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mattstyles333
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signoz

Query SigNoz logs, metrics, and traces via a Python CLI.

Updated Feb 22, 2026
Search Tags:#debugging#monitoring#logs#metrics#observability#traces#signoz
One-click install
npx skills add https://github.com/mattstyles333/openclaw-workspace --skill signoz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: signoz
Source: https://github.com/mattstyles333/openclaw-workspace/tree/main/skills/signoz
Command: npx skills add https://github.com/mattstyles333/openclaw-workspace --skill signoz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill allows users to query logs, metrics, and traces from the SigNoz observability platform, enabling quick issue diagnosis and performance monitoring without needing to access the SigNoz UI directly.

Core Features & Use Cases

  • Log Querying: Search and filter logs based on service, time range, and custom queries.
  • Metric Analysis: Retrieve and analyze time-series metrics like CPU usage or request counts.
  • Trace Investigation: Examine distributed traces to understand request flows and identify bottlenecks.
  • Service Discovery: List all services reporting to SigNoz.
  • Use Case: When a service is experiencing errors, use this Skill to quickly check its logs for specific error messages within the last 15 minutes.

Quick Start

Check the last hour of logs for the 'magento' service, filtering for errors.

Frequently Asked Questions about signoz

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query SigNoz logs for a specific service and time range?▼

To query SigNoz logs, you can filter by service name and specify a time range using the Python CLI tool. This allows you to quickly search and retrieve specific log entries without accessing the SigNoz UI directly.

Can I retrieve time-series metrics like CPU usage from SigNoz via CLI?▼

Yes, you can retrieve and analyze time-series metrics like CPU usage from SigNoz via the CLI. The Skill supports fetching metrics with custom aggregation queries to help you monitor performance data.

How do distributed traces help identify performance bottlenecks in observability?▼

Distributed traces allow you to examine request flows across services to identify performance bottlenecks. The Skill queries SigNoz to retrieve these traces, helping you understand request paths and pinpoint slow components.

Do I need an API key to access SigNoz observability data?▼

Yes, you need a SigNoz API key and URL configured via environment variables to access observability data. This setup allows the Python CLI tool to authenticate and query logs, metrics, and traces securely.

What is the best way to diagnose service errors without opening the SigNoz UI?▼

The best way to diagnose service errors without the UI is using this Skill to query logs directly. You can check specific services for error messages within a designated time window, such as the last 15 minutes, for quick diagnosis.

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