Agent Native

dd-apm

This skill enables agents to set up Datadog APM for distributed tracing and performance analysis.

by DatadogOfficial publisherNot reviewed

Identity proven by GitHub's verified organisation badge (DataDog, datadog-labs)

Agents
Claude Code
License
MIT (permissive)
Pin
9cbd518pinned Oct 9, 2026
Context cost
about 1,800 tokenswhen the skill loads
GitHub stars
177on datadog-labs/agent-skills
Scripts
None found

What it does

“APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis, Data Streams Monitoring (DSM), queue lag, pipeline latency. Use for any request involving Datadog APM setup, instrumentation (SSI, ddtrace, agent install), or analysis.”
The author's description, from SKILL.md

Generated summary from the skill's own text

This skill enables agents to set up Datadog APM for distributed tracing and performance analysis. It routes requests to specialized sub-skills for Kubernetes or Linux environments, handles service renaming, and configures Data Streams Monitoring for queue and pipeline latency tracking. The skill provides commands to search traces, list services, view dependencies, and troubleshoot instrumentation issues.

When to use it

  • Setting up Datadog APM on Kubernetes with SSI or Linux hosts
  • Searching traces and analyzing service performance metrics
  • Renaming services or collapsing duplicate service identities
  • Monitoring queue lag and pipeline latency with Data Streams

When not to

  • Monitoring Kafka broker or cluster health directly
  • Implementing APM cost reduction via sampling or retention filters
  • Requests without clear orchestrator or deployment context

Install

These commands install from the publisher's repository and need no account.

skills CLI

npx skills add datadog-labs/agent-skills --skill dd-apm

Installs from the repository's default branch, which may have changed since the commit we checked.

GitHub CLI 2.90 or later

gh skill install datadog-labs/agent-skills dd-apm@9cbd518922765c46d5d446f09cf03d060dd4b46f

Installs the commit we checked (9cbd518).

Copy by hand

Download the folder at 9cbd518 and put it in .claude/skills/dd-apm for Claude Code and in .agents/skills/dd-apm for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.

Skill folder on GitHub at 9cbd518

Claude Code plugin

/plugin install datadog@claude-plugins-official

The publisher's plugin in Claude's official marketplace. It may hold more than this skill, and we have not pinned it.

Copy for your agent

A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.

Prompt

Install the agent skill "dd-apm" by Datadog.

Source, pinned to commit 9cbd518922765c46d5d446f09cf03d060dd4b46f:
https://github.com/datadog-labs/agent-skills/tree/9cbd518922765c46d5d446f09cf03d060dd4b46f/dd-apm

1. Download that folder at exactly this commit. Do not use the default branch.
2. Copy every file unchanged, keeping the folder structure, into .claude/skills/dd-apm/ for Claude Code and .agents/skills/dd-apm/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist.
3. Do not edit the files, and do not run any script in the folder unless I ask you to.
4. When you are done, list the files you copied and where you put them.

Listing and checks: https://www.agentnative.dev/skills/datadog/dd-apm

SKILL.md at the pin

---
name: dd-apm
description: APM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis, Data Streams Monitoring (DSM), queue lag, pipeline latency. Use for any request involving Datadog APM setup, instrumentation (SSI, ddtrace, agent install), or analysis.
alwaysApply: true
metadata:
  version: "1.2.0"
  author: datadog-labs
  repository: https://github.com/datadog-labs/agent-skills
  tags: datadog,apm,tracing,dsm,data-streams,performance,distributed-tracing,dd-apm,install,onboarding,instrumentation,ssi,agent
  globs: "**/ddtrace*,**/datadog*.yaml,**/*trace*"
---

# Datadog APM

Distributed tracing, service maps, and performance analysis.

## Routing — Read This First

Match the user's request to one of the entries below. Each entry has the same shape: **triggers** → which sub-skill to load → the anti-pattern to avoid. If a request seems to fit more than one entry, see "Overlap disambiguation". If nothing matches, see "None of the above" at the end.

---

**Kubernetes APM install / instrument / onboard** — trigger when the user mentions Kubernetes, K8s, EKS, GKE, AKS, kind, minikube, K3s, helm, DatadogAgent CR, kubectl, SSI on a cluster, pod injection, or init containers.

**Immediately read** `.claude/skills/dd-apm/k8s-ssi/agent-install/SKILL.md` now, then `.claude/skills/dd-apm/k8s-ssi/enable-ssi/SKILL.md`, then `.claude/skills/dd-apm/k8s-ssi/verify-ssi/SKILL.md` — do not proceed from memory.

> **Common wrong approaches that LOOK like they work but silently fail:**
> - `helm install datadog datadog/datadog` — the standard chart does NOT support SSI via DatadogAgent CR.
> - Adding `ddtrace` imports or `ddtrace-run` to the app — SSI auto-instruments WITHOUT any code changes.
> - `admission.datadoghq.com/enabled` annotations — that's admission controller config injection, not SSI init container injection.

---

**Linux APM install / instrument / onboard** — trigger when the user mentions a single host, VM, EC2 instance, bare-metal, RHEL/Ubuntu/Debian, systemd, or no orchestrator.

**Immediately read** `.claude/skills/dd-apm/linux-ssi/agent-install/SKILL.md` now, then `.claude/skills/dd-apm/linux-ssi/enable-ssi/SKILL.md`, then `.claude/skills/dd-apm/linux-ssi/verify-ssi/SKILL.md` — do not proceed from memory.

> **Do NOT** install the agent via plain `apt-get install datadog-agent` (or yum equivalent) and assume SSI follows — host auto-instrumentation requires the install script with the SSI flags, which the sub-skill walks through.

