Logging Services skills for AI agents
8 practitioner-grade logging services skills, each a focused Markdown document your agent loads into context on demand. Search them from Claude Desktop, Cursor or any MCP client, or pull one with the CLI.
All 8 skills
- Better Stack / Logtail
Better Stack (Logtail) logging — structured log ingestion, live tail, SQL-based querying, alerting, and uptime monitoring
197 lines - Datadog Logging
Datadog log management — agent setup, library integration, log pipelines, facets, monitors, and APM correlation
195 lines - Fluentd
Fluentd unified logging — input/output plugins, routing with tags, buffering, Kubernetes DaemonSet, and Fluent Bit
316 lines - Logstash / ELK Stack
ELK Stack logging — Logstash pipelines, Elasticsearch indexing, Kibana dashboards, and Filebeat shippers
241 lines - Papertrail
Papertrail cloud logging — syslog forwarding, live tail, search, alerts, and integration with app frameworks
185 lines - Pino Logger
Pino: fast JSON logger for Node.js — child loggers, serializers, transports (pino-pretty, pino-http), redaction, Next.js integration, and log levels
273 lines - Structured Logging Patterns
Structured logging patterns for TypeScript — correlation IDs, request context, log levels, error serialization, sensitive data redaction, and observability best practices
421 lines - Winston Logger
Winston: versatile Node.js logger — transports (Console, File, HTTP), formats, custom levels, metadata, daily rotate file, and error handling
372 lines