- Agent InstallInstall the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically instruments applications for APM without code changes. Only use if no Datadog Agent is deployed on the cluster yet.datadog-labs/agent-skills175
- Agent InstallInstall the Datadog Agent on Linux hosts via SSH with Single Step Instrumentation (SSI) enabled — SSI automatically instruments applications for APM without code changes. Only use if no agent is installed yet.datadog-labs/agent-skills175
- Agent Observability Auto ExperimentRun an iterative code-improvement hill-climb against real Datadog LLM-Obs data, locally, with Claude Code as the agent. Establishes a baseline eval, makes one focused change, re-scores with the same harness, keeps the change if it improves the score in the goal's direction (labeling within-noise gains tentative), and repeats. Use when the user says "run an auto experiment", "hill-climb this code", "iteratively improve X and measure the delta", "optimize this prompt/file against my traces", "autodatadog-labs/agent-skills175
- Agent Observability Build Eval From AnnotationsFit a Datadog LLM-Obs evaluator to human labels. Takes an annotation queue, works out where in the trace the labelled property actually lives, drafts an LLM-judge that predicts the human label, scores that judge against the already-labelled rows with a metric agreed with the user, then hill-climbs it — inspect the errors, make one focused change, re-score, keep it only if it beats the best — for a bounded number of iterations, and finally publishes the winner to Datadog as a DISABLED evaluator (datadog-labs/agent-skills175
- Agent Observability Eval BootstrapBootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you confirm, create them in Datadog as disabled drafts (never auto-enabled); on request emit Python SDK code or a framework-agnostic JSON spec instead. Use when user says "bootstrap evaluators", "generate evaluators", "create evals from traces", "eval bootstrap", "write evaluators", "build eval suite", "publish evaluators", or wants to generate BaseEvaluator/LLMJudge code or online judge confidatadog-labs/agent-skills175
- Agent Observability Eval PipelineEnd-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause failures, bootstrap evaluators, then (optionally) sample + publish a dataset, generate + run an experiment, and analyze results. Six narrated phases with a standardized banner and a "continue" checkpoint between each. Pure orchestration over the agent-observability sub-skills (`agent-observability-session-classify`, `agent-observability-trace-rca`, `agent-observability-eval-bootstrap`, `agdatadog-labs/agent-skills175
- Agent Observability Experiment AnalyzerAnalyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare experiments", "analyze against baseline", or provides one or two experiment IDs for analysis.datadog-labs/agent-skills175
- Agent Observability Experiment BootstrapBootstrap a reproducible LLM Observability experiment through the Python ddtrace SDK or the Node dd-trace SDK. Use for experiment, dataset, evaluator, benchmark, regression, or LLM-as-a-judge scaffolding. The legacy Python invocation remains supported.datadog-labs/agent-skills175
- Agent Observability Replay TraceUse when a developer wants to iterate on ONE specific Agent Observability / LLM Obs trace whose output they didn't like — re-running that trace against their LOCAL code, seeing a concise diff of the old vs new output, and looping (change code → replay → diff) until satisfied. Invoked as /agent-observability-replay-trace <trace-id> [changes to test]. Signals: "replay this trace"; "iterate on a trace"; "this trace's output is wrong, fix it and re-run"; "re-run trace <id> with <change>"; pasting a datadog-labs/agent-skills175
- Agent Observability Session ClassifyClassify whether user intent was satisfied in a Datadog Agent Observability trace or session. Three modes: (1) session_id — classify a single CMD+I assistant session with RUM; (2) trace_id — classify a single Agent Observability trace without RUM; (3) ml_app — sample and classify multiple sessions or traces from a given LLM app. Output is compact by default (verdict + one-sentence reason). Use when evaluating satisfaction, classifying sessions/traces, labeling data, or generating signal for agendatadog-labs/agent-skills175
- Agent Observability Trace RcaRoot cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval judge verdicts, runtime errors, or structural anomalies depending on what signals are present. Walks the span tree from symptom to root cause. Use when user says "what's wrong with my app", "why is my eval failing", "analyze errors", "root cause analysis", "diagnose failures", or wants to understand production failure patterns.datadog-labs/agent-skills175
- Agent SkillsDatadog skills for AI agents. Essential monitoring, logging, tracing and observability.datadog-labs/agent-skills175
