opentelemetry-skill

Configure OpenTelemetry collectors for Kubernetes by enforcing memory_limiter-first processor ordering, batching, TLS, and PII redaction patterns to ensure production-safe telemetry pipelines.

Monitor AI coding agents using OpenTelemetry by applying specialized observability guidance covering Claude Code, Gemini CLI, Copilot, and Codex to capture agent telemetry and evaluate performance.

Progressive disclosure loads deep OpenTelemetry reference docs only when triggered by relevant topics, optimizing context windows by adapting prompts to surface configuration references on demand.

Validate OpenTelemetry pipeline configurations using enforced OTTL best practices and a comprehensive reference set, applying baseline and compliance testing frameworks to quantify telemetry improvements.

OpenTelemetry guidance enforces TLS and PII redaction patterns across all pipelines, applying production-safe defaults to ensure security and compliance within cloud-native observability deployments.