openclaw Skills, follow these installation steps:
# Install the required CLI tool
npm install -g @membranehq/cli@latest
# Log in and specify your agent type (e.g., openclaw)
membrane login --tenant --clientName=openclaw
# Create or ensure a connection to Lightstep
membrane connection ensure "https://lightstep.com/" --json
Follow the provided URL in your browser to complete the authentication process.
Lightstep Data Schema & Taxonomy
The Lightstep skill organizes data around the core observability primitives. Below is the metadata taxonomy used:
| Object | Description |
|---|---|
| Span / Span Set | Records of individual operations within a distributed trace. |
| Dashboard | Collections of charts and visualizations for system monitoring. |
| SLO | Service Level Objectives used to track performance targets. |
| Metric Chart | Visual representations of time-series data. |
| Project | The top-level container for organizing observability resources. |
Lightstep Advanced Features
- Server-side credential management that eliminates the need to handle local API keys.
- Direct API proxying using the request command for endpoints not covered by standard actions.
- Long-polling connection status checks to handle asynchronous setup in headless environments.
- Intent-based action discovery which allows agents to map natural language tasks to technical API calls.
SKILL.md
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