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analyzing-logs

5.8

by jeremylongshore

156Favorites
101Upvotes
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".

monitoring

5.8

Rating

0

Installs

DevOps & Infrastructure

Category

Quick Review

This skill provides a solid foundation for log analysis with clear descriptions, well-defined use cases, and references to supporting scripts. The description adequately covers capabilities like detecting slow requests, error patterns, and resource usage. The structure is logical with good examples and best practices. However, novelty is moderate since log analysis using grep/awk/Python is a common DevOps task that a CLI agent could accomplish with standard prompting, though the skill does provide convenient packaging and workflow guidance. The task knowledge is sufficient with instructions and script references (aggregate_logs.sh, analyze_log_file.py, detect_anomalies.py) that would enable completion of analysis tasks.

LLM Signals

Description coverage7
Task knowledge7
Structure7
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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