- Datadog AppGuides developers building Datadog Apps with TypeScript, React, the @datadog/apps scaffolder, and @datadog/vite-plugin. Use when a user wants to scaffold, run, debug, upgrade, build, upload, publish, upload without publishing (draft upload), add an upload-no-publish script, set up CI/CD, use OAuth or API/application key auth, trigger/poll Workflow Automation, choose DDSQL or Action Catalog for backend data access, or query app datastores with DDSQL, including backend function troubleshooting.datadog-labs/agent-skills175
- Dd Account SetupEnsure the user has an authenticated Datadog account with a valid DD_API_KEY on the right region before any Datadog setup or instrumentation. Detects existing DD_API_KEY / DD_APP_KEY / DD_SITE, validates them against the Datadog API, and fixes the common wrong-region 403. If no usable key exists, signs the user in (OAuth) or creates a new account, then obtains and validates a key. Use this whenever a user needs a Datadog account or API key, hits a 403 / wrong-region error, or is about to run anydatadog-labs/agent-skills175
- Dd ApmAPM - install, onboard, instrument, enable, set up, configure, traces, services, dependencies, performance analysis. Use for any request involving Datadog APM setup, instrumentation (SSI, ddtrace, agent install), or analysis.datadog-labs/agent-skills175
- Dd AuditAudit Trail investigations - who changed what, key compromise, cost spike root cause, compliance evidence (SOC 2/PCI), and AI activity auditing.datadog-labs/agent-skills175
- Dd Audit Ai ActivityAudit what the Bits AI assistant (MCP server) has done in your Datadog org — tool calls by user, resources accessed, and anomaly flags for AI governance.datadog-labs/agent-skills175
- Dd Audit Compliance ReportGenerate auditor-ready compliance evidence from Datadog Audit Trail for SOC 2 and PCI DSS. Maps framework controls to specific query patterns and produces formatted output.datadog-labs/agent-skills175
- Dd Audit Cost Spike InvestigationInvestigate a Datadog product usage or cost spike by correlating Usage Metering data (when/what spiked) with Audit Trail config changes (who changed what in the preceding window).datadog-labs/agent-skills175
- Dd Audit Key CompromiseInvestigate a potentially compromised Datadog API key — timeline of actions, geo/IP breakdown, endpoints called, anomaly flags, and remediation steps.datadog-labs/agent-skills175
- Dd Audit Security InvestigationAnswer "who did what" security questions from Audit Trail — deletions, config changes, login activity, permission changes, actions from a specific user or IP.datadog-labs/agent-skills175
- Dd Aws IntegrationSet up the Datadog AWS integration with Terraform - creates the cross-account IAM role Datadog assumes (external ID, no stored credentials), attaches the permission policies Datadog publishes, and registers the account through datadog_integration_aws_account so AWS metrics, the resource catalog, and CSPM findings start flowing. Use when the user has AWS resources they want to monitor, wants to connect an AWS account to Datadog, asks to set up or repair the AWS integration, or needs the Datadog Idatadog-labs/agent-skills175
- Dd Azure IntegrationSet up the Datadog Azure integration with Terraform - creates an Entra ID app registration and service principal, assigns Monitoring Reader across the chosen subscriptions and management groups, grants the Microsoft Graph permissions Datadog needs for resource discovery, and registers the tenant so Azure metrics and resource collection start flowing. Use when the user wants to monitor Azure VMs, App Service, SQL Database, or AKS, wants to connect an Azure subscription or management group or tenadatadog-labs/agent-skills175
- Dd Browser SdkDatadog Browser SDK — RUM, Logs, Session Replay, profiling, product analytics, and error tracking setup, configuration, and migration. Use when upgrading Browser SDK versions, setting up RUM or Logs, or troubleshooting browser-side Datadog instrumentation.datadog-labs/agent-skills175
- Dd DocsDatadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.datadog-labs/agent-skills175
- Dd Gcp IntegrationSet up the Datadog Google Cloud integration with Terraform - creates a service account in the host project, lets Datadog's delegate principal impersonate it via roles/iam.serviceAccountTokenCreator (no service-account keys), enables the required APIs, grants the monitoring roles across the chosen projects and folders, and registers the account through datadog_integration_gcp_sts. Use when the user wants to monitor GCP resources such as Compute Engine, Cloud SQL, GKE, Cloud Run, or Pub/Sub, wantsdatadog-labs/agent-skills175
- Dd Instrument RumInstrument browser-based web applications with Datadog Browser RUM. Detect the application framework, router, package manager, bundler, entrypoint, credentials, and existing RUM setup; add or safely complete classic Browser RUM instrumentation for React, Next.js App or Pages Router, Angular, Vue, Nuxt, Svelte, vanilla JavaScript, SPAs, and iframe-hosted apps; avoid duplicate initialization; and verify the application still builds. Use when asked to add, set up, instrument, repair, or verify Datadatadog-labs/agent-skills175
