·implementing-observability
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implementing-observability

ancoleman/ai-design-components

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.

11Installs·0Trend·@ancoleman

Installation

$npx skills add https://github.com/ancoleman/ai-design-components --skill implementing-observability

SKILL.md

Implement production-grade observability using OpenTelemetry as the 2025 industry standard. Covers the three pillars (metrics, logs, traces), LGTM stack deployment, and critical log-trace correlation patterns.

Context7 Reference: /websites/opentelemetryio (Trust: High, Snippets: 5,888, Score: 85.9)

Metric Types: Counters (always increase), Gauges (up/down), Histograms (distributions), Summaries (percentiles).

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. Source: ancoleman/ai-design-components.

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Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/ancoleman/ai-design-components --skill implementing-observability
Category
</>Dev Tools
Verified
First Seen
2026-02-01
Updated
2026-02-18

Quick answers

What is 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. Source: ancoleman/ai-design-components.

How do I install implementing-observability?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/ancoleman/ai-design-components --skill implementing-observability Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor

Where is the source repository?

https://github.com/ancoleman/ai-design-components