When software runs in production, you need to know what it is doing. This skill teaches you to add logging, metrics, and tracing to your code. These tools help you see how your system behaves and find problems fast.
Engineers often forget to add monitoring until something breaks. With this skill, you write telemetry alongside the feature itself. That way you can answer questions like why did this fail without digging through old data.
It is for anyone who builds features that run on servers. Developers, operators, and teams who want to avoid long outages will benefit. You learn to pick the right signal for each question and keep logs clean and searchable.
Global
mkdir -p ~/.claude/skills/observability-and-instrumentationProject
mkdir -p .claude/skills/observability-and-instrumentationSource Repository
Appinsights Instrumentationmicrosoft/azure-skills
Learn how to add Azure Application Insights monitoring to your web app
Azure Kustomicrosoft/azure-skills
Run fast KQL queries on Azure Data Explorer for log and telemetry analysis
Caveman Statsjuliusbrussee/caveman
See real token usage and estimated savings directly from your session log
Azure Observabilitymicrosoft/azure-skills
Track Azure app errors, performance, and infrastructure with monitoring tools
Convex Performance Auditget-convex/agent-skills
Find and fix Convex performance problems with step-by-step diagnostic guidance
Google Agents Cli Observabilitygoogle/agents-cli
Set up tracing, logging, and analytics for your ADK agents easily
Golang Observabilitysamber/cc-skills-golang
Monitor your Go services with logs metrics traces and profiling
Golang Samber Slogsamber/cc-skills-golang
Compose, sample, and route Go logs to multiple backends with ease