conga-log-analyzer

Fetch Grafana Loki logs by TraceId and generate summary files for LLM context.

Updated May 19, 2026
One-click install
npx skills add https://github.com/nsakthivel-conga/copilot-skills --skill conga-log-analyzer
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: conga-log-analyzer
Source: https://github.com/nsakthivel-conga/copilot-skills/tree/main/conga-log-analyzer
Command: npx skills add https://github.com/nsakthivel-conga/copilot-skills --skill conga-log-analyzer

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill simplifies the analysis of Grafana Loki logs by automatically fetching, processing, and summarizing the relevant information, helping users quickly identify issues and performance bottlenecks.

Core Features & Use Cases

  • Grafana Loki Log Download: Automatically fetch logs by TraceId or custom query without needing manual interaction with Grafana.
  • Summary Files: Provides pre-processed summary files for quick overview of services, error root cause, performance hotspots, and recommendations.
  • Multi-file Analysis: Allows the analysis of multiple manually downloaded raw-logs.json files in a named folder for incident analysis without a Grafana connection.

Quick Start

Use the conga-log-analyzer skill to download and analyze logs for trace 'abc123' in the 'dev' environment.

Frequently Asked Questions about conga-log-analyzer

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

FAQPage Schema
How do I analyze Grafana Loki logs for error root causes?

To analyze Grafana Loki logs for error root causes, this Skill automatically fetches logs by TraceId or custom query, processing them to identify evidence, performance hotspots, and provide actionable recommendations.

Can I analyze manually downloaded Grafana Loki log files without a live connection?

Yes, you can analyze manually downloaded raw-logs.json files without a live Grafana Loki connection by placing multiple files into a named folder for offline incident analysis and performance review.

How do I identify performance hotspots in complex microservices architectures using Loki logs?

Identifying performance hotspots in complex microservices architectures with Loki logs is handled by summarizing fetched logs into pre-processed files that highlight bottlenecks and evidence for LLM context.

Do I need to install external Python dependencies to run conga-log-analyzer?

No, you do not need to install external Python dependencies to run this log analyzer, as it utilizes Python standard library modules to fetch, process, and summarize Loki log data.

What is the best way to fetch Grafana Loki logs for a specific trace ID?

The best way to fetch Grafana Loki logs for a specific trace ID is using this Skill to automatically download logs by TraceId, bypassing manual Grafana interaction to generate summary files.