Datadog

Organization

letta-ai

datadog

Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API. Use when investigating production issues, checking monitors, searching logs, or accessing Datadog data.

Overview

Publisher	letta-ai
Repository	`skills`
Skill name	`datadog`
Stars	144
Forks	25
Bundled files	5
Links	Skill source Repository Homepage

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by letta-ai on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/letta-ai/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/tools/datadog .claude/skills/datadog

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Datadog 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 Datadog 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 Datadog 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 CLI

Direct API access to Datadog observability data — logs, metrics, monitors, dashboards, hosts, and APM spans.

Prerequisites

Set these environment variables:

bash
export DD_API_KEY="your-32-char-hex-api-key"
export DD_APP_KEY="your-application-key"
export DD_SITE="us5.datadoghq.com"  # or datadoghq.com, datadoghq.eu, etc.

Get keys from Datadog:

API Key: Organization Settings → API Keys
App Key: Organization Settings → Application Keys

Required scopes (for read-only access):

dashboards_read, monitors_read, metrics_read, logs_read_data, incidents_read, hosts_read, apm_read

Quick Start

bash
# Test credentials
npx tsx <skill-path>/scripts/datadog.ts validate

# Search logs
npx tsx <skill-path>/scripts/datadog.ts search-logs "status:error" --from -1h

# Query metrics
npx tsx <skill-path>/scripts/datadog.ts query-metrics "avg:system.cpu.user{*}" --from -4h

# List monitors
npx tsx <skill-path>/scripts/datadog.ts list-monitors

Commands

Logs

bash
# Search logs (default: last hour, 50 results)
npx tsx <skill-path>/scripts/datadog.ts search-logs "service:api status:error"
npx tsx <skill-path>/scripts/datadog.ts search-logs "env:prod" --from -30m --limit 100

Metrics

bash
# Query metric timeseries
npx tsx <skill-path>/scripts/datadog.ts query-metrics "avg:system.cpu.user{*}" --from -4h
npx tsx <skill-path>/scripts/datadog.ts query-metrics "sum:requests.count{service:api}.as_count()" --from -1d

Monitors

bash
# List all monitors
npx tsx <skill-path>/scripts/datadog.ts list-monitors

# Filter monitors
npx tsx <skill-path>/scripts/datadog.ts list-monitors --query "status:alert"

# Get specific monitor
npx tsx <skill-path>/scripts/datadog.ts get-monitor 12345

Dashboards

bash
npx tsx <skill-path>/scripts/datadog.ts list-dashboards

Hosts

bash
npx tsx <skill-path>/scripts/datadog.ts list-hosts
npx tsx <skill-path>/scripts/datadog.ts list-hosts --filter "env:production"

Incidents

bash
npx tsx <skill-path>/scripts/datadog.ts list-incidents

APM (Spans & Services)

bash
# Search spans
npx tsx <skill-path>/scripts/datadog.ts search-spans "service:api @http.status_code:500" --from -1h

# List services
npx tsx <skill-path>/scripts/datadog.ts list-services

Time Formats

The --from and --to flags accept:

Relative: -1h, -30m, -1d, -4h
ISO 8601: 2026-03-20T00:00:00Z

Datadog Sites

Region	DD_SITE value
US1	`datadoghq.com`
US3	`us3.datadoghq.com`
US5	`us5.datadoghq.com`
EU	`datadoghq.eu`
AP1	`ap1.datadoghq.com`

Troubleshooting

403 Forbidden:

Check DD_SITE matches your Datadog region
Verify app key has required scopes
Confirm API key is active

Credentials not found:

Ensure DD_API_KEY and DD_APP_KEY are exported
Check for typos in env var names

Bundled files

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

Frequently asked questions

What does the Datadog AI skill do?

Query Datadog observability data (logs, metrics, monitors, dashboards, hosts) via direct API. Use when investigating production issues, checking monitors, searching logs, or accessing Datadog data.

Why use Datadog on TypingMind?

Because you install it once and use it with any model. Datadog 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 Datadog in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/letta-ai/skills/tree/main/tools/datadog. 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 Datadog?

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 Datadog?

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

Is the Datadog AI skill free?

It is published on GitHub by letta-ai. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Datadog CLI

Prerequisites

Quick Start

Commands

Logs

Metrics

Monitors

Dashboards

Hosts

Incidents

APM (Spans & Services)

Time Formats

Datadog Sites

Troubleshooting

Bundled files

Frequently asked questions

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