log-search

name	log-search
description	Deep log analysis with pattern recognition and anomaly detection. Use when investigating logs.

Log Search

Perform deep analysis of application logs to identify error patterns, anomalies, and performance regressions.

When to Use

Invoke this skill when investigating production issues, analyzing error spikes, or searching for specific log patterns across services.

Implementation Steps

Step 1: Gather Context

Ask the user for the time range, affected service, and any known symptoms or error messages.

Step 2: Query Logs

Run structured queries against the log backend:

aws logs filter-log-events --log-group-name /ecs/$SERVICE \
  --start-time $START_MS --end-time $END_MS \
  --filter-pattern "$PATTERN"

Step 3: Analyze Patterns

Group log entries by:

• Error type and stack trace signature
• Request path and HTTP status code
• Time distribution (burst vs. steady)

Step 4: Report

Present findings with:

• Top error types by frequency
• Timeline of error rate changes
• Affected endpoints and request volumes
• Suggested next steps for remediation