a5c-ai 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 setupmonitoring-setup.js- Integrated observability stackincident-response.js- Log analysis during incidents
Usage Context
This skill is invoked when processes require:
- Setting up log aggregation pipelines
- Writing queries to analyze log data
- Troubleshooting issues using logs
- Creating log-based alerts and dashboards
- Parsing and transforming log formats
Dependencies
- Loki/Grafana or Elasticsearch/Kibana access
- Log shipper CLI tools (fluentd, vector)
- Cloud logging APIs (CloudWatch, Stackdriver)
Output Formats
- LogQL/ES query strings
- Log pipeline configurations
- Alert rule definitions
- Log analysis reports
- Parsed log samples