---

**Service rename / service remapping** — trigger when the user mentions renaming a service, collapsing multiple service names, stripping suffixes/prefixes, or cleaning up inferred services.

**Immediately read** `.claude/skills/dd-apm/service-remapping/SKILL.md` now — do not proceed from memory.

> **Do NOT** change `tags.datadoghq.com/service` labels or `DD_SERVICE` env vars to rename a service in Datadog. That requires a rollout and only affects new data. Use a service remapping rule — it rewrites the name at ingestion time with no deployment change.

---

**Data Streams Monitoring (DSM) / queue and pipeline monitoring**: trigger when the user mentions data streams, DSM, consumer or queue lag, pipeline latency, end-to-end latency across queues, or monitoring Kafka / RabbitMQ / SQS / SNS / Kinesis / Pub/Sub flows between services.

**Immediately read** `.claude/skills/dd-apm/enable-dsm/SKILL.md` now. Do not proceed from memory.

> **Do NOT** install a separate DSM agent, package, or library. DSM runs in the Datadog SDK that APM already injected and is enabled with one setting per service. **Do NOT** enable it without first telling the user it is included with APM Pro and Enterprise and billed separately on base APM.

---

### Overlap disambiguation

When a request could plausibly fit more than one entry above, use these tiebreakers:

| Hint | Route to |
|---|---|
| Cluster orchestrator mentioned (EKS/GKE/AKS/kind/K3s/minikube) — even if "just one node" | k8s-ssi |
| Single host, VM, or EC2 with no orchestrator | linux-ssi |
| "Several services that should be one" | service-remapping — the sub-skill picks the rule type based on whether the duplicates are real instrumented services or inferred entities (DBs, queues, external APIs) |
| "My service shows under the wrong name" | First check `DD_SERVICE` on the deploy. If correct and the name is still wrong → service-remapping. |
| "Monitor Kafka" / "monitor my queues" | Ask whether they mean broker/cluster health (Kafka Console, an Agent check: https://docs.datadoghq.com/data_streams/kafka/setup/) or message flow between their services (enable-dsm) |
| "Reduce APM volume / cost / noise" | No sub-skill yet. Ask whether the user means sampling (fewer ingested traces) or retention filters (less indexed data) before suggesting commands. |

---

### None of the above

If the request doesn't match any entry above, continue reading the trace-search, service analysis, and metrics content below. If even that doesn't fit, **ask the user to clarify** — do not invent a workflow.

---

## Requirements

Datadog Labs Pup should be installed. See [Setup Pup](https://github.com/datadog-labs/agent-skills/tree/main?tab=readme-ov-file#setup-pup) if not.

## Command Execution Order (Token-Efficient)

For scoped commands, use this order:

1. Check context first (prior outputs, conversation, saved values).
2. If a required value is missing, run a discovery command first.
3. If still ambiguous, ask the user to confirm.
4. Then run the target command.
5. Avoid speculative commands likely to fail.

## Quick Start

```bash
pup auth login
# Confirm env tag with the user first (do not assume production/prod/prd).
pup apm services list --env <env> --from 1h --to now
pup traces search --query "service:api-gateway" --from 1h
```

## Services

### List Services

```bash
pup apm services list --env <env> --from 1h --to now
pup apm services stats --env <env> --from 1h --to now
```

### Service Stats

```bash
pup apm services stats --env <env> --from 1h --to now
```

### Service Map

```bash
# View dependencies
pup apm flow-map --query "service:api-gateway&from=$(($(date +%s)-3600))000&to=$(date +%s)000" --env <env> --limit 10
```

## Traces

### Search Traces

```bash
# By service
pup traces search --query "service:api-gateway" --from 1h

# Errors only
pup traces search --query "service:api-gateway status:error" --from 1h

# Slow traces (>1s)
pup traces search --query "service:api-gateway @duration:>1000ms" --from 1h

# With specific tag
pup traces search --query "service:api-gateway @http.url:/api/users" --from 1h
```

### Trace Detail

```bash
# No direct get command for a single trace ID.
# Use traces search with a narrow query and time window.
pup traces search --query "trace_id:<trace_id>" --from 1h
```

## Key Metrics

| Metric | What It Measures |
|--------|------------------|
| `trace.http.request.hits` | Request count |
| `trace.http.request.duration` | Latency |
| `trace.http.request.errors` | Error count |
| `trace.http.request.apdex` | User satisfaction |

## Service Level Objectives

Link APM to SLOs:

```bash
pup slos create --file slo.json
```

## Common Queries

| Goal | Query |
|------|-------|
| Slowest endpoints | `avg:trace.http.request.duration{*} by {resource_name}` |
| Error rate | `sum:trace.http.request.errors{*} / sum:trace.http.request.hits{*}` |
| Throughput | `sum:trace.http.request.hits{*}.as_rate()` |

## Troubleshooting

| Problem | Fix |
|---------|-----|
| No traces | Check ddtrace installed, DD_TRACE_ENABLED=true |
| Missing service | Verify DD_SERVICE env var |
| Traces not linked | Check trace headers propagated |
| High cardinality | Don't tag with user_id/request_id |

## References/Docs

- [APM Setup](https://docs.datadoghq.com/tracing/)
- [Trace Search](https://docs.datadoghq.com/tracing/trace_explorer/)

From datadog-labs/agent-skills at 9cbd518, shown as plain text under its license: MIT (permissive). The license text is in LICENSE.

View SKILL.md on GitHub at 9cbd518

Files

1 file, 7.9 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.

Skill folder on GitHub at 9cbd518
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