Agent skill · data analytics · jeremylongshore
analyzing-logs
Analyze application logs for performance insights and issue detection
Why this skill is useful
Adds specific log analysis patterns and structured reporting that the AI wouldn't reliably generate on its own.
What it needs
Requires awk, grep, sed installed locally. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Log Analysis Tool Analyze application logs to identify slow requests, recurring error patterns, and resource usage anomalies with structured reporting and optimization recommendations. 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 1. Initiate Analysis: Claude activates the log analysis tool upon detecting relevant trigger phrases. 2. Log Data Extraction: The tool extracts relevant data, including timestamps, request durations, error messages, and resource usage metrics. 3. Pattern Identification: The tool identifies patterns such as slow requests, frequent errors, and resource exhaustion warnings. 4. 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: 1. Activate the log analysis tool. 2. Identify requests exceeding predefined latency thresholds. 3. Present a list of slow requests with corresponding timestamps and durations. Example 2: Detecting Error Patterns User request: "Find error patterns in the application logs." The skill will: 1. Activate the log analysis tool. 2. Scan logs for recurring error messages and exceptions. 3. Group similar errors and present a summary of error frequencies. Best Practices Log Level: Ensure appropriate log levels (e.g., INFO, WARN, ERROR) are used to capture relevant information. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/analyzing-logs