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🔧 Schema Management System: - schema-ingest: Store JSON schema files in database with metadata parsing - schema-list: List all stored schemas with --format and --names-only options - schema-get: Retrieve stored schemas to stdout or file - schema-delete: Remove schemas with confirmation prompts - Full database integration with schemas table 📊 Enhanced Format Control: - MARKITECT_DEFAULT_FORMAT environment variable for global format defaults - Consistent --format options across all CLI commands (table|json|yaml|simple) - get_default_format() function with fallback logic for invalid values - Applied format control to query, schema, metadata, list, and ast-stats commands 🛠️ Bug Fixes: - Fixed ast-stats command empty output by adding 'simple' format handler - Created missing schema_summary.py for schema visualization tests - All 394 tests now passing ✨ Usability Improvements: - Unified format handling across the entire CLI interface - Environment-based configuration for user preferences - Enhanced schema management workflow with comprehensive CRUD operations 🧪 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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