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Agent Skills are an open standard supported by many AI agents and coding assistants including Claude Code, Cursor, OpenAI Codex, and others. Skills are reusable and modular capabilities for AI agents. They provide procedural knowledge that helps agents accomplish Checkly tasks more effectively. Think of Checkly Skills as an extension of your AI agent that enhances it with Checkly specific best practices and capabilities.

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Installation

Use the Checkly CLI skills command to install Checkly skills globally or in your project:
After installation, restart your AI agent to load the skills.

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Usage

Now when your agent needs to perform a Checkly-related task, it can automatically pull in the relevant context and use the provided instructions and resources to execute the task effectively.
Claude Code Example

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Examples

The Monitoring as Code workflow is by default AI-native because LLMs are excellent at writing and editing Checkly constructs code and modern AI agents can execute CLI commands easily. Provide the necessary Checkly context and let your AI agent of choice do the rest.

Create new checks, alert channels or other constructs

“Can you set up a new BrowserCheck for example.com?”

Bulk-update your monitoring resources

“Can you change all checks to run every 5 minutes instead of every 10 minutes?”

Gather information about alerts and your monitoring setup

“I just received an alert. Can you tell me details about the failing checks?”

Handle and communicate incidents

“Can you please open an incident and investigate a fix?”
Using Checkly, you can now control your monitoring setup with AI agents without needing a specific MCP server or API for your monitoring. Tell your agent what you want to do and it will access the necessary context and use the CLI to manage your monitoring setup effectively.

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Skill Details

Create and manage monitoring checks, alert channels, dashboards, status pages, and other Checkly constructs using the CLI.Invoke explicitly:
Example prompts:
  • “Create a URL monitor for api.example.com that checks every 5 minutes”
  • “Set up a browser check that logs into my app and verifies the dashboard loads”
  • “Add a Slack alert channel for my production check group”
CLI usage:
Access check status, analyze failures, trigger on-demand runs, and debug errors across your monitoring setup.Invoke explicitly:
Example prompts:
  • “Show me which checks are currently failing”
  • “Investigate why the login browser check started failing yesterday”
  • “Trigger an on-demand run of my API health check”
CLI usage:
Open and manage incidents and lead customer communications via status pages.Invoke explicitly:
Example prompts:
  • “Create a new incident for the API outage and post it to the status page”
  • “Update the current incident with a resolution message”
  • “List all open incidents”
CLI usage:
Understand your account plan, entitlements, feature limits, and available monitoring locations.Invoke explicitly:
Example prompts:
  • “What features are available on my current Checkly plan?”
  • “Which monitoring locations can I use?”
  • “Check if my plan supports private locations”
CLI usage:

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Additional resources