Agent Skills logo

Agent Skills

Organization
datadog-labs
agent-skills

Datadog skills for AI agents. Essential monitoring, logging, tracing and observability.

Overview

Publisherdatadog-labs
Repositoryagent-skills
Skill nameagent-skills
Stars
172
Forks
28
Bundled files
72
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 72 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by datadog-labs on GitHub. Read the source before you install it.

Installation

Install the Agent Skills AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/datadog-labs/agent-skills.git \
  .claude/skills/agent-skills
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Agent Skills in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Agent Skills on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Agent Skills is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Datadog Skills

Essential Datadog skills for AI agents.

Core Skills

SkillDescription
dd-account-setupEnsure an authenticated Datadog account with a valid API key on the right region; validates keys, fixes wrong-region 403s, signs in or creates an account
dd-apmTraces, services, performance analysis
dd-appsBuild Datadog Apps — scaffold, run, upload, publish, CI/CD
dd-aws-integrationConnect an AWS account to Datadog with Terraform - cross-account IAM role, metrics and resource collection
dd-azure-integrationConnect Azure subscriptions or management groups to Datadog with Terraform - Entra app registration, Monitoring Reader
dd-browser-sdkBrowser SDK setup, RUM, Logs, Session Replay, version migration
dd-docsSearch Datadog documentation
dd-gcp-integrationConnect GCP projects or folders to Datadog with Terraform - keyless service-account impersonation
dd-llmoLLM Observability traces, experiments, evals
dd-logsSearch logs, pipelines, archives
dd-monitorsCreate, manage, mute monitors and alerts
dd-oci-integrationConnect an Oracle Cloud tenancy to Datadog with Terraform - Datadog's official OCI module
dd-product-recommenderRecommend the right Datadog products for a codebase and/or goal (recommendation only)
dd-pupPrimary CLI - all pup commands, auth, PATH setup
dd-software-deliveryCI/CD workflow skills — unblock PR, triage flaky tests
dd-instrument-rumInstrument browser apps with Datadog Browser RUM — React, Next.js, Angular, Vue, Nuxt, Svelte, vanilla

Install

bash
# Install core skills
npx skills add datadog-labs/agent-skills \
  --skill dd-pup \
  --skill dd-monitors \
  --skill dd-logs \
  --skill dd-apm \
  --skill dd-docs \
  --full-depth -y

# Install CI/CD workflow skills
npx skills add datadog-labs/agent-skills \
  --skill dd-software-delivery/unblock-pr \
  --skill dd-software-delivery/triage-flaky-test \
  --full-depth -y

Prerequisites

See Setup Pup for installation and authentication.

Command Execution Policy

Use this order for scoped commands:

  1. Check context first (conversation, prior outputs, known values).
  2. Run discovery commands when required values are missing.
  3. Ask the user only when values remain ambiguous.
  4. Run the target command after required inputs are known.
  5. Avoid speculative commands likely to fail.

Quick Reference

TaskCommand
Search error logspup logs search --query "status:error" --from 1h
List monitorspup monitors list
Schedule monitor downtimepup downtime create --file downtime.json
Find slow tracespup traces search --query "service:api @duration:>500ms" --from 1h
Query metricspup metrics query --query "avg:system.cpu.user{*}"
Check authpup auth status
Refresh tokenpup auth refresh

Auth

bash
pup auth login          # OAuth2 (recommended)
pup auth status         # Check token
pup auth refresh        # Refresh expired token

Token Expiry: OAuth tokens expire (~1 hour). Run pup auth refresh if commands fail with 401/403.

More Skills

Additional skills available shortly.

bash
npx skills add datadog-labs/agent-skills --list --full-depth

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

and 12 more files.

Frequently asked questions

What does the Agent Skills AI skill do?

Datadog skills for AI agents. Essential monitoring, logging, tracing and observability.

Why use Agent Skills on TypingMind?

Because you install it once and use it with any model. Agent Skills is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Agent Skills in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/datadog-labs/agent-skills/tree/main. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Agent Skills?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Agent Skills?

As many as you like. As long as a model supports skills, you can use Agent Skills with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Agent Skills AI skill free?

Yes. It is published on GitHub by datadog-labs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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