Log Analyzer

Parse agent logs for errors, performance insights, and anomalies.

Purpose

AI agents generate extensive logs but finding patterns, errors, or performance bottlenecks requires manual analysis. This skill automates log parsing, trend analysis, and alerting.

Triggers

Use this skill when you need to:

• "analyze logs"
• "parse error logs"
• "find log patterns"
• "check log performance"
• "log anomaly detection"
• "generate log report"
• "monitor log health"
• "track log metrics"

Capabilities

• Error Detection: Parse logs for errors, exceptions, and warnings
• Performance Analysis: Track response times, latency patterns, throughput
• Anomaly Detection: Identify unusual patterns or spikes
• Trend Analysis: Track metrics over time (hourly, daily, weekly)
• Custom Filtering: Filter by date range, log level, keywords
• Report Generation: Export summaries as JSON, CSV, or markdown
• Real-time Monitoring: Watch log files for new entries

Usage

# Analyze recent logs
./scripts/analyze-logs.js --file /path/to/app.log

# Filter by error level
./scripts/analyze-logs.js --file app.log --level error

# Date range analysis
./scripts/analyze-logs.js --file app.log --from "2024-01-01" --to "2024-01-31"

# Performance metrics
./scripts/analyze-logs.js --file app.log --metrics --output report.json

# Watch mode (real-time)
./scripts/analyze-logs.js --file app.log --watch

# Multiple files
./scripts/analyze-logs.js --dir /logs/ --pattern "*.log"

Output

The analyzer generates structured reports with:

• Error Summary: Count by type, frequency over time
• Performance Metrics: Average response time, 95th percentile, throughput
• Top Issues: Most frequent errors and warnings
• Time Patterns: Peak usage hours, anomaly detection
• Trends: Week-over-week changes, growth patterns

Requirements

• Node.js 18+
• Log files in common formats (JSON, combined, custom)
• Read access to log directories

Author

Built by Axiom for the agent community.