lindy-observability

Quick Review

Well-structured observability skill with comprehensive instrumentation patterns for Lindy AI integrations. Provides detailed TypeScript implementations for logging, metrics, tracing, and dashboards. The description clearly communicates when to use the skill with specific trigger phrases. Task knowledge is strong with production-ready code examples covering pino logging, Prometheus metrics, OpenTelemetry tracing, and Grafana dashboards. Structure is good with logical progression from logging to metrics to tracing to dashboards. Novelty is moderate—while observability setup requires domain knowledge, the patterns are standard practice adapted to Lindy context. A CLI agent could implement basic observability, but this skill provides valuable integration-specific instrumentation, error handling patterns, and alert configurations that would be time-consuming to develop from scratch. Minor improvement areas: could benefit from more context about Lindy-specific monitoring needs and edge cases unique to AI agent integrations.