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Dd Docs

DatadogOfficialCreated by datadog-labs

  • Skill
  • Tool integration
  • Cloud and DevOps
  • MIT
  • No issues found

From the author

Look up Datadog documentation, limits, and feature availability. Prefer search_datadog_documentation when that MCP tool is available, then one Markdown page from docs.datadoghq.com/llms.txt. For API reference, use pup docs api.
— the description by datadog-labs

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

dd-docs provides a structured approach for AI agents to query Datadog's official documentation. It prioritizes the use of specific MCP tools for search and retrieval, falling back to direct API reference lookups and structured Markdown documentation pages when necessary. The skill emphasizes efficiency by instructing the agent to use the smallest possible source of information and to cite URLs for all retrieved data.

What it does

  • Searches Datadog documentation using available MCP tools.
  • Retrieves specific API endpoint details and request schemas.
  • Accesses structured documentation via Datadog's llms.txt index.
  • Provides a hierarchy of sources to ensure the most relevant information is found quickly.
  • Supports multi-language documentation search.

When to use it

  • When you need to verify Datadog feature availability or platform limits.
  • When you require specific API endpoint documentation or request schemas.
  • When you need to look up configuration patterns or best practices from official Datadog guides.

Advantages

  • Reduces hallucination by prioritizing official documentation sources.
  • Optimizes token usage by fetching only the necessary parts of long documentation pages.
  • Provides a clear, step-by-step logic for information retrieval.
  • Enables direct access to live API reference data.

Usage examples

“How do I configure a threshold alert for a Datadog monitor?”
The agent searches the documentation, identifies the relevant monitor configuration page, and provides the specific steps and URL.
“What is the request schema for the Datadog events API?”
The agent uses the API reference tool to fetch the specific schema for the events endpoint and presents the required fields.

Install

  1. Download the skill as a ZIP:

    https://autogineer.com/agent-skills/datadog-labs/dd-docs/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip dd-docs.zip -d .agents/skills

Documentation by datadog-labs

Datadog Docs

Use the smallest source that answers the question, then stop. Cite the page URL you used.

  1. search_datadog_documentation is available → Search.

  2. The question is an API endpoint or request schema, and search did not answer it → API.

  3. Otherwise → Page.

search_datadog_documentation (MCP toolset documentation, no extra permission) returns at most 10 source passages with links. It does not write an answer. It supports English, French, Japanese, Korean, and Spanish.

Call read_datadog_documentation with one source URL or document id only when a passage is not enough. It returns long pages in parts; stop at the part that answers.

If the tool is not in your tool list, skip this section. Enabling the toolset is a separate setup task.

API

Pup reads the live API reference and needs no auth. Commands, smallest first:

pup docs api <topic> --operations
pup docs api <topic>

The operations list is the small result. Fetch pup docs api <topic> <operation> only when you need that operation's request schema: the page includes every sample. Skip pup docs api with no topic.

Page

https://docs.datadoghq.com/llms.txt is the section index. Open the one section index it links to, then fetch one page by appending .md:

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

Documentation is served from docs.datadoghq.com. Site-specific values, such as API endpoints, are selected on that page.

Files

Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Created by
datadog-labs
Publisher
Datadog (Official)
Source
datadog-labs/agent-skills · dd-docs · commit 8e1306a
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced

AutoGineer is not affiliated with or endorsed by datadog-labs or Datadog.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download dd-docs.zip