ck:mintlify

Build and deploy Mintlify documentation sites from Markdown and MDX.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/nam3886/golang-echo-boilerplate --skill ck-mintlify-nam3886
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: ck:mintlify
Source: https://github.com/nam3886/golang-echo-boilerplate/tree/main/.claude/skills/mintlify
Command: npx skills add https://github.com/nam3886/golang-echo-boilerplate --skill ck-mintlify-nam3886

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

It removes the friction of authoring, configuring, and deploying interactive documentation sites by providing a consistent Mintlify-driven workflow that combines configuration, MDX components, API integration, AI artifacts, and deployment validation.

Core Features & Use Cases

  • Configurable site settings via docs.json including themes, navigation, branding, and environment-specific configs.
  • Rich MDX components and API documentation tools for OpenAPI/AsyncAPI, code examples, mermaid diagrams, and interactive playgrounds.
  • AI and agent readiness with llms.txt, skill.md, MCP support, contextual menus, and integration options for Discord/Slack bots.
  • Deployment and CI/CD support for GitHub/GitLab previews, Vercel, Cloudflare, and S3/CloudFront workflows with validation and accessibility checks.

Quick Start

Run the Mintlify CLI to scaffold a docs project, validate docs.json, and preview the site locally.

Frequently Asked Questions about ck:mintlify

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build and deploy interactive API documentation using MDX and OpenAPI?

To build interactive API documentation, you configure your site using a docs.json file, author content with MDX components, and integrate OpenAPI specifications. You can then validate the configuration locally and deploy the site using CI/CD workflows.

How do I generate AI-ready artifacts like llms.txt for my developer portal?

Generating AI-ready artifacts involves creating llms.txt and skill.md files during the documentation build process. These artifacts enable agent integration and contextual AI interactions, allowing bots and tools to understand your API content.

Can I use Mintlify to configure localization and custom themes for my knowledge base?

Yes, you can configure localization and custom themes for a knowledge base through the docs.json file. This configuration file manages site settings including branding, navigation, environment-specific configs, and visual theming.

What is the best way to deploy a Mintlify docs site to Vercel or Cloudflare?

The best way to deploy documentation sites is by using CI/CD pipelines with GitHub or GitLab previews. The workflow supports deployment to Vercel, Cloudflare, or S3/CloudFront while running validation and accessibility checks beforehand.

Does this approach support AsyncAPI integration and mermaid diagrams in MDX?

Yes, the MDX component rendering supports both AsyncAPI integration and mermaid diagrams. This allows you to generate interactive API references and include complex visual diagrams directly within your documentation content.