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docs: update manpage and terminology examples to schema-of-schemas standard
Updated example documentation to use the new schema-of-schemas standard
with markdown schema format and multi-schema validation commands.

**Manpage Example Updates:**
- Changed schema reference from markdown-manpage-schema.json to manpage-schema-v1.0.md
- Updated all commands to use new multi-schema validation syntax
- Added examples of number-based validation (markitect schema-validate 2)
- Added examples of batch validation (--all, ranges, lists)
- Updated integration examples (CI/CD, pre-commit hooks, Makefile)
- Documented schema registry workflow

**Terminology Example Updates:**
- Changed schema reference from terminology-schema.json to terminology-schema-v1.0.md
- Updated all validation commands to use new CLI syntax
- Added examples of schema-list and numbered selection
- Added batch validation examples
- Updated GitHub Actions and pre-commit hook examples
- Documented schema registry access methods

**Key Changes:**
- All schema filenames now follow {domain}-schema-v{major}.{minor}.md convention
- Commands use schema registry with numbered or filename selection
- Batch validation examples added throughout
- Integration examples updated to new standard
- Documentation reflects markdown-first schema format

All schemas validated successfully against metaschema.

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

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
2026-01-05 13:13:24 +01:00
2025-12-17 23:08:02 +01:00
2025-10-03 03:39:43 +02:00
2025-10-03 03:39:43 +02:00

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.

  • Capabilities Architecture - Critical: How capabilities work as independent git submodules and separation of concerns
  • Caching System - Why and how MarkiTect's AST caching delivers 60-85% performance improvements
  • Coming soon: Database Schema, CLI Architecture

👥 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
2025-11-08 20:34:42 +00:00
Languages
Python 84.7%
JavaScript 8%
HTML 5.6%
Makefile 1.3%
Shell 0.2%
Other 0.1%