DataDog pup
COMMUNITYLABSCO SUMMARY
The eleven account-gated skills split by product surface: dd-apm covers traces, services and dependencies; dd-logs handles search, pipelines, archives and cost control; dd-monitors creates, updates and mutes monitors; dd-debugger places live log probes on a running service to inspect real argument values without a redeploy; dd-symdb searches service symbols for probe-able methods; dd-triage-flaky-test and dd-unblock-pr investigate CI failures and attribute them as flaky, infra, or regression; dd-file-issue routes GitHub issues to the right repository; dd-code-generation either runs a pup command directly or generates code that calls it for integration into an application; and pup itself and dd-pup together document the CLI's own claimed 49 command groups and 300-plus subcommands and its OAuth2 login with token refresh. The twelfth, dd-docs, is the one exception — it reads docs.datadoghq.com/llms.txt and linked pages, no Datadog account required.
This is for a team already running production Datadog that wants an agent to query monitors, logs, traces or CI health without leaving a chat session, or to triage a specific flaky test or blocked PR. It is not useful to evaluate before that account and its API/application keys exist — pup auth login gates eleven of the twelve skills, and none of them substitute for actually having Datadog installed.
READ THE FULL ANALYSIS
On the readme's own voice. It leans on a dog metaphor throughout — "Give Your Agent a Puppy," "sniff out errors," "housetrained" — and frames the release as a competitive race ("Companies like Vercel and AWS are racing to make their platforms agent-accessible, but we're leading the pack"). That framing is Datadog's own marketing copy for the CLI, not a claim we are making about the skills themselves.
ALSO IN THIS PACKAGE
pup
Datadog API CLI with 49 command groups, 300+ subcommands. Skills and domain agents for monitoring, logs, APM, security, and infrastructure.
agentless scanning
Specialized agent for managing Datadog Agentless Scanning - configure cloud security scanning for AWS and Azure resources without requiring Agents
api management
Manage Datadog API keys and Application keys for authentication and programmatic access. Handles creation, listing, updating, and deletion of keys.
apm configuration
Manage Datadog APM configuration including retention filters for span indexing and span-based metrics generation from distributed traces.
app builder
Manage Datadog App Builder applications including listing, creating, updating, publishing, and managing custom low-code internal tools.
application security
Manage Application Security Management (ASM) including WAF rules, threat detection, API protection, and application-level security monitoring.
audience management
Query and segment RUM users and accounts, manage data connections to enrich audience data with external sources like CRMs and reference tables.
audit logs
Query and manage Datadog Audit Trail events for compliance, security auditing, and tracking user actions across the platform.
aws integration
Configure and manage AWS integration for monitoring, log collection, and resource tracking across AWS accounts and services.
azure integration
Configure and manage Azure integration for monitoring, log collection, and resource tracking across Azure subscriptions and services.
case-management
Manage Datadog Case Management — cases, projects, comments, assignments, and project workflows.
cicd
Manage CI/CD Visibility including test monitoring, pipeline analytics, DORA metrics, and deployment gates.
cloud cost
Manage Datadog Cloud Cost Management including multi-cloud configuration, cost allocation rules, custom costs, and budget tracking.
cloud workload security
Manage Cloud Security Management (CSM) Threats and Workload Protection including agent rules, policies, and deployment monitoring.
container monitoring
Monitor Kubernetes and containerized environments including Docker, pods, deployments, and cluster health metrics. For infrastructure host inventory, use the Infrastructure agent.
dashboards
Manage Datadog dashboards including listing, viewing, creating, updating, and deleting dashboards with their widgets and configurations.
data deletion
Specialized agent for managing GDPR and data privacy compliance through targeted deletion of logs data based on queries and timeframes.
data governance
Comprehensive agent for managing Datadog data governance including access control (datasets, IP/domain allowlists, restriction policies), data enrichment (reference tables), and data protection (sensitive data scanner).
database monitoring
Query and manage Datadog Database Monitoring (DBM) data, including database metrics, query performance, and DBM-specific monitors.
error tracking
Manage Datadog Error Tracking including issue search, triage, assignment, and lifecycle management.
events
Manage Datadog events including event submission, search, filtering, and custom event stream management.
fleet automation
Manage Datadog Agent fleet automation including agent discovery, configuration deployments, package upgrades, and scheduled maintenance windows.
gcp integration
Configure and manage GCP integration for monitoring, log collection, and resource tracking across Google Cloud projects and services.
incident-response
Complete incident response workflow - on-call management, incident tracking, and coordination for service reliability
infrastructure
List and manage infrastructure hosts across all environments (VMs, cloud instances, physical servers, container hosts). For container performance monitoring, use the Container Monitoring agent.
kafka
Inspect Kafka topics/brokers, schema registry, client configs, and on-demand read of Kafka messages. Auto-discovers cluster ID, bootstrap servers, latest produced offset, and consumer-group offsets/lag from Datadog metrics before invoking reads.
