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datadog

Datadog integration. Manage Monitors, Dashboards, Incidents, Notebooks, Logs, Metrics and more. Use when the user wants to interact with Datadog data.

gora0500 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install gora050/datadog-integration

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

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Skill instructions

Datadog

Datadog is a monitoring and analytics platform for cloud-scale applications. It's used by DevOps teams, developers, and security engineers to monitor servers, databases, tools, and services.

Official docs: https://docs.datadoghq.com/api/

Datadog Overview

  • Dashboard
    • Widget
  • Monitor
  • Incident
  • Log
  • Metric
  • User
  • Team

Use action names and parameters as needed.

Working with Datadog

This skill uses the Membrane CLI to interact with Datadog. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.

Install the CLI

Install the Membrane CLI so you can run membrane from the terminal:

npm install -g @membranehq/cli
First-time setup
membrane login --tenant

A browser window opens for authentication.

Headless environments: Run the command, copy the printed URL for the user to open in a browser, then complete with membrane login complete <code>.

Connecting to Datadog
  1. Create a new connection:
    membrane search datadog --elementType=connector --json
    
    Take the connector ID from output.items[0].element?.id, then:
    membrane connect --connectorId=CONNECTOR_ID --json
    
    The user completes authentication in the browser. The output contains the new connection id.
Getting list of existing connections

When you are not sure if connection already exists:

  1. Check existing connections:
    membrane connection list --json
    
    If a Datadog connection exists, note its connectionId
Searching for actions

When you know what you want to do but not the exact action ID:

membrane action list --intent=QUERY --connectionId=CONNECTION_ID --json

This will return action objects with id and inputSchema in it, so you will know how to run it.

Popular actions

Name Key Description
List Moni...

Source information

Source
github
Repository
openclaw/skills
Path
skills/gora050/datadog-integration
Version
—
Commit
46f7bdc8c73fbc53625eafb04558dca7c67f29af
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# Datadog

Datadog is a monitoring and analytics platform for cloud-scale applications. It's used by DevOps teams, developers, and security engineers to monitor servers, databases, tools, and services.

Official docs: https://docs.datadoghq.com/api/

## Datadog Overview

- **Dashboard**
  - **Widget**
- **Monitor**
- **Incident**
- **Log**
- **Metric**
- **User**
- **Team**

Use action names and parameters as needed.

## Working with Datadog

This skill uses the Membrane CLI to interact with Datadog. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.

### Install the CLI

Install the Membrane CLI so you can run `membrane` from the terminal:

```bash
npm install -g @membranehq/cli
```

### First-time setup

```bash
membrane login --tenant
```

A browser window opens for authentication.

**Headless environments:** Run the command, copy the printed URL for the user to open in a browser, then complete with `membrane login complete <code>`.

### Connecting to Datadog

1. **Create a new connection:**
   ```bash
   membrane search datadog --elementType=connector --json
   ```
   Take the connector ID from `output.items[0].element?.id`, then:
   ```bash
   membrane connect --connectorId=CONNECTOR_ID --json
   ```
   The user completes authentication in the browser. The output contains the new connection id.

### Getting list of existing connections
When you are not sure if connection already exists:
1. **Check existing connections:**
   ```bash
   membrane connection list --json
   ```
   If a Datadog connection exists, note its `connectionId`


### Searching for actions

When you know what you want to do but not the exact action ID:

```bash
membrane action list --intent=QUERY --connectionId=CONNECTION_ID --json
```
This will return action objects with id and inputSchema in it, so you will know how to run it.


## Popular actions

| Name | Key | Description |
|---|---|---|
| List Moni...

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