cypress-io/cypress-author
VerifiedOpen-source skills that teach AI agents proper Cypress testing patterns.
What is cypress-io/cypress-author?
This open-source package from the Cypress team adds domain-specific knowledge to AI agents. It includes three focused skills plus an MCP server that surfaces project health data from Cypress Cloud.
Skills load as custom instructions so the AI applies current Cypress APIs, selector strategies, and reliability patterns when generating or analyzing tests. The MCP link supplies real-time context about test runs and stability without extra prompting.
Teams already using AI for end-to-end testing will benefit most, especially those maintaining large Cypress suites across multiple contributors.
What you can build with cypress-io/cypress-author
Create and repair tests
Load the author skill when writing new specs or fixing failing ones so the AI follows Cypress conventions instead of generic patterns.
Review and explain suites
Use the explain skill to audit existing tests, onboard teammates, or diagnose flaky behavior before refactoring.
Look up Cypress information
Invoke the docs skill to retrieve accurate, up-to-date details about commands, configuration, or best practices directly inside the agent.
Install cypress-io/cypress-author
npx skills add cypress-io/ai-toolkitnpx skills add cypress-io/ai-toolkit- 1Run the skills package installer with npx or GitHub CLI to pull the toolkit into your environment.
- 2Add the MCP configuration to your agent settings, choosing OAuth or a personal access token.
- 3For Claude, enable the community plugins marketplace and search for the Cypress plugin.
- 4Open your AI tool and start a new session; the skills activate automatically on relevant prompts.
- 5Test with a slash command such as /cypress-author followed by a test-writing request.
cypress-io/cypress-author: pros & cons
Pros
- +Created by the Cypress team so guidance matches current APIs and recommended practices.
- +Works across several popular AI coding environments without custom wrappers.
- +MCP connection brings live project data into the agent conversation.
- +Open source with community input on future additions.
Cons
- –Some agents still require manual cloning until marketplace listings are approved.
- –MCP setup needs either OAuth or token configuration that may not suit every workflow.
- –Skills only help when the AI prompt is Cypress-related; they do not add new runtime features.
Frequently asked questions
Any agent that accepts custom instructions or plugins, including Claude, Cursor, and GitHub Copilot.
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