AI Skills for Datadog

Generate monitoring and alerting configuration. Use when setting up observability.

Monitor infrastructure and applications via Datadog API. Query metrics, manage dashboards, and create alerts.

Transition from a hands-on "bricklayer" to a high-level "architect" by managing a fleet of autonomous AI agents. Use this when you need to scale engineering output with a small team, handle repetitive migrations/bug fixes, or onboard engineers to complex legacy codebases.

Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.

High-performance structured JSON logging for Node.js. Use when building production APIs that need fast, structured logs for observability platforms (Datadog, ELK, CloudWatch). Provides request logging middleware, child loggers for context, and sensitive data redaction. Choose Pino over console.lo...

Collect comprehensive infrastructure performance metrics across compute, storage, network, containers, load balancers, and databases. Use when monitoring system performance or troubleshooting infrastructure issues. Trigger with phrases like "collect infrastructure metrics", "monitor server perfor...

Profile CPU usage to identify hot spots and bottlenecks. Optimize code paths consuming most CPU time for better performance and resource efficiency.

Execute this skill enables AI assistant to create application performance monitoring (apm) dashboards. it is triggered when the user requests the creation of a new apm dashboard, monitoring dashboard, or a dashboard for application performance. the skill helps ... Use when generating or creating ...

Expert database optimizer specializing in modern performance

Automatically detects Datadog resource mentions (URLs, service queries, natural language) and intelligently fetches condensed context via datadog-analyzer subagent when needed for the conversation (plugin:schovi@schovi-workflows)

>-

Use this skill when you need to search Datadog logs, query metrics, tail logs in real-time, trace distributed requests, investigate errors, compare time periods, find log patterns, check service health, or export observability data.

Use when designing deployment pipelines, CI/CD, terraform, or infrastructure automation. Enforces rollback checkpoint then TodoWrite with 19+ items. Triggers: "deploy", "CI/CD", "kubernetes", "terraform". If thinking "rollback later" - use this first.

Use this skill when designing or reviewing CI/CD pipelines, deployment strategies, observability systems, incident response, or any system involving production operations and reliability. Applies operational thinking to specifications, designs, and implementations.

Full-stack development expertise covering backend, frontend, database, DevOps, and testing domains

Implement comprehensive observability for Gamma integrations. Use when setting up monitoring, logging, tracing, or building dashboards for Gamma API usage. Trigger with phrases like "gamma monitoring", "gamma logging", "gamma metrics", "gamma observability", "gamma dashboard".

Monitor use when deploying monitoring stacks including Prometheus, Grafana, and Datadog. Trigger with phrases like "deploy monitoring stack", "setup prometheus", "configure grafana", or "install datadog agent". Generates production-ready configurations with metric collection, visualization dashbo...

Server management principles and decision-making. Process management, monitoring strategy, and scaling decisions. Teaches thinking, not commands.

This skill enables Claude to create Application Performance Monitoring (APM) dashboards. It is triggered when the user requests the creation of a new APM dashboard, monitoring dashboard, or a dashboard for application performance. The skill helps define key metrics and visualizations for monitori...

Analyze and optimize code for performance, memory, and efficiency