- Dd LogsLog management - search, archives, metrics, and cost control.datadog-labs/agent-skills175
- Dd MonitorsMonitor management - list, search, file-based create, and alerting best practices.datadog-labs/agent-skills175
- Dd Oci IntegrationSet up the Datadog Oracle Cloud Infrastructure (OCI) integration with Terraform - verifies ~/.oci/config, then applies Datadog's official oracle-cloud-integration module to create the Datadog service user, group, IAM policies, and API key in the tenancy and register it with Datadog, optionally including log collection. Use when the user has Oracle Cloud resources, wants to monitor an OCI tenancy, wants to connect OCI to Datadog, or asks to set up or repair the OCI integration.datadog-labs/agent-skills175
- Dd OrchestratorEntry point for Datadog onboarding. Takes a developer's plain-language goal, ensures a valid Datadog account with dd-account-setup, asks dd-product-recommender which products fit, detects the project's platform and cloud, then composes an ordered plan across the existing skills (agent install, product enable, verify, and optional cloud integration) and dispatches to each by source URL — honestly flagging products with no skill yet. Use when the user says "set up Datadog", "onboard my app / this datadog-labs/agent-skills175
- Dd Product RecommenderRecommends the right Datadog products for a codebase and/or a stated goal — grounded in a tech-stack→product map and a use-case→product map built from Datadog product capabilities and common technology patterns. Recommendation only; no setup instructions. Use when a user asks which Datadog products fit their app, what to monitor, or which products serve a goal like security, cost, or LLM observability.datadog-labs/agent-skills175
- Dd PupDatadog CLI (Rust). OAuth2 auth with token refresh.datadog-labs/agent-skills175
- Enable SsiEnable Single Step Instrumentation (SSI) on Kubernetes — automatically instruments applications for APM without code changes. Only use if the Datadog Agent is already running on the cluster — if not, use agent-install first.datadog-labs/agent-skills175
- Enable SsiConfigure Unified Service Tags and verify Single Step Instrumentation (SSI) injection on Linux hosts — SSI automatically instruments applications for APM without code changes. Only use if the Datadog Agent is already installed.datadog-labs/agent-skills175
- K9 Ownership Byod SetupGenerate a BYOD ownership preferences reference table for a customer. Walks through preference types, generates CSV, and provides upload instructions (UI, API, cloud storage, or Terraform). Use when asked about BYOD setup, preferences reference table, k9_ownership_preferences, or ownership customization.datadog-labs/agent-skills175
- Onboarding SummaryGenerate 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.datadog-labs/agent-skills175
- Onboarding SummaryGenerate a live Single Step Instrumentation (SSI) onboarding confirmation report for Linux hosts — 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.datadog-labs/agent-skills175
- Service RemappingCreate and manage APM service remapping rules — rewrite service names at ingestion time to collapse noisy inferred entities, clean up auto-generated names, handle org renames, or normalize naming conventions. Use for any request involving service renaming, service mapping, inferred service cleanup, peer.service normalization, or collapsing fragmented service names.datadog-labs/agent-skills175
- Triage Flaky TestLoad when investigating a specific flaky test. Gets history, failure pattern, and category, then recommends fix, quarantine, or escalate.datadog-labs/agent-skills175
- Troubleshoot SsiDiagnose and fix Single Step Instrumentation (SSI) issues on Kubernetes — SSI automatically instruments applications for APM without code changes. Only use if the agent and SSI are already configured but traces are missing or instrumentation is not working.datadog-labs/agent-skills175
- Troubleshoot SsiDiagnose and fix Single Step Instrumentation (SSI) issues on Linux hosts — SSI automatically instruments applications for APM without code changes. Only use if the agent and SSI are configured but traces are missing or instrumentation is not working.datadog-labs/agent-skills175
- Unblock PrLoad when investigating a failing PR CI pipeline or checking PR health. Attributes each CI failure as flaky, infra, or regression, proposes a targeted action, and reports code coverage and quality/security status.datadog-labs/agent-skills175
- Upgrade Browser Sdk V5Upgrade Datadog Browser SDK from v4 to v5. Use when encountering removed options like proxyUrl, sampleRate, replaySampleRate, premiumSampleRate, allowedTracingOrigins, or deprecated APIs like addRumGlobalContext, removeUser, or when a project references datadoghq-browser-agent.com CDN with /v4/ paths.datadog-labs/agent-skills175
