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Found 6 Skills
Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. Configure log pipelines, create visualizations, and implement log-based monitoring. Use when centralizing logs, implementing search functionality, or building log analytics platforms.
Implement centralized logging with ELK Stack, Loki, or Splunk for log collection, parsing, storage, and analysis across infrastructure.
pctl CLI (v0.6.3) — PAIC Control, a unified testing CLI for PingOne Advanced Identity Cloud (AIC). Handles connection profiles, JWT token generation/decoding/validation, authentication journey testing, local ELK stack management (Elasticsearch + Kibana log streaming), historical log search, and configuration change tracking. Contains environment shorthands, ELK workflow recipes, and gotchas.
Implement structured logging across applications with log aggregation and centralized analysis. Use when setting up application logging, implementing ELK stack, or analyzing application behavior.
Expert-level Elasticsearch, search, ELK stack, and full-text search
This skill should be used when the user designs "distributed logging", "log aggregation", "centralized logs", an "ELK" or "EFK" stack, "log shipping", "structured logging", a "correlation ID" or "trace ID" in logs, "log retention", or "high-volume log ingest". It gives the collect → buffer → ship → index → store → retain pipeline, sampling, ordering, and cold-storage tiering. Use it whenever many services emit logs that must be searched in one place under load, even if the user doesn't say "logging pipeline".