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Log Analysis

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supercent-io·vlatest·devops

Quickly identify errors, anomalies, and performance bottlenecks in application logs using Supercent's log analysis.

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This skill no longer installs under the name log-analysis. supercent-io/skills-template is deleted or private, so it cannot be installed from.

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Repository install instructions

What we know about this skill

Publisher

supercent-io

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

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Not scanned. repository not found or private Source recorded as supercent-io/skills-template.
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About this skill

What it does

The log-analysis skill enables AI agents to parse, interpret, and extract actionable insights from system logs. It supports multiple log formats (e.g., JSON, syslog) and can identify patterns, anomalies, or errors in real time.

When to use it

  • Monitoring server performance by analyzing application logs for error codes or slow queries.
  • Troubleshooting issues in a distributed system using centralized logging data.
  • Detecting security threats by scanning logs for suspicious activity or unauthorized access attempts.
  • Automating log summarization and alert generation during deployment pipelines.

Key capabilities

  • Parsing structured and unstructured log formats
  • Real-time anomaly detection in log streams
  • Generating summaries and alerts based on predefined rules
  • Correlating events across multiple log sources

Example prompts

  • "Analyze the latest 100 lines of application logs for error messages."
  • "Identify any suspicious login attempts from the security logs over the past hour."
  • "Generate a summary report of system performance based on the last day's logs."

Tips & gotchas

  • Ensure log files are accessible and formatted consistently for accurate parsing.
  • Use predefined rules or train the AI agent with domain-specific patterns to improve anomaly detection accuracy.