Onboarding Summary — Agent Skill by Datadog

From the author

Generate a live Single Step Instrumentation (SSI) onboarding confirmation report — verifies APM instrumentation is working end-to-end with deep links into the Datadog UI. Only use after agent-install and enable-ssi have both completed successfully.

— the description by datadog-labs

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

The onboarding-summary skill provides a structured verification process to confirm that Datadog Single Step Instrumentation (SSI) is correctly configured and reporting data. It performs a series of live checks against the Kubernetes cluster and Datadog platform to validate agent status, init container injection, and trace ingestion. The skill concludes by generating a comprehensive status report with direct deep links into the Datadog UI for service monitoring and troubleshooting.

What it does

Verifies the status and pod count of the Datadog Agent in the cluster.
Confirms the presence of the required init container in the application pod specification.
Validates that the service is correctly identified and traced within the Datadog APM platform.
Checks for recent trace ingestion to ensure end-to-end data flow.
Optionally verifies Data Streams Monitoring (DSM) latency metrics if enabled.
Produces a formatted report with direct links to service maps, trace explorers, and service overviews.

When to use it

After completing the agent installation and enabling SSI.
When you need to confirm that APM instrumentation is working correctly end-to-end.
When a user requests a status update or verification of the APM setup.
Only after all prerequisite verification and troubleshooting steps have passed.

Advantages

Provides a centralized, live confirmation of complex instrumentation setups.
Reduces manual effort by automating the collection of configuration and telemetry data.
Ensures consistency in verification reporting across different environments.
Facilitates immediate navigation to relevant Datadog UI views via deep links.

Usage examples

“Is everything working with the APM setup?”: The agent runs a series of checks to verify agent pods, init containers, and trace ingestion, then presents a status table and links to the Datadog dashboard.
“Show me the status of the Datadog APM instrumentation.”: The agent generates a report confirming the service is traced and providing direct links to the service map and traces explorer.

Install

Download the skill as a ZIP:
https://autogineer.com/agent-skills/datadog-labs/onboarding-summary-xltz/download

Unzip it into the cross-client skills folder of your project:

mkdir -p .agents/skills && unzip onboarding-summary.zip -d .agents/skills

Documentation by datadog-labs

APM Onboarding Summary

Triggers

Invoke this skill when:

All steps in verify-ssi have passed
All checks in troubleshoot-ssi have been resolved
The user asks "is everything working?", "show me the status", or "confirm APM is set up"

Do NOT invoke this skill if any verification or troubleshooting check is still failing — resolve those first.

Context to resolve before acting

Variable	How to resolve
`AGENT_NAMESPACE`	Namespace where Datadog Agent is installed
`APP_NAMESPACE`	Namespace of the application
`APP_LABEL`	Check `spec.selector.matchLabels.app` in the Deployment manifest
`CLUSTER_NAME`	`spec.global.clusterName` in `datadog-agent.yaml`
`SERVICE_NAME`	`tags.datadoghq.com/service` label on the Deployment
`ENV`	`tags.datadoghq.com/env` label on the Deployment
`DD_SITE`	`spec.global.site` in `datadog-agent.yaml`

Prerequisites

Claude runs

pup auth status --site <DD_SITE>

If valid token — proceed.

ERROR: Not authenticated:

Claude runs

pup auth login --site <DD_SITE>

This opens a browser tab for OAuth. Complete the login there — Claude will continue once the command exits.

Collect live confirmation data

Run all of the following. Each populates a row in the final report.

Claude runs

# Agent pod count and status
kubectl get pods -n <AGENT_NAMESPACE> \
  -l app.kubernetes.io/component=agent \
  --no-headers

# SSI instrumentation config live in cluster
kubectl get datadogagent datadog -n <AGENT_NAMESPACE> \
  -o jsonpath='{.spec.features.apm.instrumentation}'

# Init container confirmed in app pod spec
kubectl get pod -l app=<APP_LABEL> -n <APP_NAMESPACE> \
  -o jsonpath='{.items[0].spec.initContainers[*].name}'

# Service visible and traced in APM
DD_SITE=<DD_SITE> pup apm services list --env <ENV> --from 1h

# Traces arriving in the last hour
DD_SITE=<DD_SITE> pup traces search --query "service:<SERVICE_NAME>" --from 1h --limit 5

Only if DSM was enabled via enable-dsm:

# DSM pipeline data for the service
DD_SITE=<DD_SITE> pup metrics query \
  --query "avg:data_streams.latency{service:<SERVICE_NAME>,env:<ENV>} by {pathway_type}" \
  --from 15m --to now

Present the report

Fill in every value from live command output. Do not leave any placeholder unfilled. If a value cannot be confirmed, mark that row as failed and link to troubleshoot-ssi.

APM onboarding complete

Check	Detail	Status
Datadog Agent	`<N>` pod(s) Running in `<AGENT_NAMESPACE>`	OK
SSI enabled	Targeting namespace `<APP_NAMESPACE>`, language `<LANGUAGE>` v`<MAJOR_VERSION>`	OK
Init container injected	`datadog-lib-<language>-init` present in pod spec	OK
Tracer reporting	Service `<SERVICE_NAME>` appears in `pup apm services list` with `isTraced: true`	OK
APM service visible	`<SERVICE_NAME>` in env `<ENV>`	OK
Traces arriving	`<N>` trace(s) found in the last hour	OK
Data Streams (only if enabled)	`data_streams.latency` series for `<SERVICE_NAME>`, or "pending first message"	OK

Your service in Datadog — click to open:

Construct each URL by substituting real values. Do not print placeholder URLs.

View	URL
Service overview	`https://app.<DD_SITE>/apm/services/<SERVICE_NAME>?env=<ENV>`
Traces explorer	`https://app.<DD_SITE>/apm/traces?query=service:<SERVICE_NAME>%20env:<ENV>`
Service map	`https://app.<DD_SITE>/apm/map?env=<ENV>&service=<SERVICE_NAME>`
Agent fleet	`https://app.<DD_SITE>/fleet-automation`
Data Streams (only if enabled)	`https://app.<DD_SITE>/data-streams`

Security constraints

Never write a raw API key into any file or chat message

Files

ATTRIBUTION.mdAdded by AutoGineer983 B
LICENSELicence file added by AutoGineer1.1 KiB
SKILL.md4.2 KiB

LICENSE

MIT License

Copyright (c) 2026, Datadog <[email protected]>

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Needs an API key, Needs a command-line tool

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

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Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download onboarding-summary.zip

From the author

AutoGineer summary

What it does

When to use it

Advantages

Usage examples

Install

Documentation by datadog-labs

APM Onboarding Summary

Triggers

Context to resolve before acting

Prerequisites

Claude runs

Claude runs

Collect live confirmation data

Claude runs

Present the report

Security constraints

Files

LICENSE

Requirements and compatibility

Security

Attribution and licence

Related skills

Observability And Instrumentation

Spark Memory Thermal Ops

Gke Alert Configuration

Application Performance Observability Engineer

Distributed Debugging Devops Troubleshooter

Distributed Tracing

Download ZIP