Deepdish lets developers manage and edit content directly on Next.js pages, integrating a content layer into the app without a separate CMS interface.
git clone https://github.com/ByteSliceHQ/deepdish.gitDeepdish is an open-source content management tool built specifically for Next.js applications, developed by ByteSliceHQ. It allows developers and teams to manage page content inline, eliminating the need to context-switch to an external CMS dashboard. The project is structured as a monorepo with dedicated packages, a CLI, and UI components, suggesting a composable integration approach. It includes a CLI for project setup and commands, making it straightforward to initialize and configure within an existing Next.js codebase. Deepdish is suited for developer teams who want content editing capabilities embedded directly in their Next.js pages.
[{"step":"Install Deepdish in your Next.js project by running 'npm install deepdish' or 'yarn add deepdish' in your terminal.","tip":"Ensure your Next.js version is 13+ for optimal compatibility with the App Router."},{"step":"Wrap your page component with the Deepdish provider in your layout file: '<DeepdishProvider>{children}</DeepdishProvider>'.","tip":"This enables real-time content editing across all pages in your application."},{"step":"Add editable regions to your components using the 'editable' prop: '<div editable=\"hero-text\">...</div>'","tip":"Use semantic class names for editable regions to make them easily identifiable in the Deepdish dashboard."},{"step":"Access the Deepdish dashboard at 'http://localhost:3000/deepdish' (or your deployed URL) to make live content updates.","tip":"Changes are saved automatically and reflected in real-time without requiring a page refresh."},{"step":"Commit the updated content to your repository to persist changes across environments.","tip":"Use Deepdish's version history to track content changes and roll back if needed."}]
Editing marketing page copy directly within a Next.js app
Initializing a content management layer in a Next.js project via CLI
Managing structured content without a separate CMS platform
Integrating inline content editing into an existing Next.js codebase
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/ByteSliceHQ/deepdishCopy the install command above and run it in your terminal.
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Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use Deepdish to manage and edit content directly on a Next.js page for [PROJECT_NAME]. Update the hero section text to: '[NEW_HERO_TEXT]' and replace the placeholder image in the 'Features' section with the URL '[IMAGE_URL]. Ensure the changes are live immediately and verify the page renders correctly in the browser.
```json
{
"status": "success",
"changes_applied": [
{
"section": "Hero",
"old_content": "Welcome to our platform! Build amazing apps faster.",
"new_content": "Launch your SaaS in days, not months. Try our platform today.",
"timestamp": "2024-05-15T14:30:00Z"
},
{
"section": "Features",
"image_replaced": true,
"old_image_url": "/placeholder/feature-image.jpg",
"new_image_url": "https://cdn.example.com/features/dashboard-preview.png",
"timestamp": "2024-05-15T14:31:00Z"
}
],
"verification": {
"browser_check": "Page rendered successfully at http://localhost:3000",
"console_errors": "None detected",
"mobile_responsive": "Verified"
}
}
```
The Deepdish integration allowed for real-time content updates without requiring a separate CMS login or deployment. The Next.js page now displays the new hero text and updated feature image, with no build process delays. The changes were reflected instantly in the browser, and the page maintained full responsiveness on mobile devices. This demonstrates how Deepdish streamlines content management for developers working with Next.js, eliminating the need for traditional CMS workflows while keeping the content layer tightly integrated with the application codebase.Take a free 3-minute scan and get personalized AI skill recommendations.
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