Cursor Rules Template for Markdown Docs Portal | Cursor AI | Suhas Bhairav

Overview

Cursor rules template for building a Markdown based developer documentation portal with search, versioning, API references, and AI Q&A using Cursor AI. This Cursor rules template targets a stack where docs are authored in Markdown, API references are integrated via OpenAPI, and Cursor AI guides authors to produce consistent, safe content.

When to Use These Cursor Rules

When building a large developer portal that hosts Markdown content with API references
When you need versioned docs for multiple API releases
When search indexing and fast query results are required for discovery
When you want AI assisted Q&A over documentation for developers
When enforcing a consistent style, structure, and security posture across docs

Copyable .cursorrules Configuration

// Cursor rules block for the Markdown Docs Portal
(
  frameworkRole: 'Cursor AI assistant for a Markdown based dev docs portal',
  context: 'You enforce a standard across docs with versioned Markdown files, API references, search index, and AI Q&A',
  codeStyleAndGuides: 'markdownlint and YAML front matter per document',
  architectureAndDirectories: {
    root: '/docs',
    versionsDir: '/docs/versions',
    apiRefs: '/docs/api/openapi.yaml',
    searchIndex: '/docs/search/index.json'
  },
  authenticationAndSecurity: {
    publicDocsAccess: 'read-only',
    adminTokens: 'CI tokens only'
  },
  databaseAndORM: {
    storage: 'markdown files in docs',
    index: 'optional JSON search index'
  },
  testingAndLinting: {
    unit: ['markdownlint --config .markdownlint.json'],
    integration: ['doc-generator-test'],
    ci: ['github-actions']
  },
  prohibitedActionsAndAntiPatterns: [
    'Do not fetch private data without authorization',
    'Do not execute code from docs',
    'Do not embed secrets in content',
    'Do not skip versioning'
  ]
)

Recommended Project Structure

// Recommended project structure for a Markdown based docs portal
docs/
  v1/
    index.md
    api/
      openapi.yaml
  v2/
    index.md
  search/
    config.json
  qa/
    faq.json
  assets/

Core Engineering Principles

Single source of truth: versioned Markdown docs as the canonical content
Deterministic generation: doc rendering and API refs should be reproducible
Accessible and semantic content: semantic headings, ALT text, and accessible components
Safe AI assisted authoring: Cursor AI helps but cannot alter source truth
Clear separation of content and presentation: content lives in docs, UI in a separate layer
Security by default: public docs are read only; admin changes go through CI

Code Construction Rules

Store content as Markdown with YAML front matter for version, last updated, and API references
File naming follows the pattern docs/vX/slug.md where X is the version
OpenAPI specs must be placed under docs/api/openapi.yaml and referenced in API pages
All docs must be linted with markdownlint; enforce a consistent style across files
Use a centralized search index (docs/search/index.json) for fast retrieval
Use a dedicated AI Q&A page that pulls from the docs and API refs with safe prompts
Do not embed executable code or secrets in Markdown content

Security and Production Rules

Public docs are read-only; any admin actions require CI controlled tokens
Do not commit secrets or API keys in repository files
Set strict Content-Security-Policy headers in hosting configuration
Validate OpenAPI specs against a schema and run API reference tests in CI
Audit dependencies and keep tooling up to date in CI pipelines

Testing Checklist

Lint all Markdown files with markdownlint and fix reported issues
Validate API references against the OpenAPI spec
Run doc generation to ensure renderer outputs stable HTML
Run search index build and verify search results are relevant
Perform smoke tests on AI Q&A responses for accuracy and safety

Common Mistakes to Avoid

Mixing content with presentation logic in Markdown files
Forgetting to version docs and breaking API reference alignment
Storing secrets in Markdown or in repo configuration
Skipping linting and tests in CI for speed of delivery

Related Cursor rules templates

Explore adjacent Cursor rules templates for similar stacks, workflows, and production constraints.

FAQ

What is a Cursor Rules Template page for a Markdown based developer docs portal?

A Cursor Rules Template page provides a structured, copyable .cursorrules configuration and HTML guidance to build a Markdown driven developer docs portal. It covers versioning, API references, search, and AI Q&A, all while enforcing safe AI assisted development patterns with Cursor AI.

How do I enable search and versioning in the docs portal?

Versioning is achieved by storing docs under versioned folders (eg v1, v2) and exposing a docs/versions index. Search uses a dedicated index file at docs/search/index.json that the renderer queries to deliver fast results. Cursor rules guide how to surface versioned content consistently.

How do I integrate API references into the portal?

API references are authored via OpenAPI specs placed at docs/api/openapi.yaml. The Cursor rules enforce linking of OpenAPI data into API reference pages and validating them against a schema, ensuring accuracy and consistency across versions and pages.

How does AI Q&A operate within the docs portal?

AI Q&A uses Cursor AI to fetch and summarize information from Markdown docs and API references. The rules ensure responses remain grounded in source docs, avoid leaking secrets, and present concise, developer-focused answers.

What are the core constraints for Cursor AI in this setup?

The Cursor AI rules restrict actions to reading and aggregating content from Markdown docs and OpenAPI specs, enforce no code execution in docs, require read-only public access, and mandate CI controlled changes for admin actions. It also promotes safe prompts and validates outputs against the content corpus.

Cursor Rules Template: Markdown Docs Portal for Cursor AI

Target User

Use Cases