Browse skills

Provides deployment guidance and assistance for software development workflows.

Provides deployment guidance and assistance for software development workflows.

Optimizes code and system configurations for peak efficiency and reduced resource consumption using data-driven analysis.

Automates Datadog metric creation, dashboards, monitors, and alerts based on provided configuration files.

Provides deployment guidance and assistance for software development workflows.

Phoenix Tracing identifies and maps out complex, multi-step user journeys within your data, revealing critical drop-off points for optimization.

Automates SLO implementation & monitoring across infrastructure, providing proactive alerts based on observability data.

Datadog Logs — provides AI agent assistance for software development workflows.

Proactively monitors Singapore car sales trends data, alerting DevOps teams to anomalies impacting forecasting models.

Automatically defines realistic performance budgets for projects based on historical data and resource constraints.

Automatically generates optimized Redisearch indexes from data schemas, streamlining search implementation and performance.

Helps with data, pipeline automation as part of software development workflows workflows.

This skill generates consistently formatted log entries, improving debugging and analysis by providing clear, structured data.

This skill verifies your observability setup—metrics, logs, traces—ensuring healthy data collection for proactive issue detection and improved system health.

Provides deployment guidance and assistance for software development workflows.

Dynamically generate Ansible inventory from cloud providers and custom data sources using this powerful agent skill.

Provides deployment guidance and assistance for software development workflows.

Validates Prometheus queries (PromQL) for correctness and potential errors, ensuring data integrity and accurate monitoring insights.

Automatically establishes performance baselines for AI models using historical data, enabling objective progress tracking.

Helps with monitoring, database as part of automating DevOps pipelines and CI/CD workflows workflows.

Automatically optimizes AI sentry system resource allocation and detection accuracy based on real-time performance data.

Monitors system performance metrics in real-time using New Relic data, providing proactive insights for rapid issue detection and resolution.

Helps with monitoring, database as part of automating DevOps pipelines and CI/CD workflows workflows.

Automatically identifies, analyzes, and suggests fixes for build errors based on log data and project context.