Log Analysis

intermediateopsMin 128K context

Parses and analyzes application, system, and access logs to surface errors, anomalies, and root causes. Correlates events across services, identifies recurring patterns and spikes, extracts structured fields from unstructured lines, and produces a prioritized summary with likely causes and recommended next steps.

logsobservabilitydebuggingmonitoringroot-causesre

Use Cases

  • Finding the root cause of a production incident from log dumps
  • Detecting anomalies and error spikes across distributed services
  • Extracting structured fields from unstructured log lines
  • Correlating request traces across microservices
  • Summarizing noisy logs into an actionable incident timeline

Example Prompt

Analyze the following application logs. Identify:
1. The most frequent and most severe errors
2. Any anomalies, spikes, or unusual patterns over time
3. The likely root cause and the request/trace where it first appears
4. Recommended next steps to mitigate and prevent recurrence

Logs:
```
[paste logs here]
```

Recommended Models

claude-opus-4-8gpt-5-5gemini-3-1-prodeepseek-v4

Compatible Tools

claude-codecursorkiroany

Modalities

Input: text, file
→
Output: text

Related Skills

incident-responsedebugging-assistantperformance-optimization

Author

OpenModels Community

@openmodelsrun