Analyze logs for performance insights and issues
Installation
npx claude-plugins install @jeremylongshore/claude-code-plugins-plus/log-analysis-tool
Contents
Folders: commands, skills
Files: LICENSE, README.md
Documentation
Analyze application logs for performance insights and issue detection.
Installation
/plugin install log-analysis-tool@claude-code-plugins-plus
Usage
/analyze-logs
Features
- Slow request identification
- Error pattern detection
- Structured logging setup
- Log aggregation configuration (ELK, Loki, CloudWatch)
- Performance-focused dashboards
- Log-based alerting
- Retention optimization
License
MIT
Included Skills
This plugin includes 1 skill definition:
analyzing-logs
Analyze application logs for performance insights and issue detection including slow requests, error patterns, and resource usage. Use when troubleshooting performance issues or debugging errors. Trigger with phrases like “analyze logs”, “find slow requests”, or “detect error patterns”.
View skill definition
Log Analysis Tool
This skill provides automated assistance for log analysis tool tasks.
Overview
This skill empowers Claude to automatically analyze application logs, pinpoint performance bottlenecks, and identify recurring errors. It streamlines the debugging process and helps optimize application performance by extracting key insights from log data.
How It Works
- Initiate Analysis: Claude activates the log analysis tool upon detecting relevant trigger phrases.
- Log Data Extraction: The tool extracts relevant data, including timestamps, request durations, error messages, and resource usage metrics.
- Pattern Identification: The tool identifies patterns such as slow requests, frequent errors, and resource exhaustion warnings.
- Report Generation: Claude presents a summary of findings, highlighting potential performance issues and optimization opportunities.
When to Use This Skill
This skill activates when you need to:
- Identify performance bottlenecks in an application.
- Debug recurring errors and exceptions.
- Analyze log data for trends and anomalies.
- Set up structured logging or log aggregation.
Examples
Example 1: Identifying Slow Requests
User request: “Analyze logs for slow requests.”
The skill will:
- Activate the log analysis tool.
- Identify requests exceeding predefined latency thresholds.
- Present a list of slow requests with corresponding timestamps and durations.