Can I use this for real-time monitoring?

It is primarily designed for post-hoc analysis of log files to identify trends, patterns, and specific bottlenecks during debugging or optimization sessions.

Does it support structured logging like JSON?

Yes, while it can analyze various formats, using structured logging (JSON) is a recommended best practice for more efficient and accurate data extraction.

What kind of report does the skill generate?

It provides a summarized report highlighting key findings, including a list of slow requests, grouped error frequencies, and optimization opportunities.

Can this skill identify specific slow requests?

Yes, it scans log data for request durations and highlights entries that exceed latency thresholds, providing timestamps and specific details.

How does Claude activate the log analysis skill?

Claude triggers this skill automatically when it detects phrases like 'analyze logs', 'find error patterns', or 'troubleshoot performance issues' in your requests.

Log Analysis & Insights

Name: Log Analysis & Insights
Author: intent-solutions-io

byintent-solutions-io

分析と監視

Analyzes application logs to identify performance bottlenecks, recurring error patterns, and resource usage anomalies.

概要

This skill empowers Claude to automatically process and interpret application logs, providing a structured overview of system health. By extracting critical data such as timestamps, request durations, and error messages, it enables Claude to pinpoint slow requests, identify frequent exceptions, and flag resource exhaustion warnings. It is an essential tool for developers looking to streamline the debugging process, optimize application performance, and gain actionable insights from raw log data.

主な機能

Generation of structured summaries from raw log data
Detection and grouping of recurring error patterns and exceptions
Support for log aggregation and trend analysis
0 GitHub stars
Automated identification of slow requests and latency bottlenecks
Extraction of resource usage metrics and warnings

ユースケース

Troubleshooting production latency by identifying specific slow API requests
Monitoring system health during deployments to detect anomalies early
Debugging application stability issues by analyzing recurring error logs

概要

主な機能

Generation of structured summaries from raw log data
Detection and grouping of recurring error patterns and exceptions
Support for log aggregation and trend analysis
0 GitHub stars
Automated identification of slow requests and latency bottlenecks
Extraction of resource usage metrics and warnings

ユースケース

Troubleshooting production latency by identifying specific slow API requests
Monitoring system health during deployments to detect anomalies early
Debugging application stability issues by analyzing recurring error logs