implementing-observability
Monitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing, slog, pino), and alerting.
Packaged view
This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.
Install command
npx @skill-hub/cli install ancoleman-ai-design-components-implementing-observability
Repository
Skill path: skills/implementing-observability
Monitoring, logging, and tracing implementation using OpenTelemetry as the unified standard. Use when building production systems requiring visibility into performance, errors, and behavior. Covers OpenTelemetry (metrics, logs, traces), Prometheus, Grafana, Loki, Jaeger, Tempo, structured logging (structlog, tracing, slog, pino), and alerting.
Open repositoryBest for
Primary workflow: Ship Full Stack.
Technical facets: Full Stack.
Target audience: Development teams looking for install-ready agent workflows..
License: Unknown.
Original source
Catalog source: SkillHub Club.
Repository owner: ancoleman.
This is still a mirrored public skill entry. Review the repository before installing into production workflows.
What it helps with
- Install implementing-observability into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
- Review https://github.com/ancoleman/ai-design-components before adding implementing-observability to shared team environments
- Use implementing-observability for development workflows
Works across
Favorites: 0.
Sub-skills: 0.
Aggregator: No.