How do I install the Datadog Apm skill?

Run npx skillmds@latest add automateyournetwork/datadog-apm 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 Apm skill do?

Analyze distributed traces and service performance in Datadog APM. It is listed under Coding & Dev Tools on SkillMD.

Is Datadog Apm 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 Apm?

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 Apm free to use?

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

Who published Datadog Apm?

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

Datadog Apm by automateyournetwork — Agent Skill

Name: Datadog Apm
Rating: 4.2 (5 reviews)
Author: automateyournetwork

File contents

Datadog APM Skill

Analyze distributed traces and service performance in Datadog APM.

Tools

Tool	Description
`search_traces`	Search traces with query syntax and filters
`get_trace_details`	Get detailed span information for a trace
`list_services`	List all instrumented services
`get_service_summary`	Get service health and performance summary

Example Queries

Search for slow traces in the network service
→ search_traces(query="service:network-api @duration:>1s", time_range="1h")

Find error traces
→ search_traces(query="status:error", time_range="30m")

Get details of a specific trace
→ get_trace_details(trace_id="abc123def456")

List all services
→ list_services()

Get service performance summary
→ get_service_summary(service_name="network-api")

Workflows

Latency Analysis

Search slow traces: search_traces(query="@duration:>500ms")
Identify common patterns (resource, operation)
Drill into trace waterfall: get_trace_details(trace_id="...")
Find bottleneck spans
Compare with baseline performance

Error Investigation

Search error traces: search_traces(query="status:error service:network")
Group by error type and root cause
Review span-level errors in trace details
Correlate with recent deployments or changes

Service Health Review

List all services: list_services()
Get summary for critical services: get_service_summary(service_name="...")
Check error rate, latency percentiles, throughput
Identify degraded or unhealthy services
Review service dependencies map

Root Cause Analysis

Start from incident or alert
Find related traces: search_traces(query="trace_id:abc123")
Walk span tree to identify failure point
Check upstream/downstream service health
Correlate with infrastructure metrics

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.

Notes

APM requires instrumented services sending traces to Datadog
Trace retention depends on your Datadog plan
Large trace searches may be paginated

---name: datadog-apmdescription: Analyze distributed traces and service performance in Datadog APM.license: Apache-2.0--- # Datadog APM Skill Analyze distributed traces and service performance in Datadog APM. ## Tools | Tool | Description | |------|-------------| | `search_traces` | Search traces with query syntax and filters | | `get_trace_details` | Get detailed span information for a trace | | `list_services` | List all instrumented services | | `get_service_summary` | Get service health and performance summary | ## Example Queries ``` Search for slow traces in the network service → search_traces(query="service:network-api @duration:>1s", time_range="1h") Find error traces → search_traces(query="status:error", time_range="30m") Get details of a specific trace → get_trace_details(trace_id="abc123def456") List all services → list_services() Get service performance summary → get_service_summary(service_name="network-api") ``` ## Workflows ### Latency Analysis 1. Search slow traces: `search_traces(query="@duration:>500ms")` 2. Identify common patterns (resource, operation) 3. Drill into trace waterfall: `get_trace_details(trace_id="...")` 4. Find bottleneck spans 5. Compare with baseline performance ### Error Investigation 1. Search error traces: `search_traces(query="status:error service:network")` 2. Group by error type and root cause 3. Review span-level errors in trace details 4. Correlate with recent deployments or changes ### Service Health Review 1. List all services: `list_services()` 2. Get summary for critical services: `get_service_summary(service_name="...")` 3. Check error rate, latency percentiles, throughput 4. Identify degraded or unhealthy services 5. Review service dependencies map ### Root Cause Analysis 1. Start from incident or alert 2. Find related traces: `search_traces(query="trace_id:abc123")` 3. Walk span tree to identify failure point 4. Check upstream/downstream service health 5. Correlate with infrastructure metrics ## 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. ## Notes - APM requires instrumented services sending traces to Datadog - Trace retention depends on your Datadog plan - Large trace searches may be paginated

Frequently asked questions

Datadog Apm