Technology & Engineering8 skills

Observability Services skills for AI agents

8 practitioner-grade observability 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.

$ npx skilldb search "observability services"

All 8 skills

Axiom
Integrate Axiom for log management, analytics, and real-time dashboards. Ingest data via API, write APL queries, and connect with Next.js and Vercel.
235 lines
Elastic Apm
Instrument applications with Elastic APM and the ELK Stack for traces, logs, and metrics. Configure agents, build Kibana dashboards, and write Elasticsearch queries for analysis.
255 lines
Grafana
Build Grafana dashboards, configure data sources, and set up alerting rules. Design panels with PromQL, LogQL, and TraceQL for full-stack observability.
219 lines
Honeycomb
Integrate Honeycomb for event-driven observability with high-cardinality tracing. Send structured events, explore with BubbleUp, define SLOs, and configure triggers.
223 lines
Jaeger
Deploy and integrate Jaeger for distributed tracing across microservices. Configure collectors, sampling strategies, span storage, and the query UI.
286 lines
New Relic
Integrate New Relic APM for application performance monitoring and distributed tracing. Write NRQL queries, configure agents, build dashboards, and set up alert policies.
226 lines
Opentelemetry
Instrument applications with OpenTelemetry for distributed traces, metrics, and logs. Configure SDK, collectors, and exporters for vendor-neutral observability pipelines.
209 lines
Prometheus
Configure Prometheus monitoring with scrape targets, recording rules, and alerting. Write PromQL queries for metrics analysis, SLOs, and capacity planning.
236 lines