log configuration
Manage Datadog log configuration including archives, pipelines, indexes, and custom destinations for log forwarding to external systems.
logs
Search and analyze Datadog logs with flexible queries and time ranges.
metrics
Query, submit, and manage Datadog metrics. Handles time-series data retrieval and custom metric submission.
monitoring alerting
Comprehensive monitoring and alerting management including monitors, templates, notification routing, and downtimes. Complete lifecycle from creation to alert delivery to maintenance windows.
network performance
Manage Datadog Network Performance Monitoring (NPM) and Network Device Monitoring (NDM) including connection analytics, DNS traffic, and device monitoring.
notebooks
Manage Datadog Notebooks for collaborative investigation, documentation, and reporting with mixed content cells.
observability pipelines
Specialized agent for managing Datadog Observability Pipelines - configure data collection, processing, and routing pipelines within your infrastructure
organization management
Comprehensive organization management including configurations, connections, roles, and permissions.
powerpacks
Manage Datadog Powerpacks for creating and sharing reusable dashboard widget templates across teams and organizations.
rum metrics retention
Manage RUM-based metrics and retention filters for Real User Monitoring data. Create custom metrics from RUM events and control data retention with sampling filters.
rum
Query Real User Monitoring events and analytics.
saml configuration
Configure SAML Single Sign-On (SSO) by uploading Identity Provider (IdP) metadata for secure authentication integration.
scorecards
Manage Datadog Service Scorecards including rules, outcomes, and service evaluation for organizational best practices and compliance tracking.
security posture management
Manage Cloud Security Posture Management (CSPM), vulnerability management, security findings, SBOM analysis, and CSM coverage monitoring.
security
Query security monitoring signals and manage security rules.
service catalog
Explore and manage Datadog service and software catalog data with verified Pup commands, including ownership, definitions, kinds, and relationships.
slos
Manage Service Level Objectives including listing, viewing, and deleting SLOs.
spark pod autosizing
Optimize Apache Spark workload configurations with AI-powered resource recommendations based on historical usage patterns. Get rightsized CPU, memory, and storage recommendations for Spark drivers and executors.
static analysis
Manage Static Code Analysis (SAST) and Software Composition Analysis (SCA) for code quality, security vulnerabilities, and dependency management.
synthetics
Manage synthetic tests including listing and viewing test configurations.
third party integrations
Manage third-party integrations including PagerDuty, Slack, OpsGenie, Microsoft Teams, Fastly, Confluent Cloud, Cloudflare, and Okta account configurations.
traces
Query APM traces and spans for distributed tracing analysis.
usage metering
Query Datadog usage and billing across all products including infrastructure hosts, logs, metrics, APM, synthetics, and view cost attribution by tags.
user access management
Comprehensive user and team management including users, service accounts, teams, memberships, SCIM, authentication mappings, and permissions.
workflows
Manage Datadog Workflow Automation including workflow creation, execution, monitoring, and connection management.
WHAT'S INSIDE
12 showing · 12 totalNothing else to set up — install it and go.
dd-apm
Datadog records every request as it travels through your app, and this is how you interrogate that record from a terminal instead of clicking around a dashboard.
dd-code-generation
Two ways to reach Datadog from one request: run it now and see the answer, or take the same operation back as code you can paste into your own app.
dd-debugger
Asks a piece of live software what values it is actually handling, right now, without stopping it or shipping a new version of the code.
dd-docs
Answers Datadog questions out of Datadog's own documentation, using the index Datadog publishes specifically for AI tools to read.
dd-file-issue
Writes up a problem you hit with Datadog's pup command-line tool as a proper bug report — what happened, how to repeat it, which version — and files it on GitHub.
dd-logs
In Datadog, every log line you keep costs money — this is the searching, filtering and archiving side of logs, written around that fact.
dd-monitors
Sets up and tends the alerts that wake someone up when a system misbehaves, plus the rules of thumb for thresholds that don't cry wolf.
dd-pup
The cheat sheet for Datadog's command-line tool — one section per area of Datadog, showing the exact command to type for the thing you want.
dd-symdb
Searches the list of classes and functions inside a live service, so you can find the exact name of the one you want to look at.
dd-triage-flaky-test
Takes one test that fails at random, works out how often it fails and why, then says whether to fix it, take it out of the way, or escalate it.
dd-unblock-pr
A red build, gone through check by check — each failure labelled with what caused it and the single next step, so you can see which ones are actually yours to fix.
pup
Datadog's own command-line tool — logs, alerts, traces, incidents, hosts, all from a terminal — packaged with ready-made helpers for AI coding assistants.
HOW TO GET IT
npx skills add DataDog/pupnpx skills add DataDog/pup --skill <name> --full-depthPick the skill name from the Skills tab — each entry there installs independently.
/plugin marketplace add DataDog/pup/plugin install pup@datadog-pupTyped inside the agent's own prompt, not in a terminal. The marketplace is called datadog-pup, which is the part after the @.