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analyzing-logs

5.8

by jeremylongshore

116Favorites
96Upvotes
0Downvotes

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".

logging

5.8

Rating

0

Installs

DevOps & Infrastructure

Category

Quick Review

This skill provides a well-structured framework for log analysis with clear documentation and referenced scripts. The description adequately covers capabilities like finding slow requests and detecting error patterns. The SKILL.md is well-organized with good sections for workflow, best practices, and error handling. The scripts directory contains relevant tools (aggregate_logs.sh, analyze_log_file.py, detect_anomalies.py) that support the documented capabilities. However, novelty is limited as log analysis tasks (grep/awk patterns, parsing timestamps, grouping errors) are relatively straightforward CLI operations that don't require excessive tokens. The skill adds value through organization and pre-built scripts, but a CLI agent could accomplish most tasks with standard unix tools and basic scripting without consuming prohibitive resources.

LLM Signals

Description coverage7
Task knowledge7
Structure8
Novelty4

GitHub Signals

1,046
135
8
0
Last commit 0 days ago

Publisher

jeremylongshore

jeremylongshore

Skill Author

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Publisher

jeremylongshore avatar
jeremylongshore

Skill Author

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