Configure MCP regions
Map servers to US, EU, or AP sites for local telemetry.
Manage monitoring server settings to access telemetry and switch regions with these AI coding agent skills.
Official Agent Skills published by Datadog Labs
Use these skills to initialize observability servers and switch monitoring regions. Quickly manage toolsets for alerts and synthetics within your AI environment.
Map servers to US, EU, or AP sites for local telemetry.
Enable or disable specific monitoring features like alerting and synthetics.
Troubleshoot authentication issues and domain typos to maintain server connectivity.
Official Agent Skills published by Datadog Labs.
Bootstraps LLM-judge evaluators and evaluation datasets directly from production Datadog LLM traces.
Orchestrates an end-to-end evaluation pipeline for instrumented LLM applications, from trace classification and root-cause analysis to evaluator bootstrapping and experiment execution.
Analyzes and compares LLM experiment results using Datadog LLM Obs to diagnose errors, evaluate metric performance, and export detailed reports.
Add Datadog Labs Skills to agents that support the Agent Skills format, including Claude, Claude Code, Codex, and OpenCode. Install manually from source, or use MCP Market Hub to sync and share them with your team.
Add official skills once, keep them current across your agents, and share the same skill set with your team.
Prefer manual control? Download the skills from source, then follow the install guide for your agent.
datadog-labs/agent-skillsReal workflows powered by Datadog Labs skills.
Switch monitoring regions
Move between Datadog US and EU instances to access regional logs and metrics.
Initialize observability tools
Set up the MCP server for first-time use in your AI development environment.
Customize available features
Toggle alerting and synthetics tools to focus on specific monitoring workflows.
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