tegwick afe6bcf6fe feat: implement ChatGPT document theme for compact interactive reading (Issue #165)
Add comprehensive ChatGPT-style document theme optimized for modern interactive content:

**Theme Features:**
- Inter font family for clean, modern sans-serif typography
- Compact 580px width for chat-like reading experience
- High contrast (#1f1f1f text on white background)
- ChatGPT signature green (#10a37f) accent color
- Tight 1.5 line height for efficient information density
- Modern 8px border radius for contemporary feel
- Optimized code block styling with proper monospace fonts

**Technical Implementation:**
- Added 'chatgpt' theme to LAYERED_THEMES system (document scope)
- Full backward compatibility with TEMPLATE_STYLES and LEGACY_THEME_MAPPING
- CLI integration: `markitect md-render --theme chatgpt`
- Proper theme layering support (combines with light/dark modes)

**Quality Assurance:**
- Comprehensive 9-test suite covering all functionality (9/9 passing)
- Verified HTML generation and CSS styling
- Tested CLI integration and theme combinations
- Full compatibility with existing theme architecture

Successfully closes Issue #165 with compact, readable layout optimized for
interactive content following ChatGPT's interface design principles.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
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MarkiTect Documentation

Welcome to the MarkiTect documentation. This directory contains comprehensive documentation for developers, users, and contributors.

Documentation Structure

📐 Architecture Documentation (architecture/)

Deep technical documentation about system design, performance, and implementation details.

  • Caching System - Why and how MarkiTect's AST caching delivers 60-85% performance improvements
  • Coming soon: Database Schema, CLI Architecture, Plugin System

👥 User Guides (user-guides/)

End-user documentation for working with MarkiTect CLI and features.

  • Coming soon: Getting Started, Command Reference, Best Practices

🔧 Development Documentation (development/)

Documentation for contributors and developers extending MarkiTect.

  • Coming soon: Contributing Guide, Testing Strategy, Release Process

For Users

For Developers

Project Management

Key Concepts

Core Architecture Principles

  1. Parse Once, Use Many Times - AST caching for 60-85% performance improvement
  2. Convention Over Configuration - Sensible defaults with minimal setup
  3. Schema-Driven Processing - Structured markdown with validation
  4. Relational Metadata - Database-powered document relationships

Performance Philosophy

MarkiTect treats markdown documents as structured, queryable data rather than plain text. This approach enables:

  • Lightning-fast document processing through intelligent caching
  • Complex querying and relationship management
  • Schema validation and consistency enforcement
  • Scalable performance that grows with your content

Contributing to Documentation

Documentation follows the same quality standards as code:

  1. Clear Structure - Logical organization and navigation
  2. Practical Examples - Real-world usage patterns
  3. Performance Context - Why architectural decisions matter
  4. User-Focused - Written for the intended audience

Documentation Standards

  • Use clear, concise language
  • Include practical examples
  • Explain the "why" behind design decisions
  • Keep technical accuracy as the highest priority
  • Update docs when changing functionality

This documentation is maintained alongside the codebase. For the most current information, always refer to the latest version in the repository.

Description
An advanced markdown engine
https://coulomb.social/open/MarkiTect
Readme 34 MiB
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Languages
Python 84.7%
JavaScript 8%
HTML 5.6%
Makefile 1.3%
Shell 0.2%
Other 0.1%