Use the skills in the Observe Skills repository to help you onboard your host data to Observe.

The following AI skills are available:

Prerequisites

You must have the Observe CLI installed for these skills to work. To install the CLI, run this command:

curl -fsSL https://raw.githubusercontent.com/observeinc/cli/main/install.sh | bash

To confirm your installation, run:

observe --version

Skill Installation

Run one of the following instructions to get set up. NB: there are some child skills the two top level skills reference.

# Install all necessary skills
npx skills add observeinc/skills -s debug-linux-host-collection deploy-linux-host-explorer setup-linux-host-backend setup-linux-host-collection

# Or, install all skills in the skills repo, without prompts
npx skills add observeinc/skills --all

# Or choose skills interactively
npx skills add observeinc/skills

Usage

deploy-linux-host-explorer

The example shown here is with Claude Code, but this works for any AI agent. The skill parallels the information collected in the Add Data portal, just collected from your command line/agent.

Information gathering

The skill will first ask a series of questions to gather some basic information about your tenant and infrastructure.

Observe backend setup

After your configuration has been decided, the skill will set up the observe backend objects needed to collect your data. It will first ensure you are correctly authed to the observe CLI.

It will check what is already installed, and install remaining backend objects needed to collect your data. This includes a token for you to save for future use.

Observe Agent configuration

The skill will then ask you how you would like to configure Observe Agent, including add-ons, such as multiline log handling, as shown in the example below:

Observe Agent installation

The skill will print a set of instructions for you to run, which will set up the observe agent on your local host.

Note that the skill is programmed to not run these instructions itself, to prevent unintended infrastructure changes.

Verification

After all resources have been installed, the skill will check that data is flowing, and provide links to view your data. If there are any problems, the skill will call debug-host-linux-collection (see below).

Handoff

You can continue adding data by instrumenting apps you may be running in Kubernetes or on a host machine. The skill will point you to our Auto-Instrumentation Skill, which will guide you through that journey.

debug-linux-host-collection

This skill looks for bugs by walking through a checklist of places where problems may occur, drilling down if an issue is found. After changes, the agent will check if data that is expected to be received is actually being received.

User agent setup verification

Roughly, the skill will check:

1. Tenant information
2. Observe Agent status
3. Live Observe Agent Logs
4. The config file
5. Internal Collector Internal Metrics
6. Endpoint connectivity issues

Fix verification

The skill will confirm the following:

1. The agent has been restarted since the latest config changes
2. OTEL collectors are producing data
3. Datasets are receiving data
4. The data in Observe matches customer expectations

Miscellaneous debugging options

In case the signal is not strong enough from the above investigations, the agent can also prompt the user to turn on Debug Logging, as well as prompting the user to run a hard uninstall/reinstall. There are also some common error patterns the skill will check against.

Read more

Use AI to install the Observe Agent on Kubernetes

Overview of Data Onboarding and Instrumentation skills