From aidotnet-moyucode
Analyzes log files with pattern matching, filtering, statistics, and error detection. Invoke via `/logs` or automatically when log analysis is needed.
How this skill is triggered — by the user, by Claude, or both
Slash command
/aidotnet-moyucode:log-analyzerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Parse and analyze log files to extract patterns, filter entries, generate statistics, and detect errors.
Parse and analyze log files to extract patterns, filter entries, generate statistics, and detect errors.
/logs command# Analyze log file
python scripts/log_analyzer.py app.log
# Filter by level
python scripts/log_analyzer.py app.log --level ERROR
# Search pattern
python scripts/log_analyzer.py app.log --grep "connection failed"
# Get statistics
python scripts/log_analyzer.py app.log --stats
# Tail mode
python scripts/log_analyzer.py app.log --tail 100
logs, analysis, debugging, monitoring, errors
npx claudepluginhub joshuarweaver/cascade-data-analytics --plugin aidotnet-moyucodeParses JSON, Apache, and custom app logs to detect error trends, anomalies, performance metrics, user patterns, and system health; provides root cause analysis and fix recommendations.
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".
Analyzes log files or pasted content using ctrlb-decompose CLI to compress lines into patterns, detect anomalies, score severity, and suggest fixes. Installs tool on macOS/Linux if needed.