dd-docs

Datadog docs lookup using docs.datadoghq.com/llms.txt and linked Markdown pages.

npx skills add https://github.com/datadog-labs/agent-skills --skill dd-docs

Datadog Docs

Use this skill to locate Datadog documentation and limits.

LLM-Friendly Documentation

Datadog provides an LLM-optimized documentation index at:

https://docs.datadoghq.com/llms.txt

This file contains:

  • Overview of all Datadog products organized by use case
  • Full list of documentation pages with URLs and descriptions
  • Direct links to Markdown sources (append .md to URLs)

How to Use llms.txt

  1. Fetch the index to understand available documentation:

    curl -s https://docs.datadoghq.com/llms.txt | head -100
    
  2. Search for specific topics:

Examples:

curl -s https://docs.datadoghq.com/llms.txt | grep -i "monitors"
curl -s https://docs.datadoghq.com/llms.txt | grep -i "apm"
curl -s https://docs.datadoghq.com/llms.txt | grep -i "logs"
  1. Fetch specific doc pages (add .md to most Datadog Docs URLs for raw content):
    curl -s https://docs.datadoghq.com/monitors.md
    curl -s https://docs.datadoghq.com/tracing.md
    

Key Documentation Sections

TopicURL
APM/Tracinghttps://docs.datadoghq.com/tracing/
Logshttps://docs.datadoghq.com/logs/
Metricshttps://docs.datadoghq.com/metrics/
Monitorshttps://docs.datadoghq.com/monitors/
Dashboardshttps://docs.datadoghq.com/dashboards/
Securityhttps://docs.datadoghq.com/security/
Syntheticshttps://docs.datadoghq.com/synthetics/
RUMhttps://docs.datadoghq.com/real_user_monitoring/
Incidentshttps://docs.datadoghq.com/service_management/incident_management/
API Referencehttps://docs.datadoghq.com/api/

Scope Guardrails

  • Use llms.txt for documentation lookups
  • Defer to official docs for feature availability and limits

Failure Handling

  • If docs.datadoghq.com is unreachable, check network connectivity
  • For region-specific docs, use appropriate site (datadoghq.eu, etc.)

More skills from datadog-labs

dd-audit
datadog-labs
Audit Trail investigations - who changed what, key compromise, cost spike root cause, compliance evidence (SOC 2/PCI), and AI activity auditing.
official
agent-install
datadog-labs
Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which automatically…
official
agent-observability-auto-experiment
datadog-labs
Run 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…
official
agent-observability-eval-bootstrap
datadog-labs
Bootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you confirm, create them in Datadog as disabled drafts…
official
agent-observability-eval-pipeline
datadog-labs
End-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause failures, bootstrap evaluators, then (optionally)…
official
agent-observability-experiment-analyzer
datadog-labs
Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when user says "analyze experiment", "compare…
official
agent-observability-replay-trace
datadog-labs
Use 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…
official
agent-observability-trace-rca
datadog-labs
Root cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval judge verdicts, runtime errors, or structural…
official