This gives Claude the context to help you instrument Datadog across your stack, from installing the agent to setting up APM tracing, log pipelines, and custom metrics. It covers the eight supported languages for automatic instrumentation, includes actual code snippets for Python and Node.js, and walks through Kubernetes deployments with Helm. The cost optimization section is honest about the main gotchas: high-cardinality tags and missing log quotas will burn your budget fast. Use this when you're standing up production monitoring or need to fix an existing Datadog setup that's either missing coverage or bleeding money. It won't help you decide whether Datadog is right for you, but once you've committed, it handles the implementation details.
npx -y skills add bobmatnyc/claude-mpm-skills --skill datadog-observability --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
kubesphere/kubesphere
supercent-io/skills-template