What is data-engineering-observability?
Observability and monitoring for data pipelines using OpenTelemetry (traces) and Prometheus (metrics). Covers instrumentation, dashboards, and alerting. Source: legout/data-platform-agent-skills.
Observability and monitoring for data pipelines using OpenTelemetry (traces) and Prometheus (metrics). Covers instrumentation, dashboards, and alerting.
Quickly install data-engineering-observability AI skill to your development environment via command line
Source: legout/data-platform-agent-skills.
Tracing and metrics for data pipelines using OpenTelemetry and Prometheus. Instrument code for visibility into performance, errors, and data lineage.
| OpenTelemetry | Distributed tracing | Pipeline stages, latency, dependencies | | Prometheus | Metrics | Throughput, error rates, resource utilization | | Grafana | Visualization | Dashboards combining traces + metrics |
OpenTelemetry (OTel) provides a vendor-neutral standard for distributed tracing, metrics, and logs.
Observability and monitoring for data pipelines using OpenTelemetry (traces) and Prometheus (metrics). Covers instrumentation, dashboards, and alerting. Source: legout/data-platform-agent-skills.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-observabilityObservability and monitoring for data pipelines using OpenTelemetry (traces) and Prometheus (metrics). Covers instrumentation, dashboards, and alerting. Source: legout/data-platform-agent-skills.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/legout/data-platform-agent-skills --skill data-engineering-observability Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/legout/data-platform-agent-skills