agent-skills

Define frontmatter-driven Datadog skill catalogs for AI agents.

150|23|Updated Feb 3, 2026

Search Tags:#ai #skills #agents #observability #workflows #datadog #pup

Ready to run

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

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: agent-skills
Source: https://github.com/datadog-labs/agent-skills/tree/main
Command: npx skills add https://github.com/datadog-labs/agent-skills --skill agent-skills-datadog-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The Agent Skills repository consolidates and documents Datadog skills for AI agents, enabling easy discovery, versioning, and onboarding of capabilities across Pup-based workflows and MCP integrations.

Core Features & Use Cases

Central collection of core skills such as dd-pup, dd-monitors, dd-logs, dd-apm, dd-docs, dd-llmo, and dd-browser-sdk.
Guides for installing, authenticating, and composing skills to power AI agent workflows.
Extensible frontmatter-driven Skill definitions with optional resources (scripts/, references/, assets/).

Quick Start

Install Pup, authenticate, and begin evaluating or composing skills for AI agents.

Frequently Asked Questions about agent-skills

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

FAQPage Schema

What is a centralized catalog of Datadog AI agent skills?▼

A centralized catalog of Datadog AI agent skills is a frontmatter-driven repository that consolidates observability capabilities, enabling AI agents to discover, compose, and extend skills like logs and monitors via SKILL.md context loading.

How do I install and authenticate Datadog skills for AI agent workflows?▼

To install and authenticate Datadog skills for AI agent workflows, you first install Pup, complete the authentication process, and then begin evaluating or composing the available skills to integrate into your AI agents.

Can I use Datadog observability skills with my existing MCP integrations?▼

Yes, you can use Datadog observability skills with MCP integrations; the catalog is explicitly designed to support Pup-based workflows and MCP integrations for extending AI agent capabilities across core observability tasks.

What core observability skills are available for AI agents in this catalog?▼

The core observability skills available for AI agents include dd-pup, dd-monitors, dd-logs, dd-apm, dd-docs, dd-llmo for LLM observability, and dd-browser-sdk, all designed to be loaded into agent context.

How do frontmatter-driven skill definitions support on-demand execution?▼

Frontmatter-driven skill definitions support on-demand execution by allowing skill unit metadata to reference optional resources and subdirectories, such as scripts, references, and assets, for dynamic lookup and execution within agent workflows.

Does the Datadog agent skills catalog support versioning and onboarding for new capabilities?▼

Yes, the Datadog agent skills catalog supports versioning and onboarding by consolidating documentation and frontmatter-driven definitions, enabling easy discovery and integration of new capabilities across Pup-based workflows.