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tegwick 22008875d3 feat: Complete Issue #50 - Define metaschema for JSON schema structure
Implement comprehensive MarkiTect metaschema that extends standard JSON Schema
with MarkiTect-specific features for document analysis and generation.

🎯 TDD8 Implementation Complete:
- ISSUE: Analyzed existing schema system and requirements
- TEST: 15 comprehensive tests covering all features
- RED: Verified tests fail before implementation
- GREEN: Implemented metaschema JSON and validation logic
- REFACTOR: Clean, extensible validator architecture
- DOCUMENT: Updated CLI help and comprehensive documentation
- REFINE: 100% test success rate and CLI integration
- PUBLISH: Ready for production use

 Key Features Implemented:
- Heading text capture support (x-markitect-heading-text)
- Content field instructions (x-markitect-content-instructions)
- Outline structure representation (x-markitect-outline-mode/depth)
- Backward compatibility with existing schemas
- Validation rules for all new features
- CLI integration in schema-ingest command

📁 Files Added:
- markitect/metaschema.py - Validation logic and MetaschemaValidator
- markitect/schemas/markitect-metaschema.json - Metaschema definition
- Enhanced markitect/cli.py - Automatic metaschema validation

🧪 Testing:
- 15 comprehensive tests (100% passing)
- RED-GREEN-REFACTOR cycle validated
- CLI integration tested and working
- Backward compatibility verified

📋 Acceptance Criteria Met:
 Schema metaschema supports heading text capture
 Schema metaschema supports content field instructions
 Schema metaschema supports outline structure representation
 Schema metaschema is backward compatible with existing schemas
 Schema metaschema includes validation rules for new features
 Documentation explains the metaschema structure and usage

🔗 Foundation for Future Issues:
- Issue #51: Outline mode schema generation
- Issue #52: Heading text capture in schemas
- Issue #54: Content instruction capabilities
- Issue #55: Schema-based draft generation

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-01 02:39:29 +02:00
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.github/workflows feat: Implement comprehensive Testing Architecture Enhancement 2025-09-26 22:36:35 +02:00
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cli feat: Complete Issue #18 - Configuration and Environment Management CLI 2025-09-29 00:18:27 +02:00
config feat: Implement unified configuration management system 2025-09-26 17:45:56 +02:00
diary feat: Implement automatic git repository configuration detection for Gitea 2025-09-28 23:27:13 +02:00
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gitea feat: Consolidate Gitea API access through unified integration layer 2025-09-28 23:44:51 +02:00
infrastructure fix: Eliminate all 111 test warnings by fixing root causes 2025-09-27 20:14:22 +02:00
markitect feat: Complete Issue #50 - Define metaschema for JSON schema structure 2025-10-01 02:39:29 +02:00
services feat: Complete type safety improvements for CLI and service layers 2025-09-27 09:02:31 +02:00
tddai feat: Consolidate Gitea API access through unified integration layer 2025-09-28 23:44:51 +02:00
tests refactor: Remove deprecated query and schema commands and update all tests 2025-09-30 23:33:43 +02:00
wiki@648d8247c4 feat: Update wiki submodule with latest MarkdownMatters specification 2025-09-30 21:02:00 +02:00
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.gitmodules Add wiki as submodule tracking main 2025-09-16 23:28:11 +02:00
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ARCHITECTURE.md feat: Revolutionary Test Architecture - 7-Layer Organization with Advanced Testing Capabilities 2025-09-29 12:18:25 +02:00
AUTONOMOUS_WORK_REMINDER.md feat: Add GAMEPLAN.md and autonomous work protocols 2025-10-01 02:20:47 +02:00
CAPABILITIES.md feat: Revolutionary Test Architecture - 7-Layer Organization with Advanced Testing Capabilities 2025-09-29 12:18:25 +02:00
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DOMAIN_LOGIC_SEPARATION_DEMO.md feat: Implement domain logic separation with clean architecture 2025-09-26 22:15:45 +02:00
DOMAIN_LOGIC_SEPARATION_GAMEPLAN.md feat: Implement domain logic separation with clean architecture 2025-09-26 22:15:45 +02:00
ERROR_HANDLING_GUIDE.md docs: Add comprehensive error handling guidelines 2025-09-26 16:54:44 +02:00
FEATURES.md chore: Update features and issue lib 2025-09-26 17:19:16 +02:00
GAMEPLAN.md feat: Add GAMEPLAN.md and autonomous work protocols 2025-10-01 02:20:47 +02:00
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install-nvm.sh build: Helpers to initially setup the dev env 2025-09-23 01:23:32 +02:00
install-pip.sh feat: Add Python dependency management and fix test environment 2025-09-23 02:41:32 +02:00
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LEGACY_AGENT_GUIDE.md feat: Complete Issue #39 - Database CLI Reorganization with Comprehensive Legacy Compatibility System 2025-09-30 17:28:39 +02:00
LEGACY_COMPATIBILITY_SYSTEM.md feat: Complete Issue #39 - Database CLI Reorganization with Comprehensive Legacy Compatibility System 2025-09-30 17:28:39 +02:00
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ProjectStatusDigest.md docs: Updated project documentation 2025-09-25 23:17:14 +02:00
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run_randomized_tests.py feat: Revolutionary Test Architecture - 7-Layer Organization with Advanced Testing Capabilities 2025-09-29 12:18:25 +02:00
schema_summary.py feat: Complete Issue #3 - Schema Management with Enhanced Format Control 2025-09-30 02:59:43 +02:00
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tddai_issue_body.txt feat: Complete gitea integration test consolidation 2025-09-28 23:55:02 +02:00
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test_frontmatter.md feat: Complete Issue #2 - Fast Document Loading & CLI Manipulation 2025-09-25 03:03:04 +02:00
test_roundtrip.md feat: Complete Issue #2 - Fast Document Loading & CLI Manipulation 2025-09-25 03:03:04 +02:00
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visualize_schema.py feat: Complete Issue #8 - Detailed Validation Error Reporting and CLI Enhancements 2025-09-29 21:21:21 +02:00

MarkiTect - Advanced Markdown Engine

Your Markdown, Redefined.

MarkiTect transforms markdown from plain text into intelligent, structured data with performance optimization, schema validation, and relational querying capabilities. Stop treating documentation as text files—start managing it as a database.

Key Features:

  • Lightning Performance: 60-85% faster document processing through intelligent AST caching
  • Schema Validation: Enforce document structure and consistency
  • Database Integration: Query markdown content with SQL-like operations
  • CLI Tools: Complete command-line interface for automation and workflows

📚 Documentation

Quick Start: Getting Started · Command Reference

Architecture: Caching System · Performance Philosophy

Development: TDD Workflow · Contributing

Project Status: Current Status · Roadmap · Next Actions