Datadog Cli

OrganizationPopular

softaworks

datadog-cli

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

Overview

Publisher	softaworks
Repository	`agent-toolkit`
Skill name	`datadog-cli`
Stars	2.5K
Forks	226
Bundled files	5
License	MIT
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.
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 softaworks on GitHub. Read the source before you install it.

Installation

Install the Datadog Cli 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/softaworks/agent-toolkit.git /tmp/agent-toolkit
mkdir -p .claude/skills
cp -r /tmp/agent-toolkit/skills/datadog-cli .claude/skills/datadog-cli

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

Use it in TypingMind

Enable Datadog Cli 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 Cli 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 Cli 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

A CLI tool for AI agents to debug and triage using Datadog logs and metrics.

Required Reading

You MUST read the relevant reference docs before using any command:

Log Commands
Metrics
Query Syntax
Workflows
Dashboards

Setup

Environment Variables (Required)

bash
export DD_API_KEY="your-api-key"
export DD_APP_KEY="your-app-key"

Get keys from: https://app.datadoghq.com/organization-settings/api-keys

Running the CLI

bash
npx @leoflores/datadog-cli <command>

For non-US Datadog sites, use --site flag:

bash
npx @leoflores/datadog-cli logs search --query "*" --site datadoghq.eu

Commands Overview

Command	Description
`logs search`	Search logs with filters
`logs tail`	Stream logs in real-time
`logs trace`	Find logs for a distributed trace
`logs context`	Get logs before/after a timestamp
`logs patterns`	Group similar log messages
`logs compare`	Compare log counts between periods
`logs multi`	Run multiple queries in parallel
`logs agg`	Aggregate logs by facet
`metrics query`	Query timeseries metrics
`errors`	Quick error summary by service/type
`services`	List services with log activity
`dashboards`	Manage dashboards (CRUD)
`dashboard-lists`	Manage dashboard lists

Quick Examples

Search Errors

bash
npx @leoflores/datadog-cli logs search --query "status:error" --from 1h --pretty

Tail Logs (Real-time)

bash
npx @leoflores/datadog-cli logs tail --query "service:api status:error" --pretty

Error Summary

bash
npx @leoflores/datadog-cli errors --from 1h --pretty

Trace Correlation

bash
npx @leoflores/datadog-cli logs trace --id "abc123def456" --pretty

Query Metrics

bash
npx @leoflores/datadog-cli metrics query --query "avg:system.cpu.user{*}" --from 1h --pretty

Compare Periods

bash
npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty

Global Flags

Flag	Description
`--pretty`	Human-readable output with colors
`--output <file>`	Export results to JSON file
`--site <site>`	Datadog site (e.g., `datadoghq.eu`)

Time Formats

Relative: 30m, 1h, 6h, 24h, 7d
ISO 8601: 2024-01-15T10:30:00Z

Incident Triage Workflow

bash
# 1. Quick error overview
npx @leoflores/datadog-cli errors --from 1h --pretty

# 2. Is this new? Compare to previous period
npx @leoflores/datadog-cli logs compare --query "status:error" --period 1h --pretty

# 3. Find error patterns
npx @leoflores/datadog-cli logs patterns --query "status:error" --from 1h --pretty

# 4. Narrow down by service
npx @leoflores/datadog-cli logs search --query "status:error service:api" --from 1h --pretty

# 5. Get context around a timestamp
npx @leoflores/datadog-cli logs context --timestamp "2024-01-15T10:30:00Z" --service api --pretty

# 6. Follow the distributed trace
npx @leoflores/datadog-cli logs trace --id "TRACE_ID" --pretty

See workflows.md for more debugging workflows.

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 Cli AI skill do?

Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.

Why use Datadog Cli on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/softaworks/agent-toolkit/tree/main/skills/datadog-cli. 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 Cli?

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 Cli?

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

Is the Datadog Cli AI skill free?

Yes. It is published on GitHub by softaworks 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Datadog CLI

Required Reading

Setup

Environment Variables (Required)

Running the CLI

Commands Overview

Quick Examples

Search Errors

Tail Logs (Real-time)

Error Summary

Trace Correlation

Query Metrics

Compare Periods

Global Flags

Time Formats

Incident Triage Workflow

Bundled files

Frequently asked questions

Related AI Skills

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