How do I install the Datadog Metrics skill?

Run npx skillmds@latest add gabrielmoreira/datadog-metrics in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

What does the Datadog Metrics skill do?

Query metrics and explore dashboards in Datadog. It is listed under Coding & Dev Tools on SkillMD.

Is Datadog Metrics safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Datadog Metrics?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Datadog Metrics free to use?

Yes. Installing skills from SkillMD is free. This skill is licensed under Apache-2.

Who published Datadog Metrics?

gabrielmoreira (@gabrielmoreira) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Datadog Metrics by gabrielmoreira — Agent Skill

Name: Datadog Metrics
Rating: 4.2 (5 reviews)
Author: gabrielmoreira

File contents

Datadog Metrics Skill

Query metrics and explore dashboards in Datadog.

Tools

Tool	Description
`query_metrics`	Execute metric queries with aggregations
`list_metrics`	List available metrics matching a pattern
`get_metric_metadata`	Get metadata for a specific metric
`list_dashboards`	List all available dashboards
`get_dashboard`	Get dashboard definition and widgets

Example Queries

Query CPU utilization for network devices
→ query_metrics(query="avg:system.cpu.user{role:network_device} by {host}", time_range="1h")

Get interface traffic metrics
→ query_metrics(query="sum:network.bytes_rcvd{*} by {interface}", time_range="4h")

List all network-related metrics
→ list_metrics(pattern="network.*")

Get a specific dashboard
→ get_dashboard(dashboard_id="abc-def-123")

Workflows

Network Performance Monitoring

Query interface utilization: query_metrics(query="avg:network.bytes_sent{*} by {host,interface}")
Check error rates: query_metrics(query="sum:network.errors{*} by {host}")
Monitor latency percentiles: query_metrics(query="p99:network.latency{*}")
Compare against SLA thresholds

Infrastructure Health Assessment

List all infrastructure metrics: list_metrics(pattern="system.*")
Query CPU/memory across fleet: query_metrics(query="avg:system.cpu.user{*} by {availability_zone}")
Identify outliers and degradation
Check dashboard for historical trends

Capacity Planning

Query peak utilization: query_metrics(query="max:system.disk.used{*} by {host}", time_range="30d")
Calculate growth rate
Forecast exhaustion dates
Generate capacity report

Prerequisites

DD_API_KEY Datadog API key
DD_APP_KEY Datadog application key
DD_SITE Datadog site (optional, defaults to datadoghq.com)

Server

This skill uses the datadog-mcp server via remote MCP transport.

---name: datadog-metricsdescription: Query metrics and explore dashboards in Datadog.license: Apache-2.0--- # Datadog Metrics Skill Query metrics and explore dashboards in Datadog. ## Tools | Tool | Description | |------|-------------| | `query_metrics` | Execute metric queries with aggregations | | `list_metrics` | List available metrics matching a pattern | | `get_metric_metadata` | Get metadata for a specific metric | | `list_dashboards` | List all available dashboards | | `get_dashboard` | Get dashboard definition and widgets | ## Example Queries ``` Query CPU utilization for network devices → query_metrics(query="avg:system.cpu.user{role:network_device} by {host}", time_range="1h") Get interface traffic metrics → query_metrics(query="sum:network.bytes_rcvd{*} by {interface}", time_range="4h") List all network-related metrics → list_metrics(pattern="network.*") Get a specific dashboard → get_dashboard(dashboard_id="abc-def-123") ``` ## Workflows ### Network Performance Monitoring 1. Query interface utilization: `query_metrics(query="avg:network.bytes_sent{*} by {host,interface}")` 2. Check error rates: `query_metrics(query="sum:network.errors{*} by {host}")` 3. Monitor latency percentiles: `query_metrics(query="p99:network.latency{*}")` 4. Compare against SLA thresholds ### Infrastructure Health Assessment 1. List all infrastructure metrics: `list_metrics(pattern="system.*")` 2. Query CPU/memory across fleet: `query_metrics(query="avg:system.cpu.user{*} by {availability_zone}")` 3. Identify outliers and degradation 4. Check dashboard for historical trends ### Capacity Planning 1. Query peak utilization: `query_metrics(query="max:system.disk.used{*} by {host}", time_range="30d")` 2. Calculate growth rate 3. Forecast exhaustion dates 4. Generate capacity report ## Prerequisites - `DD_API_KEY` Datadog API key - `DD_APP_KEY` Datadog application key - `DD_SITE` Datadog site (optional, defaults to datadoghq.com) ## Server This skill uses the `datadog-mcp` server via remote MCP transport.

Frequently asked questions

Datadog Metrics