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dd-pup

Interact with Datadog APIs to search logs, query metrics, and manage monitors.

975|100|Updated Feb 3, 2026
Search Tags:#troubleshooting#logs#cli#metrics#observability#datadog#monitors
One-click install
npx skills add https://github.com/datadog-labs/pup --skill dd-pup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dd-pup
Source: https://github.com/datadog-labs/pup/tree/main/skills/dd-pup
Command: npx skills add https://github.com/datadog-labs/pup --skill dd-pup

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a powerful command-line interface for interacting with the Datadog observability platform, enabling AI agents to fetch metrics, manage monitors, and troubleshoot issues programmatically.

Core Features & Use Cases

  • Comprehensive Datadog Access: Control over 200+ commands across 33 Datadog products.
  • AI-Agent Ready: Structured JSON/YAML output for easy parsing by AI agents.
  • Secure Authentication: Supports OAuth2 with token refresh and environment variable-based authentication for headless environments.
  • Use Case: An AI agent can use this Skill to automatically search for error logs from the past hour, list active monitors related to the 'api-platform' team, and then create a downtime for a specific monitor if an incident is detected.

Quick Start

Use the dd-pup skill to search for error logs from the past hour.

Frequently Asked Questions about dd-pup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use an AI agent to query Datadog metrics and search logs?▼

You can query Datadog metrics and search logs by using an AI-powered CLI tool that interacts directly with the Datadog observability platform via comprehensive API commands. It outputs structured JSON or YAML for easy AI agent parsing.

Does the Datadog CLI tool support API key authentication for headless environments?▼

Yes, the Datadog CLI tool supports secure authentication using both OAuth2 with token refresh and environment variable-based API keys. This allows AI agents to operate effectively in automated, headless environments.

How do I manage Datadog monitors and retrieve incident data programmatically?▼

You can manage Datadog monitors and retrieve incident data programmatically by executing CLI commands that interact with Datadog APIs. The CLI facilitates creating downtimes, listing active monitors, and fetching incident details for automated troubleshooting.

What is the best way to automate Datadog troubleshooting for error logs?▼

The best way to automate Datadog troubleshooting is using a comprehensive CLI tool that executes over 200 commands across 33 products. It allows AI agents to automatically search recent error logs, analyze metrics, and manage incident responses.

Can I integrate Datadog observability data directly into my automated workflows?▼

Yes, you can integrate Datadog observability data into automated workflows by utilizing a CLI tool designed for AI agents. It fetches metrics and logs, returning structured JSON or YAML outputs that seamlessly integrate into existing automation pipelines.

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