Datadog Metrics

Community

automateyournetwork

datadog-metrics

Query metrics and explore dashboards in Datadog.

Overview

Publisher	automateyournetwork
Repository	`netclaw`
Skill name	`datadog-metrics`
Stars	680
Forks	189
Bundled files	Instructions only
License	Apache-2.0
Links	Skill source Repository

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.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by automateyournetwork on GitHub. Read the source before you install it.

Installation

Install the Datadog Metrics 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.
https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/datadog-metrics
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/automateyournetwork/netclaw/tree/main/workspace/skills/datadog-metrics

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/automateyournetwork/netclaw.git /tmp/netclaw
mkdir -p .claude/skills
cp -r /tmp/netclaw/workspace/skills/datadog-metrics .claude/skills/datadog-metrics

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

Use it in TypingMind

Enable Datadog Metrics 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 Metrics 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 Metrics 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 Metrics Skill

Query metrics and explore dashboards in Datadog.

Tools

Tool	Description
`query_metrics`	Execute metric queries with aggregations
`list_metrics`	List available metrics matching a pattern
`get_metric_metadata`	Get metadata for a specific metric
`list_dashboards`	List all available dashboards
`get_dashboard`	Get dashboard definition and widgets

Example Queries


Query CPU utilization for network devices
→ query_metrics(query="avg:system.cpu.user{role:network_device} by {host}", time_range="1h")

Get interface traffic metrics
→ query_metrics(query="sum:network.bytes_rcvd{*} by {interface}", time_range="4h")

List all network-related metrics
→ list_metrics(pattern="network.*")

Get a specific dashboard
→ get_dashboard(dashboard_id="abc-def-123")

Workflows

Network Performance Monitoring

Query interface utilization: query_metrics(query="avg:network.bytes_sent{*} by {host,interface}")
Check error rates: query_metrics(query="sum:network.errors{*} by {host}")
Monitor latency percentiles: query_metrics(query="p99:network.latency{*}")
Compare against SLA thresholds

Infrastructure Health Assessment

List all infrastructure metrics: list_metrics(pattern="system.*")
Query CPU/memory across fleet: query_metrics(query="avg:system.cpu.user{*} by {availability_zone}")
Identify outliers and degradation
Check dashboard for historical trends

Capacity Planning

Query peak utilization: query_metrics(query="max:system.disk.used{*} by {host}", time_range="30d")
Calculate growth rate
Forecast exhaustion dates
Generate capacity report

Prerequisites

DD_API_KEY Datadog API key
DD_APP_KEY Datadog application key
DD_SITE Datadog site (optional, defaults to datadoghq.com)

Server

This skill uses the datadog-mcp server via remote MCP transport.

Failure Behavior

On a tool error (timeout, unreachable host, malformed response), report the failure and its error message directly to the user rather than fabricating or guessing at results.
For a confirmed read-only call, check connectivity and retry once if appropriate. For any call that changes state or sends a message, a timeout does not prove the action failed: inspect current state or delivery status before retrying, preserve the required approval/change gates, and do not repeat an action whose outcome is unknown.

Frequently asked questions

What does the Datadog Metrics AI skill do?

Query metrics and explore dashboards in Datadog.

Why use Datadog Metrics on TypingMind?

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

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

Which AI models can use Datadog Metrics?

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 Metrics?

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

Is the Datadog Metrics AI skill free?

Yes. It is published on GitHub by automateyournetwork under the Apache-2.0 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Datadog Metrics Skill

Tools

Example Queries

Workflows

Network Performance Monitoring

Infrastructure Health Assessment

Capacity Planning

Prerequisites

Server

Failure Behavior

Frequently asked questions

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