> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nextd.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Knowledge

> Add custom context and guidelines to make your project edits smarter and more aligned with your specific requirements.

## Overview

Transform your development experience with Nextd's Custom Knowledge feature. This powerful system allows you to document project-specific context, guidelines, and preferences that will be automatically applied throughout your entire project lifecycle.

<Tip>
  Custom Knowledge acts as your project's memory - capturing important decisions, standards, and preferences to ensure consistent, intelligent development aligned with your vision.
</Tip>

Every project has unique requirements, constraints, and objectives. By documenting this essential information in Custom Knowledge, you create a persistent context that makes every AI interaction smarter and more targeted to your specific needs.

## Getting Started

To configure Custom Knowledge for your project:

1. **Open Your Project** - Navigate to and open the project where you want to add custom knowledge
2. **Access Project Settings** - Go to your project settings panel
3. **Find Knowledge Panel** - Locate the Knowledge section within the project settings
4. **Configure Your Knowledge** - Add your project-specific context, guidelines, and requirements

<Tip>
  The Knowledge panel in project settings provides an intuitive interface for managing all your project's custom context and guidelines in one centralized location.
</Tip>

## What to Include

### Project Foundation

* **Core Objectives** - Primary goals, success metrics, and key priorities
* **Design Guidelines** - Brand colors, typography, layout principles, and visual standards
* **User Personas** - Target audience characteristics, use cases, and behavioral patterns

### Technical Standards

* **Code Conventions** - Naming patterns, formatting rules, and architectural decisions
* **Security Requirements** - Data protection standards, authentication methods, and compliance needs
* **Performance Benchmarks** - Speed requirements, optimization targets, and technical constraints

### External Resources

* **API Documentation** - Links to external services, endpoints, and integration guides
* **Design Systems** - References to component libraries, style guides, and brand resources
* **Compliance Standards** - Legal requirements, accessibility guidelines, and industry regulations

<Info>
  You don't need to be comprehensive initially. Start with a few key guidelines - even brief context can significantly improve AI assistance quality.
</Info>

## Best Practices

### Implementation Strategy

* **Start Incrementally** - Begin with essential guidelines and expand over time
* **Be Specific** - Clear, actionable instructions work better than vague descriptions
* **Stay Current** - Regular updates ensure knowledge remains relevant as projects evolve

### Effective Documentation

* **Use Examples** - Include specific code snippets, color codes, or design patterns
* **Prioritize Impact** - Focus on decisions that affect multiple aspects of development
* **Create Sections** - Organize information by category for easy reference and maintenance

<Note>
  Custom Knowledge becomes more valuable over time as you refine and expand the context, creating an increasingly intelligent development environment tailored to your project's unique needs.
</Note>

***

*Empower your development workflow with Custom Knowledge - your project's intelligent memory system for consistent, context-aware AI assistance.*