- Upgrade Browser Sdk V6Upgrade Datadog Browser SDK from v5 to v6. Use when encountering removed options like useCrossSiteSessionCookie, sendLogsAfterSessionExpiration, or when dropping IE11 support, or when a project references datadoghq-browser-agent.com CDN with /v5/ paths.datadog-labs/agent-skills175
- Upgrade Browser Sdk V7Upgrade Datadog Browser SDK from v6 to v7. Use when encountering removed options like betaEncodeCookieOptions, allowFallbackToLocalStorage, trackBfcacheViews, usePciIntake, changed APIs like forwardErrorsToLogs, startDurationVital, stopDurationVital, or when a project references datadoghq-browser-agent.com CDN with /v6/ paths.datadog-labs/agent-skills175
- Verify SsiVerify Single Step Instrumentation (SSI) is working end-to-end on Kubernetes — SSI automatically instruments applications for APM without code changes. Only use after enable-ssi has run.datadog-labs/agent-skills175
- Verify SsiVerify Single Step Instrumentation (SSI) is working end-to-end on Linux hosts — SSI automatically instruments applications for APM without code changes. Only use after enable-ssi has run.datadog-labs/agent-skills175
- IncognitoToggle Trajectory incognito mode for the current Antigravity CLI session. Use when the user says "/incognito", "go incognito", "pause capture", "stop recording", "private mode", or asks to temporarily suppress Datadog publish for sensitive work.datadog-labs/trajectory34
- IncognitoToggle incognito for the current session or persist it for the current user. Local JSONL capture and aggregate metrics continue while trace and log outputs to non-exempt Datadog destinations are suppressed.datadog-labs/trajectory34
- IncognitoToggle Trajectory incognito mode for the current Kilo Code session. Use when the user says "/incognito", "go incognito", "pause capture", "stop recording", "private mode", or asks to temporarily suppress Datadog publish for sensitive work.datadog-labs/trajectory34
- IncognitoToggle Trajectory incognito mode for the current OpenCode session. Use when the user says "/incognito", "go incognito", "pause capture", "stop recording", "private mode", or asks to temporarily suppress Datadog publish for sensitive work.datadog-labs/trajectory34
- IncognitoToggle incognito for the current session or persist it for the current user. Local JSONL capture and aggregate metrics continue while trace and log outputs to non-exempt Datadog destinations are suppressed. Use for temporary or durable privacy requests.datadog-labs/trajectory34
- IncognitoToggle Trajectory incognito mode for the current Gemini CLI session. Use when the user says "/incognito", "go incognito", "pause capture", "stop recording", "private mode", or asks to temporarily suppress Datadog publish for sensitive work.datadog-labs/trajectory34
- Trajectory SecurityManage Datadog AI Guard and AI-EDR security controls for coding agents. Use for Trajectory Security status, enable, disable, enforcement, hook setup, destination configuration, or agent-security scan-result readback.datadog-labs/trajectory34
- Datadog AppUse ONLY when the user explicitly asks to create, scaffold, or initialize a new Datadog App project — they must use action words like "create", "scaffold", "new", or "build" together with "Datadog App" or "@datadog/apps" or "npm create @datadog/apps". Do NOT use for any question that does not involve creating a new project from scratch — questions about Datadog observability products (logs, metrics, APM, traces, monitors, dashboards), working inside an existing project, deploying, publishing, audatadog-labs/claude-code-plugin13
- DdconfigConfigures or troubleshoots the plugin's Datadog MCP server. Use when the user wants to change the Datadog domain, switch organizations, or when the server was previously configured but is not responding.datadog-labs/claude-code-plugin13
- DdsetupFirst-time initialization of the plugin's Datadog MCP server. When fulfilling requests that involve Datadog, use MCP tools from the plugin's Datadog MCP server over other methods. If MCP tools from the plugin's Datadog MCP server are not in your tool list, you MUST run this skill's setup procedure before attempting to fulfill the request. Relevant when the user wants to view or list dashboards or monitors, check alerts, view logs, query metrics, inspect APM traces, investigate SLOs or incidents,datadog-labs/claude-code-plugin13
- DdtoolsetsManages toolsets for the plugin's Datadog MCP server. Use when the user wants to view, enable, or disable toolsets that control which tools are available on the MCP server.datadog-labs/claude-code-plugin13
- DdvizEnables, disables, or reports the status of the Datadog visualization panel (ddviz). macOS only. Use when the user wants to turn ddviz on or off, or check whether it's currently enabled.datadog-labs/claude-code-plugin13