agent-skills

agent-install

install Datadog Agent on Kubernetes

agent-observability-auto-experiment

run iterative code improvements using Datadog data

agent-observability-eval-bootstrap

bootstrap evaluators from production traces

agent-observability-eval-pipeline

run agent observability and evaluation pipelines

agent-observability-experiment-analyzer

analyze LLM experiment results

agent-observability-experiment-py-bootstrap

generate Python experiment clients for LLM observability

agent-observability-replay-trace

iterate on LLM traces with local code

agent-observability-session-classify

evaluate user intent satisfaction in sessions

agent-observability-trace-rca

diagnose LLM application failures from traces

agent-skills

use Datadog observability skills

datadog-app

build and manage Datadog applications

dd-apm

query Datadog APM traces

dd-audit

investigate Datadog Audit Trails

dd-audit-ai-activity

audit Datadog AI activity

dd-audit-compliance-report

generate Datadog compliance reports

dd-audit-cost-spike-investigation

investigate Datadog cost spikes

dd-audit-key-compromise

investigate Datadog API key compromise

dd-audit-security-investigation

run Datadog security investigations

dd-browser-sdk

configure Datadog Browser SDK for observability

dd-docs

look up Datadog documentation

dd-logs

manage Datadog logs

dd-monitors

manage Datadog monitors and alerting

dd-pup

use Datadog CLI

enable-ssi

enable Kubernetes Single Step Instrumentation