log-analysis

Solid

Structured log analysis and aggregation expertise for observability and troubleshooting

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 93/100

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Skill Content

# Log Analysis Skill ## Overview Specialized skill for log analysis, parsing, and aggregation across various logging platforms and formats. Provides deep expertise in extracting insights from logs for troubleshooting and observability. ## Capabilities ### Log Parsing - Parse structured log formats (JSON, logfmt) - Handle unstructured logs with pattern matching - Extract fields and metadata from syslog - Parse custom application log formats - Handle multi-line log entries (stack traces) ### Query Languages - Write and optimize Loki LogQL queries - Generate Elasticsearch/OpenSearch queries - Create Splunk SPL queries - Build CloudWatch Logs Insights queries ### Pattern Detection - Identify log patterns and anomalies - Detect error clusters and trends - Correlate logs across services - Find root cause indicators in log streams ### Alerting Integration - Create log-based alerting rules - Configure alert thresholds and conditions - Design alert aggregation strategies - Implement alert suppression logic ### Pipeline Configuration - Configure log shipping (Fluentd, Fluent Bit, Vector) - Design log parsing pipelines - Implement log enrichment and transformation - Set up log routing and filtering ## Target Processes - `log-aggregation.js` - Log aggregation system setup - `monitoring-setup.js` - Integrated observability stack - `incident-response.js` - Log analysis during incidents ## Usage Context This skill is invoked when processes require: - Setting up log aggregation p...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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